Mastering Cloud Technologies for Future-Proof Career Growth
You're not behind because you’re not trying - you're behind because the tech landscape shifts faster than most training programs can catch up. Every day without a structured, results-driven path to mastering cloud technologies is another day your skills lose relevance, your opportunities shrink, and your career momentum stalls. The cloud is no longer optional - it’s the core infrastructure of every modern business. Organisations aren’t just hiring cloud specialists. They’re promoting them, funding their projects, and relying on them to future-proof entire IT ecosystems. Mastering Cloud Technologies for Future-Proof Career Growth is the only program designed to take you from concept to a professional-grade, board-ready cloud implementation blueprint in under 30 days - no matter your starting point. One learner, a mid-level IT analyst with two years of network administration experience, completed the course in 26 days. By Week 4, he presented a cost-optimised multi-cloud architecture to his leadership team - the proposal was greenlit, and he was promoted to Cloud Strategy Associate with a 38% salary increase. This isn’t about theory. It’s about delivering tangible, employer-valued outcomes that position you as the go-to expert in your organisation. Here’s how this course is structured to help you get there.Course Format & Delivery Details: Built for Clarity, Credibility, and Career Impact Self-Paced, On-Demand Learning with No Time Pressure
This is not a live event or a time-bound bootcamp. You gain immediate online access to the full suite of learning resources, fully self-paced, with no deadlines, fixed dates, or required attendance. Most learners complete the core curriculum in 4 to 6 weeks while working full-time, dedicating just 5 to 7 hours per week. Many report initial career-relevant results - such as cloud readiness assessments and migration roadmaps - within the first 10 days. Lifetime Access, Zero Expiry, Continuous Updates
Enrol once, learn forever. Your access never expires. Every update to cloud standards, security protocols, compliance frameworks, and provider features is automatically included at no additional cost. The course evolves as the industry evolves - and so do you. Learn Anywhere, Anytime, on Any Device
Access the entire curriculum 24/7 from any global location. The platform is fully responsive, mobile-friendly, and works flawlessly on tablets, smartphones, and work laptops - whether you're commuting, travelling, or transitioning between home and office. Real Instructor Guidance - Not Just Pre-Packaged Content
You are not left to figure it out alone. Throughout the course, you receive direct guidance through structured feedback pathways, detailed solution walkthroughs, and curated response templates for common cloud challenges. The course is authored and maintained by certified cloud architects with over 15 years of enterprise implementation experience - their expertise is embedded in every lesson, framework, and exercise. Receive a Globally Recognised Certificate of Completion
Upon finishing all required components, you’ll earn a Certificate of Completion issued by The Art of Service - a credential trusted by professionals in over 140 countries. This isn’t a participation trophy. It’s proof you’ve mastered actionable cloud competencies aligned with real enterprise demands. Recruiters recognise it. Hiring managers respect it. Your LinkedIn profile strengthens with it. Transparent, One-Time Pricing - No Hidden Fees
There are no surprise charges, subscription traps, or upsells. The price you see is the only price you pay. One investment. Full access. Secure checkout accepts Visa, Mastercard, and PayPal - all processed through encrypted gateways to protect your information. Strong Money-Back Guarantee: Zero Risk, Maximum Confidence
We offer a full refund if you complete the first two modules and find the content does not meet your expectations. This is not a test of motivation - it’s a promise of quality. If the materials don’t deliver immediate practical value, you’re refunded - no questions asked. Enrolment Confirmation and Access Flow
After enrolment, you’ll receive a confirmation email. Your access details will be sent separately once your learning pathway is fully provisioned - ensuring a seamless, error-free start. This Works Even If…
- You have no prior cloud experience
- You’re returning to tech after a career break
- You work in a non-technical role but need cloud fluency for strategic decisions
- You’re already in IT but feel your knowledge is fragmented or outdated
- Your company hasn’t adopted cloud tools yet - you’re preparing ahead of the shift
One senior project manager in healthcare shared: “I didn’t write code, but I needed to speak the language of cloud transformation. After Module 3, I led a vendor evaluation for a HIPAA-compliant data migration - my team called it the most informed scoping session we’d ever run.” That’s the power of structured, outcome-focused learning. This course eliminates the guesswork, the outdated tutorials, and the fragmented knowledge - replacing them with a repeatable, trusted framework for cloud mastery.
Extensive and Detailed Course Curriculum
Module 1: Foundations of Cloud Computing and the Shift to Digital Infrastructure - Understanding the Evolution of IT: From On-Premise to Cloud-Native
- Key Drivers Behind Cloud Adoption in Modern Enterprises
- Defining Cloud Computing: Core Characteristics and Service Models
- Comparing Public, Private, Hybrid, and Multi-Cloud Environments
- The Role of Scalability, Elasticity, and On-Demand Provisioning
- Understanding Pay-as-You-Go vs Fixed-Cost Infrastructure Models
- Cloud's Impact on Business Continuity and Disaster Recovery
- How Cloud Enables Rapid Innovation and Time-to-Market Reduction
- Debunking Common Cloud Myths and Misconceptions
- Introducing the Shared Responsibility Model in Cloud Security
Module 2: Core Cloud Service Models - IaaS, PaaS, SaaS, and Beyond - Detailed Breakdown of Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS): Architecture, Use Cases, and Limitations
- Software as a Service (SaaS): Integration, Customisation, and Governance
- Emerging Models: FaaS (Function as a Service), CaaS (Container as a Service)
- How to Select the Right Service Model Based on Business Needs
- Vendor Lock-In Risks and Mitigation Strategies by Service Tier
- Financial Implications of Each Model: TCO and Operational Costing
- Use Case Mapping: Customer Scenarios for Each Service Type
- Architectural Dependencies and Interoperability Challenges
- Building Future Flexibility into Service Model Decisions
Module 3: Major Cloud Providers - AWS, Azure, Google Cloud, and Oracle - Market Share Overview and Provider Positioning in 2025
- AWS Core Services: EC2, S3, Lambda, RDS, and IAM
- Microsoft Azure: Virtual Machines, Blob Storage, Functions, SQL Database
- Google Cloud Platform: Compute Engine, Cloud Storage, BigQuery, Cloud Functions
- Oracle Cloud: Specialised Workloads, Financial Systems, and Database Integration
- Regional Availability and Data Sovereignty by Provider
- Pricing Structure Comparison Across All Major Platforms
- Support Tiers, SLAs, and Enterprise Contract Options
- Comparing Ecosystem Maturity: SDKs, Tools, and Third-Party Integrations
- Strategic Fit: Choosing a Provider Based on Industry and Use Case
Module 4: Cloud Architecture Principles and Design Patterns - Twelve-Factor App Methodology for Cloud-Native Development
- Designing for Resilience: Redundancy, Failover, and Self-Healing Systems
- Horizontal vs Vertical Scaling: When to Use Each
- Immutable Infrastructure and Configuration-as-Code Practices
- Patterns for Stateless and Stateful Applications in the Cloud
- Event-Driven Architecture and Message Queues
- Microservices vs Monolithic Design in Cloud Environments
- Service Mesh Implementation and Observability Planning
- Caching Strategies: CDN, In-Memory, and Edge Caching
- Latency Optimisation and Performance Engineering
Module 5: Identity and Access Management (IAM) in the Cloud - Principles of Least Privilege and Zero Trust in Cloud IAM
- Setting Up Roles, Policies, and Permissions Across AWS, Azure, GCP
- Single Sign-On (SSO) Integration with Active Directory and Azure AD
- MFA Enforcement and Session Management Best Practices
- Service Accounts and Machine Identities Management
- Audit Logging and Access Trail Configuration
- Role-Based Access Control (RBAC) vs Attribute-Based (ABAC)
- Automated Policy Review and Compliance Checks
- Handling Temporary Access and Just-in-Time Privileges
- IAM Governance: Centralised vs Decentralised Models
Module 6: Cloud Networking and Connectivity - Virtual Private Cloud (VPC) Design and Subnetting Strategies
- Peering Connections and Transitive Routing Considerations
- Setting Up Site-to-Site and Client-to-Site VPNs
- Direct Connect, ExpressRoute, and Dedicated Interconnect Options
- DNS Management in the Cloud: Route 53, Cloud DNS, Azure DNS
- Load Balancing Techniques: Application, Network, and Global Load Balancers
- Firewall Rules, NACLs, and Security Groups Configuration
- Network Performance Monitoring and Latency Tracing
- IPv4 vs IPv6 Support Across Major Providers
- Securing East-West and North-South Traffic Flows
Module 7: Data Storage, Databases, and Management in the Cloud - Object Storage: S3, Blob Storage, Cloud Storage Best Practices
- Block Storage for VMs: EBS, Azure Disks, Persistent Disks
- File Storage Options: EFS, Azure Files, Cloud Filestore
- Relational Databases: Aurora, RDS, Cloud SQL, Azure SQL
- NoSQL Databases: DynamoDB, Cosmos DB, Firestore, Bigtable
- Choosing Between Managed and Self-Hosted Database Solutions
- Data Migration Tools and Strategies: AWS DMS, Azure Data Factory
- Backup, Snapshots, and Versioning for Critical Data
- Encryption at Rest and in Transit for All Storage Types
- Data Retention Policies and Lifecycle Management
Module 8: Cloud Security, Governance, and Compliance - Shared Responsibility Model: Where You’re Accountable
- Configuring CloudTrail, Cloud Audit Logs, and Azure Monitor
- Automated Compliance Scanning and Drift Detection
- NIST, ISO 27001, SOC 2, HIPAA, GDPR Alignment in Cloud Setups
- Security Posture Management and Cloud-Native Tools
- Incident Response Planning for Cloud Environments
- Burstable vs Sustained Security Workloads
- Securing APIs and Preventing Data Leakage
- Encryption Key Management with KMS, Cloud HSM, and Azure Key Vault
- Vendor Assessment Checklists for Third-Party Cloud Services
Module 9: Cost Management and FinOps Best Practices - Understanding Cloud Cost Drivers: Compute, Storage, Data Transfer
- Real-Time Cost Monitoring with Native and Third-Party Tools
- Tagging Strategies for Accurate Cost Attribution
- Right-Sizing Instances and Identifying Idle Resources
- Reserving Capacity: Savings Plans, Reserved Instances, Committed Use
- Spot Instances and Preemptible VMs: Risk-Reward Analysis
- Creating Departmental Budgets and Alert Thresholds
- Chargeback and Showback Models for Internal Accounting
- FinOps Culture: Bridging Finance, Engineering, and Leadership
- Monthly Optimisation Review Template and Execution Plan
Module 10: Cloud Migration Strategies and Execution Frameworks - Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
Module 1: Foundations of Cloud Computing and the Shift to Digital Infrastructure - Understanding the Evolution of IT: From On-Premise to Cloud-Native
- Key Drivers Behind Cloud Adoption in Modern Enterprises
- Defining Cloud Computing: Core Characteristics and Service Models
- Comparing Public, Private, Hybrid, and Multi-Cloud Environments
- The Role of Scalability, Elasticity, and On-Demand Provisioning
- Understanding Pay-as-You-Go vs Fixed-Cost Infrastructure Models
- Cloud's Impact on Business Continuity and Disaster Recovery
- How Cloud Enables Rapid Innovation and Time-to-Market Reduction
- Debunking Common Cloud Myths and Misconceptions
- Introducing the Shared Responsibility Model in Cloud Security
Module 2: Core Cloud Service Models - IaaS, PaaS, SaaS, and Beyond - Detailed Breakdown of Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS): Architecture, Use Cases, and Limitations
- Software as a Service (SaaS): Integration, Customisation, and Governance
- Emerging Models: FaaS (Function as a Service), CaaS (Container as a Service)
- How to Select the Right Service Model Based on Business Needs
- Vendor Lock-In Risks and Mitigation Strategies by Service Tier
- Financial Implications of Each Model: TCO and Operational Costing
- Use Case Mapping: Customer Scenarios for Each Service Type
- Architectural Dependencies and Interoperability Challenges
- Building Future Flexibility into Service Model Decisions
Module 3: Major Cloud Providers - AWS, Azure, Google Cloud, and Oracle - Market Share Overview and Provider Positioning in 2025
- AWS Core Services: EC2, S3, Lambda, RDS, and IAM
- Microsoft Azure: Virtual Machines, Blob Storage, Functions, SQL Database
- Google Cloud Platform: Compute Engine, Cloud Storage, BigQuery, Cloud Functions
- Oracle Cloud: Specialised Workloads, Financial Systems, and Database Integration
- Regional Availability and Data Sovereignty by Provider
- Pricing Structure Comparison Across All Major Platforms
- Support Tiers, SLAs, and Enterprise Contract Options
- Comparing Ecosystem Maturity: SDKs, Tools, and Third-Party Integrations
- Strategic Fit: Choosing a Provider Based on Industry and Use Case
Module 4: Cloud Architecture Principles and Design Patterns - Twelve-Factor App Methodology for Cloud-Native Development
- Designing for Resilience: Redundancy, Failover, and Self-Healing Systems
- Horizontal vs Vertical Scaling: When to Use Each
- Immutable Infrastructure and Configuration-as-Code Practices
- Patterns for Stateless and Stateful Applications in the Cloud
- Event-Driven Architecture and Message Queues
- Microservices vs Monolithic Design in Cloud Environments
- Service Mesh Implementation and Observability Planning
- Caching Strategies: CDN, In-Memory, and Edge Caching
- Latency Optimisation and Performance Engineering
Module 5: Identity and Access Management (IAM) in the Cloud - Principles of Least Privilege and Zero Trust in Cloud IAM
- Setting Up Roles, Policies, and Permissions Across AWS, Azure, GCP
- Single Sign-On (SSO) Integration with Active Directory and Azure AD
- MFA Enforcement and Session Management Best Practices
- Service Accounts and Machine Identities Management
- Audit Logging and Access Trail Configuration
- Role-Based Access Control (RBAC) vs Attribute-Based (ABAC)
- Automated Policy Review and Compliance Checks
- Handling Temporary Access and Just-in-Time Privileges
- IAM Governance: Centralised vs Decentralised Models
Module 6: Cloud Networking and Connectivity - Virtual Private Cloud (VPC) Design and Subnetting Strategies
- Peering Connections and Transitive Routing Considerations
- Setting Up Site-to-Site and Client-to-Site VPNs
- Direct Connect, ExpressRoute, and Dedicated Interconnect Options
- DNS Management in the Cloud: Route 53, Cloud DNS, Azure DNS
- Load Balancing Techniques: Application, Network, and Global Load Balancers
- Firewall Rules, NACLs, and Security Groups Configuration
- Network Performance Monitoring and Latency Tracing
- IPv4 vs IPv6 Support Across Major Providers
- Securing East-West and North-South Traffic Flows
Module 7: Data Storage, Databases, and Management in the Cloud - Object Storage: S3, Blob Storage, Cloud Storage Best Practices
- Block Storage for VMs: EBS, Azure Disks, Persistent Disks
- File Storage Options: EFS, Azure Files, Cloud Filestore
- Relational Databases: Aurora, RDS, Cloud SQL, Azure SQL
- NoSQL Databases: DynamoDB, Cosmos DB, Firestore, Bigtable
- Choosing Between Managed and Self-Hosted Database Solutions
- Data Migration Tools and Strategies: AWS DMS, Azure Data Factory
- Backup, Snapshots, and Versioning for Critical Data
- Encryption at Rest and in Transit for All Storage Types
- Data Retention Policies and Lifecycle Management
Module 8: Cloud Security, Governance, and Compliance - Shared Responsibility Model: Where You’re Accountable
- Configuring CloudTrail, Cloud Audit Logs, and Azure Monitor
- Automated Compliance Scanning and Drift Detection
- NIST, ISO 27001, SOC 2, HIPAA, GDPR Alignment in Cloud Setups
- Security Posture Management and Cloud-Native Tools
- Incident Response Planning for Cloud Environments
- Burstable vs Sustained Security Workloads
- Securing APIs and Preventing Data Leakage
- Encryption Key Management with KMS, Cloud HSM, and Azure Key Vault
- Vendor Assessment Checklists for Third-Party Cloud Services
Module 9: Cost Management and FinOps Best Practices - Understanding Cloud Cost Drivers: Compute, Storage, Data Transfer
- Real-Time Cost Monitoring with Native and Third-Party Tools
- Tagging Strategies for Accurate Cost Attribution
- Right-Sizing Instances and Identifying Idle Resources
- Reserving Capacity: Savings Plans, Reserved Instances, Committed Use
- Spot Instances and Preemptible VMs: Risk-Reward Analysis
- Creating Departmental Budgets and Alert Thresholds
- Chargeback and Showback Models for Internal Accounting
- FinOps Culture: Bridging Finance, Engineering, and Leadership
- Monthly Optimisation Review Template and Execution Plan
Module 10: Cloud Migration Strategies and Execution Frameworks - Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Detailed Breakdown of Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS): Architecture, Use Cases, and Limitations
- Software as a Service (SaaS): Integration, Customisation, and Governance
- Emerging Models: FaaS (Function as a Service), CaaS (Container as a Service)
- How to Select the Right Service Model Based on Business Needs
- Vendor Lock-In Risks and Mitigation Strategies by Service Tier
- Financial Implications of Each Model: TCO and Operational Costing
- Use Case Mapping: Customer Scenarios for Each Service Type
- Architectural Dependencies and Interoperability Challenges
- Building Future Flexibility into Service Model Decisions
Module 3: Major Cloud Providers - AWS, Azure, Google Cloud, and Oracle - Market Share Overview and Provider Positioning in 2025
- AWS Core Services: EC2, S3, Lambda, RDS, and IAM
- Microsoft Azure: Virtual Machines, Blob Storage, Functions, SQL Database
- Google Cloud Platform: Compute Engine, Cloud Storage, BigQuery, Cloud Functions
- Oracle Cloud: Specialised Workloads, Financial Systems, and Database Integration
- Regional Availability and Data Sovereignty by Provider
- Pricing Structure Comparison Across All Major Platforms
- Support Tiers, SLAs, and Enterprise Contract Options
- Comparing Ecosystem Maturity: SDKs, Tools, and Third-Party Integrations
- Strategic Fit: Choosing a Provider Based on Industry and Use Case
Module 4: Cloud Architecture Principles and Design Patterns - Twelve-Factor App Methodology for Cloud-Native Development
- Designing for Resilience: Redundancy, Failover, and Self-Healing Systems
- Horizontal vs Vertical Scaling: When to Use Each
- Immutable Infrastructure and Configuration-as-Code Practices
- Patterns for Stateless and Stateful Applications in the Cloud
- Event-Driven Architecture and Message Queues
- Microservices vs Monolithic Design in Cloud Environments
- Service Mesh Implementation and Observability Planning
- Caching Strategies: CDN, In-Memory, and Edge Caching
- Latency Optimisation and Performance Engineering
Module 5: Identity and Access Management (IAM) in the Cloud - Principles of Least Privilege and Zero Trust in Cloud IAM
- Setting Up Roles, Policies, and Permissions Across AWS, Azure, GCP
- Single Sign-On (SSO) Integration with Active Directory and Azure AD
- MFA Enforcement and Session Management Best Practices
- Service Accounts and Machine Identities Management
- Audit Logging and Access Trail Configuration
- Role-Based Access Control (RBAC) vs Attribute-Based (ABAC)
- Automated Policy Review and Compliance Checks
- Handling Temporary Access and Just-in-Time Privileges
- IAM Governance: Centralised vs Decentralised Models
Module 6: Cloud Networking and Connectivity - Virtual Private Cloud (VPC) Design and Subnetting Strategies
- Peering Connections and Transitive Routing Considerations
- Setting Up Site-to-Site and Client-to-Site VPNs
- Direct Connect, ExpressRoute, and Dedicated Interconnect Options
- DNS Management in the Cloud: Route 53, Cloud DNS, Azure DNS
- Load Balancing Techniques: Application, Network, and Global Load Balancers
- Firewall Rules, NACLs, and Security Groups Configuration
- Network Performance Monitoring and Latency Tracing
- IPv4 vs IPv6 Support Across Major Providers
- Securing East-West and North-South Traffic Flows
Module 7: Data Storage, Databases, and Management in the Cloud - Object Storage: S3, Blob Storage, Cloud Storage Best Practices
- Block Storage for VMs: EBS, Azure Disks, Persistent Disks
- File Storage Options: EFS, Azure Files, Cloud Filestore
- Relational Databases: Aurora, RDS, Cloud SQL, Azure SQL
- NoSQL Databases: DynamoDB, Cosmos DB, Firestore, Bigtable
- Choosing Between Managed and Self-Hosted Database Solutions
- Data Migration Tools and Strategies: AWS DMS, Azure Data Factory
- Backup, Snapshots, and Versioning for Critical Data
- Encryption at Rest and in Transit for All Storage Types
- Data Retention Policies and Lifecycle Management
Module 8: Cloud Security, Governance, and Compliance - Shared Responsibility Model: Where You’re Accountable
- Configuring CloudTrail, Cloud Audit Logs, and Azure Monitor
- Automated Compliance Scanning and Drift Detection
- NIST, ISO 27001, SOC 2, HIPAA, GDPR Alignment in Cloud Setups
- Security Posture Management and Cloud-Native Tools
- Incident Response Planning for Cloud Environments
- Burstable vs Sustained Security Workloads
- Securing APIs and Preventing Data Leakage
- Encryption Key Management with KMS, Cloud HSM, and Azure Key Vault
- Vendor Assessment Checklists for Third-Party Cloud Services
Module 9: Cost Management and FinOps Best Practices - Understanding Cloud Cost Drivers: Compute, Storage, Data Transfer
- Real-Time Cost Monitoring with Native and Third-Party Tools
- Tagging Strategies for Accurate Cost Attribution
- Right-Sizing Instances and Identifying Idle Resources
- Reserving Capacity: Savings Plans, Reserved Instances, Committed Use
- Spot Instances and Preemptible VMs: Risk-Reward Analysis
- Creating Departmental Budgets and Alert Thresholds
- Chargeback and Showback Models for Internal Accounting
- FinOps Culture: Bridging Finance, Engineering, and Leadership
- Monthly Optimisation Review Template and Execution Plan
Module 10: Cloud Migration Strategies and Execution Frameworks - Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Twelve-Factor App Methodology for Cloud-Native Development
- Designing for Resilience: Redundancy, Failover, and Self-Healing Systems
- Horizontal vs Vertical Scaling: When to Use Each
- Immutable Infrastructure and Configuration-as-Code Practices
- Patterns for Stateless and Stateful Applications in the Cloud
- Event-Driven Architecture and Message Queues
- Microservices vs Monolithic Design in Cloud Environments
- Service Mesh Implementation and Observability Planning
- Caching Strategies: CDN, In-Memory, and Edge Caching
- Latency Optimisation and Performance Engineering
Module 5: Identity and Access Management (IAM) in the Cloud - Principles of Least Privilege and Zero Trust in Cloud IAM
- Setting Up Roles, Policies, and Permissions Across AWS, Azure, GCP
- Single Sign-On (SSO) Integration with Active Directory and Azure AD
- MFA Enforcement and Session Management Best Practices
- Service Accounts and Machine Identities Management
- Audit Logging and Access Trail Configuration
- Role-Based Access Control (RBAC) vs Attribute-Based (ABAC)
- Automated Policy Review and Compliance Checks
- Handling Temporary Access and Just-in-Time Privileges
- IAM Governance: Centralised vs Decentralised Models
Module 6: Cloud Networking and Connectivity - Virtual Private Cloud (VPC) Design and Subnetting Strategies
- Peering Connections and Transitive Routing Considerations
- Setting Up Site-to-Site and Client-to-Site VPNs
- Direct Connect, ExpressRoute, and Dedicated Interconnect Options
- DNS Management in the Cloud: Route 53, Cloud DNS, Azure DNS
- Load Balancing Techniques: Application, Network, and Global Load Balancers
- Firewall Rules, NACLs, and Security Groups Configuration
- Network Performance Monitoring and Latency Tracing
- IPv4 vs IPv6 Support Across Major Providers
- Securing East-West and North-South Traffic Flows
Module 7: Data Storage, Databases, and Management in the Cloud - Object Storage: S3, Blob Storage, Cloud Storage Best Practices
- Block Storage for VMs: EBS, Azure Disks, Persistent Disks
- File Storage Options: EFS, Azure Files, Cloud Filestore
- Relational Databases: Aurora, RDS, Cloud SQL, Azure SQL
- NoSQL Databases: DynamoDB, Cosmos DB, Firestore, Bigtable
- Choosing Between Managed and Self-Hosted Database Solutions
- Data Migration Tools and Strategies: AWS DMS, Azure Data Factory
- Backup, Snapshots, and Versioning for Critical Data
- Encryption at Rest and in Transit for All Storage Types
- Data Retention Policies and Lifecycle Management
Module 8: Cloud Security, Governance, and Compliance - Shared Responsibility Model: Where You’re Accountable
- Configuring CloudTrail, Cloud Audit Logs, and Azure Monitor
- Automated Compliance Scanning and Drift Detection
- NIST, ISO 27001, SOC 2, HIPAA, GDPR Alignment in Cloud Setups
- Security Posture Management and Cloud-Native Tools
- Incident Response Planning for Cloud Environments
- Burstable vs Sustained Security Workloads
- Securing APIs and Preventing Data Leakage
- Encryption Key Management with KMS, Cloud HSM, and Azure Key Vault
- Vendor Assessment Checklists for Third-Party Cloud Services
Module 9: Cost Management and FinOps Best Practices - Understanding Cloud Cost Drivers: Compute, Storage, Data Transfer
- Real-Time Cost Monitoring with Native and Third-Party Tools
- Tagging Strategies for Accurate Cost Attribution
- Right-Sizing Instances and Identifying Idle Resources
- Reserving Capacity: Savings Plans, Reserved Instances, Committed Use
- Spot Instances and Preemptible VMs: Risk-Reward Analysis
- Creating Departmental Budgets and Alert Thresholds
- Chargeback and Showback Models for Internal Accounting
- FinOps Culture: Bridging Finance, Engineering, and Leadership
- Monthly Optimisation Review Template and Execution Plan
Module 10: Cloud Migration Strategies and Execution Frameworks - Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Virtual Private Cloud (VPC) Design and Subnetting Strategies
- Peering Connections and Transitive Routing Considerations
- Setting Up Site-to-Site and Client-to-Site VPNs
- Direct Connect, ExpressRoute, and Dedicated Interconnect Options
- DNS Management in the Cloud: Route 53, Cloud DNS, Azure DNS
- Load Balancing Techniques: Application, Network, and Global Load Balancers
- Firewall Rules, NACLs, and Security Groups Configuration
- Network Performance Monitoring and Latency Tracing
- IPv4 vs IPv6 Support Across Major Providers
- Securing East-West and North-South Traffic Flows
Module 7: Data Storage, Databases, and Management in the Cloud - Object Storage: S3, Blob Storage, Cloud Storage Best Practices
- Block Storage for VMs: EBS, Azure Disks, Persistent Disks
- File Storage Options: EFS, Azure Files, Cloud Filestore
- Relational Databases: Aurora, RDS, Cloud SQL, Azure SQL
- NoSQL Databases: DynamoDB, Cosmos DB, Firestore, Bigtable
- Choosing Between Managed and Self-Hosted Database Solutions
- Data Migration Tools and Strategies: AWS DMS, Azure Data Factory
- Backup, Snapshots, and Versioning for Critical Data
- Encryption at Rest and in Transit for All Storage Types
- Data Retention Policies and Lifecycle Management
Module 8: Cloud Security, Governance, and Compliance - Shared Responsibility Model: Where You’re Accountable
- Configuring CloudTrail, Cloud Audit Logs, and Azure Monitor
- Automated Compliance Scanning and Drift Detection
- NIST, ISO 27001, SOC 2, HIPAA, GDPR Alignment in Cloud Setups
- Security Posture Management and Cloud-Native Tools
- Incident Response Planning for Cloud Environments
- Burstable vs Sustained Security Workloads
- Securing APIs and Preventing Data Leakage
- Encryption Key Management with KMS, Cloud HSM, and Azure Key Vault
- Vendor Assessment Checklists for Third-Party Cloud Services
Module 9: Cost Management and FinOps Best Practices - Understanding Cloud Cost Drivers: Compute, Storage, Data Transfer
- Real-Time Cost Monitoring with Native and Third-Party Tools
- Tagging Strategies for Accurate Cost Attribution
- Right-Sizing Instances and Identifying Idle Resources
- Reserving Capacity: Savings Plans, Reserved Instances, Committed Use
- Spot Instances and Preemptible VMs: Risk-Reward Analysis
- Creating Departmental Budgets and Alert Thresholds
- Chargeback and Showback Models for Internal Accounting
- FinOps Culture: Bridging Finance, Engineering, and Leadership
- Monthly Optimisation Review Template and Execution Plan
Module 10: Cloud Migration Strategies and Execution Frameworks - Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Shared Responsibility Model: Where You’re Accountable
- Configuring CloudTrail, Cloud Audit Logs, and Azure Monitor
- Automated Compliance Scanning and Drift Detection
- NIST, ISO 27001, SOC 2, HIPAA, GDPR Alignment in Cloud Setups
- Security Posture Management and Cloud-Native Tools
- Incident Response Planning for Cloud Environments
- Burstable vs Sustained Security Workloads
- Securing APIs and Preventing Data Leakage
- Encryption Key Management with KMS, Cloud HSM, and Azure Key Vault
- Vendor Assessment Checklists for Third-Party Cloud Services
Module 9: Cost Management and FinOps Best Practices - Understanding Cloud Cost Drivers: Compute, Storage, Data Transfer
- Real-Time Cost Monitoring with Native and Third-Party Tools
- Tagging Strategies for Accurate Cost Attribution
- Right-Sizing Instances and Identifying Idle Resources
- Reserving Capacity: Savings Plans, Reserved Instances, Committed Use
- Spot Instances and Preemptible VMs: Risk-Reward Analysis
- Creating Departmental Budgets and Alert Thresholds
- Chargeback and Showback Models for Internal Accounting
- FinOps Culture: Bridging Finance, Engineering, and Leadership
- Monthly Optimisation Review Template and Execution Plan
Module 10: Cloud Migration Strategies and Execution Frameworks - Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Assessment Phase: Application Inventory and Dependency Mapping
- Choosing Between Rehost, Refactor, Replatform, and Rearchitect
- Lift-and-Shift vs Cloud-Optimised Migration Approaches
- Running Proof-of-Concept Migrations with Minimal Risk
- Phased Rollout Planning and Pilot Testing
- Data Transfer Methods: Online, Offline, Snowball, Data Box
- Cutover Planning and Downtime Minimisation
- Post-Migration Validation and Performance Baseline Checks
- Handling Legacy System Dependencies and API Gaps
- Creating a Migration Runbook and Communication Plan
Module 11: Automation, Infrastructure as Code (IaC), and DevOps Integration - Introduction to Infrastructure as Code: Benefits and Principles
- Using Terraform for Multi-Cloud Provisioning
- AWS CloudFormation and Azure Resource Manager Templates
- Managing State Files and Version Control for IaC
- CI/CD Pipelines for Automated Deployment in the Cloud
- GitHub Actions, Azure DevOps, and Jenkins Integration
- Automated Testing for Cloud Configurations
- Policy-as-Code: Enforcing Standards with Open Policy Agent
- Drift Detection and Automated Remediation Workflows
- Secrets Management in Automation: Avoiding Hardcoded Credentials
Module 12: Containerisation and Orchestration with Kubernetes - Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Why Containers Over Virtual Machines? Density and Portability
- Docker Fundamentals: Images, Volumes, Networking
- Container Registries: ECR, ACR, Google Container Registry
- Kubernetes Architecture: Nodes, Pods, Services, Deployments
- Managed Kubernetes Services: EKS, AKS, GKE
- Scaling Applications with Horizontal Pod Autoscalers
- Rolling Updates and Canary Deployments
- Service Discovery and Internal Load Balancing in Clusters
- Monitoring and Logging for Container Workloads
- Securing Kubernetes: RBAC, Network Policies, Admission Controllers
Module 13: Serverless Computing and Event-Driven Workflows - Understanding Serverless: No Servers, No Management
- AWS Lambda, Azure Functions, Google Cloud Functions
- Event Sources: S3, SQS, API Gateway, EventBridge, Pub/Sub
- Cold Start Optimisation and Performance Tuning
- Serverless Security: Permissions, VPC Access, and Layering
- Cost Analysis: When Serverless Is and Isn’t Cost-Effective
- Building API Backends Without Servers
- Integrating Serverless with Legacy Systems
- Monitoring and Tracing Serverless Functions
- Designing for Idempotency and Retries in Event Flow
Module 14: Observability - Monitoring, Logging, and Alerting - Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Defining Observability: Beyond Traditional Monitoring
- CloudWatch, Azure Monitor, Stackdriver: Core Features
- Custom Metrics and Dashboard Creation for Business KPIs
- Centralised Log Aggregation with CloudTrail, Fluentd, Log Analytics
- Structured Logging and JSON Payload Best Practices
- Setting Up Threshold-Based and Anomaly Detection Alerts
- Distributed Tracing with X-Ray, Cloud Trace, Application Insights
- Incident Escalation Protocols and On-Call Management
- Correlating Logs, Metrics, and Traces for Root Cause Analysis
- Observability for Non-Technical Stakeholders: Executive Dashboards
Module 15: Disaster Recovery, Backup, and High Availability - Defining RTO and RPO in Cloud Recovery Planning
- Automated Backup Strategies Using Native Tools
- Multi-Region Replication and Active-Passive Setups
- Testing Disaster Recovery Without Downtime
- Failover and Failback Procedures for Critical Systems
- Snapshot Management and Retention Policies
- Database High Availability: Always On, Multi-AZ, Regional Clusters
- Documenting and Maintaining a Cloud DR Playbook
- Third-Party Backup Solutions Integration
- Regulatory Requirements for Data Preservation and Recovery
Module 16: Edge Computing and Cloud-Native Hybrid Models - What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- What Is Edge Computing and Where Does It Fit?
- AWS Outposts, Azure Stack, Google Anthos Overview
- Low-Latency Use Cases: Manufacturing, IoT, Healthcare
- Data Processing at the Edge: Pattern Recognition and Filtering
- Synchronisation Between Edge Nodes and Central Cloud
- Security Challenges in Distributed Edge Environments
- Bandwidth Optimisation for Edge-to-Cloud Sync
- Managing Edge Devices at Scale
- Edge Analytics vs Cloud Analytics Decision Framework
- Future Trends: AI at the Edge and Autonomous Edge Systems
Module 17: Cloud Governance, Policies, and organisational Alignment - Establishing a Cloud Centre of Excellence (CCoE)
- Defining Cloud Adoption and Usage Policies
- Role-Based Access for Governance, Finance, Security Teams
- Creating a Cloud Handover Checklist for Project Delivery
- Budgeting, Forecasting, and Accountability Models
- Enforcing Standards Through Automated Guardrails
- Cloud Education Programs for Non-Technical Stakeholders
- Vendor Management and Contract Oversight
- Reporting Cloud KPIs to Executive Leadership
- Measuring Cloud Success Beyond Cost: Innovation and Speed
Module 18: AI, Machine Learning, and Cloud Integration - Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Cloud Platforms for AI/ML: SageMaker, Vertex AI, Azure ML
- Training vs Inference Workloads in the Cloud
- Data Preparation and Labelling Pipelines in Cloud Storage
- Model Scaling and GPU Instance Management
- Automated Hyperparameter Tuning and Model Versioning
- Deploying Models as REST Endpoints or Batch Jobs
- Monitoring Model Drift and Retraining Triggers
- Federated Learning and Privacy-Preserving AI in the Cloud
- Integrating AI Outputs into Business Applications
- Ethical Considerations and Bias Auditing in Cloud AI
Module 19: Real-World Cloud Projects and Capstone Exercises - Project 1: Design a Secure Multi-Tenant SaaS Architecture
- Project 2: Migrate an On-Premise CRM to a Cloud-Managed Service
- Project 3: Build a Serverless Data Pipeline for Real-Time Analytics
- Project 4: Automate a Full Environment Using Terraform
- Project 5: Implement Zero Trust Security in a Hybrid Cloud Setup
- Project 6: Optimise a $50K Monthly Cloud Bill Using FinOps Tools
- Project 7: Set Up a Kubernetes Cluster for a Microservices App
- Project 8: Configure End-to-End Monitoring and Alerting
- Project 9: Design a Disaster Recovery Plan for a Financial Application
- Project 10: Present a Board-Ready Cloud Transformation Proposal
Module 20: Career Advancement, Certification Pathways, and Next Steps - Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers
- Mapping Cloud Skills to Job Roles: Architect, Engineer, Consultant
- Top-Paying Cloud Roles and Their Required Competencies
- How to Leverage Your Course Certificate in Job Applications
- Building a Cloud-Focused LinkedIn Profile and Portfolio
- Preparing for Interviews: Common Technical Questions and Scenarios
- Connecting with Cloud Communities and Networking Events
- Choosing the Right Certifications: AWS, Azure, GCP, CompTIA
- Creating a Personal Learning Roadmap for Continuous Growth
- Transitioning from General IT to Specialised Cloud Careers
- Presenting Your Cloud Expertise to Leadership and Peers