Mastering AWS Cloud Architecture for Enterprise Scalability and AI Integration
COURSE FORMAT & DELIVERY DETAILS Learn On Your Terms - Self-Paced, Always Available, Always Yours
This comprehensive course is designed for professionals who demand flexibility without sacrificing depth, structure, or results. From the moment you enroll, you gain immediate online access to a fully structured, self-paced learning journey that adapts to your schedule, not the other way around. Designed for Maximum Clarity, Minimum Risk
You progress through a meticulously organized curriculum at your own pace, with no deadlines, no live sessions to attend, and no time zones to navigate. This is on-demand mastery, built for serious learners with real-world responsibilities. - Self-Paced Learning – Begin and advance anytime, studying when it works best for you, whether early morning or late night.
- Immediate Online Access – Once enrolled, your journey starts right away with secure login credentials delivered promptly.
- Typical Completion Time: 6–8 Weeks – Most learners complete the full program within two months while applying concepts directly to real infrastructure challenges. Many report implementing optimizations in their current role within the first two weeks.
- Lifetime Access – Your enrollment includes permanent access to all course materials, including future updates and enhancements. As AWS evolves and new AI integration patterns emerge, your knowledge base evolves with it - at no extra cost.
- 24/7 Global Access, Mobile-Friendly – Access your lessons from any device, anywhere in the world. Whether you’re reviewing architecture frameworks on your smartphone during a commute or deep-diving into design patterns on your tablet, the experience is seamless and responsive.
- Direct Instructor Support – You are not alone. Receive expert guidance through structured feedback avenues, curated Q&A pathways, and purpose-built support channels monitored by senior AWS solution architects with extensive enterprise deployment experience.
- Certificate of Completion Issued by The Art of Service – Upon finishing the course, you receive a globally recognized Certificate of Completion, verifying your mastery of enterprise-grade AWS architecture and AI integration strategies. The Art of Service has empowered over 150,000 professionals with industry-respected certifications in cloud, IT, and digital transformation.
- Transparent Pricing – No Hidden Fees – The price you see is the price you pay. No recurring charges, no surprise upgrades, no locked content behind additional paywalls. Everything you need is included upfront.
- Secure Payment Options – We accept Visa, Mastercard, and PayPal, ensuring fast, safe, and universally accessible enrollment.
- 100% Satisfied or Refunded Guarantee – If this course does not meet your expectations, you are fully protected by our unconditional satisfaction promise. Request a refund at any time within 30 days of enrollment, no questions asked. Your investment carries zero financial risk.
- Confirmation and Access Process – After enrollment, you will receive an automated confirmation email. Once your course materials are fully provisioned, a follow-up message with detailed access instructions will be sent to ensure a smooth onboarding experience.
Will This Work For Me? Absolutely - Even If You’re Not a Full-Time Cloud Engineer
This course was engineered to deliver results regardless of your current role or technical depth. The modular, actionable design ensures that even if you’re transitioning from on-prem infrastructure, managing hybrid environments, or leading technical teams without hands-on coding daily, you will gain clarity, confidence, and immediate applicability. - For Solutions Architects: Learn to design resilient, cost-optimized architectures that scale seamlessly under enterprise workloads and incorporate real-time AI inference pipelines.
- For DevOps Engineers: Master deployment blueprints, infrastructure-as-code patterns, and automation workflows that reduce operational overhead by up to 60%.
- For Technical Project Managers: Gain the strategic vocabulary and architectural fluency to lead cloud initiatives with precision and align technical execution with business outcomes.
- For CTOs and Cloud Strategy Leads: Understand how to future-proof systems with AI-readiness, compliance-ready frameworks, and multi-region scalability patterns that support billion-dollar scale.
- This works even if: You’ve never deployed a production VPC, you’re unfamiliar with AI model hosting, or your organization still relies heavily on legacy systems. The course begins with foundational clarity and builds toward advanced mastery using real enterprise scenarios, step by step.
We’ve built this program with one goal: to eliminate every barrier between you and transformative career growth. With lifetime updates, global recognition, and real-world implementation focus, you’re not buying a course - you’re investing in a permanent competitive advantage.
EXTENSIVE AND DETAILED COURSE CURRICULUM
Module 1: Foundations of AWS Cloud Architecture - Understanding the AWS Global Infrastructure: Regions, Availability Zones, and Edge Locations
- Core Services Overview: EC2, S3, VPC, IAM, Lambda, RDS, and CloudFront
- Setting Up a Secure AWS Account with Multi-Account Strategy
- Implementing IAM Best Practices: Roles, Users, Policies, and Least Privilege
- Creating a Production-Ready VPC with Public and Private Subnets
- Configuring Route Tables, Internet Gateways, and NAT Devices
- Managing AWS Cost Allocation Tags and Budgeting Tools
- Introduction to AWS Organizations and SCPs
- Understanding Shared Responsibility Model for Security
- Establishing CloudTrail for API Auditing and Monitoring
- Applying AWS Config for Compliance and Rule-Based Evaluation
- Foundations of Scalability: Vertical vs Horizontal Scaling Principles
- Basics of High Availability: Redundancy and Failover Concepts
- Designing for Disaster Recovery: Backup, Replication, and Restore
- Architectural Decision Frameworks: How to Choose the Right Service
Module 2: Enterprise Scalability Design Patterns - Auto Scaling Groups: Design, Scaling Policies, and Lifecycle Hooks
- Load Balancing Strategies: ALB, NLB, and Gateway Load Balancer
- Distributed Caching with Amazon ElastiCache (Redis and Memcached)
- Content Delivery with CloudFront: Optimization and Security
- Database Scaling: Read Replicas, Sharding, and Aurora Serverless
- Designing Elastic Storage: EBS, EFS, and FSx for Enterprise Workloads
- Event-Driven Scaling Using SQS, SNS, and EventBridge
- Building Resilient Microservices with ECS and EKS
- Multi-AZ and Multi-Region Deployment Patterns
- State Management in Distributed Systems
- Decoupling Services with Message Queues and Pub/Sub
- Performance Benchmarking and Latency Optimization
- Cost-Efficiency in Scalable Systems: Spot Instances and Savings Plans
- Implementing Blue-Green Deployments and Canary Releases
- Monitoring Scaling Events with CloudWatch Alarms and Metrics
Module 3: Advanced Networking and Connectivity - Designing Hybrid Cloud Architectures with AWS Direct Connect
- Site-to-Site VPN Configuration and Best Practices
- Transit Gateway: Centralized Connectivity for Multi-VPC Environments
- PrivateLink: Secure Service Access Without Exposure to the Internet
- DNS Management with Route 53: Failover, Latency, and Geolocation Routing
- Network Security Groups and VPC Security Best Practices
- Firewall Management with AWS Network Firewall
- Inspecting Traffic with VPC Flow Logs and GuardDuty
- Securing Data in Transit: TLS, Certificate Manager, and ACM Integration
- WAF and Shield: Protecting Applications from DDoS and Web Exploits
- Designing for Zero Trust Networking in AWS
- Service Control Policies for Network Access Governance
- Peering Across Accounts and Organizations
- Hybrid DNS Resolution with Route 53 Resolver
- Network Performance Monitoring and Optimization
Module 4: Data Architecture and Storage Engineering - Data Lifecycle Management: S3 Storage Classes and Lifecycle Policies
- Secure Data Encryption: SSE-S3, SSE-KMS, and Client-Side Encryption
- Data Governance with S3 Object Lock and Legal Hold
- Building a Data Lake on S3 with Cataloging and Partitioning
- Database Selection Framework: Relational vs NoSQL vs In-Memory
- Designing for AWS DynamoDB: Partition Keys, GSIs, and LSIs
- DynamoDB Accelerator (DAX) for Microsecond Response Times
- Time Series Data with Timestream
- Graph Data Modeling with Neptune
- S3 Cross-Region Replication and Event Notifications
- Data Warehousing with Redshift: Spectrum, RA3 Nodes, and Concurrency
- Glue Data Catalog and ETL Orchestration
- Athena Query Optimization and Cost Management
- Streaming Data Pipelines with Kinesis Data Streams and Firehose
- Best Practices for Data Backup and Point-in-Time Recovery
Module 5: Infrastructure as Code and CI/CD Automation - Introduction to Infrastructure as Code: Why YAML and JSON Matter
- Using AWS CloudFormation: Templates, Stacks, and Drift Detection
- Deep Dive into Terraform: State Management, Modules, and Providers
- Comparison: CloudFormation vs Terraform for Enterprise Use Cases
- Managing Configuration with AWS Systems Manager
- Automating Deployments with CodePipeline and CodeDeploy
- Source Control Integration with CodeCommit and GitHub
- Secure Pipeline Design: Secrets Management and Role Assumption
- Testing Infrastructure Changes in Staging Environments
- Immutable Infrastructure Patterns and Versioned Artifacts
- Policy as Code with AWS Service Catalog and Config Rules
- CI/CD for Serverless Applications with SAM and CDK
- Automating Compliance Checks in the Pipeline
- Rollback Strategies and Incident Recovery in CI/CD
- Monitoring Deployment Success with Custom Metrics
Module 6: AI Integration and Machine Learning Enablement - Overview of AWS AI and ML Services: SageMaker, Rekognition, Lex, Polly, Transcribe
- Designing AI-Ready Architectures from the Ground Up
- Data Preparation Pipelines for Machine Learning
- Feature Stores and Model Versioning with SageMaker
- Training Pipelines: Distributed Training and Spot Instances
- Model Hosting on SageMaker Endpoints with Auto Scaling
- Real-Time Inference vs Batch Processing Patterns
- Integrating AI into Web Applications via API Gateway and Lambda
- Building Chatbots with Lex and Integrating with Contact Center Solutions
- Image and Video Analysis with Rekognition in Enterprise Systems
- Speech-to-Text and Text-to-Speech Workflows with Transcribe and Polly
- Custom Model Development Using SageMaker Notebooks
- Model Monitoring and Drift Detection
- Secure Access to AI Endpoints with IAM and Cognito
- Cost Optimization for AI Workloads: Instance Selection and Auto Scaling
Module 7: Security, Compliance, and Governance at Scale - Enterprise Security Frameworks: CIS, NIST, ISO 27001 Alignment
- Multi-Account Security Strategy with Control Tower
- Centralized Logging and Monitoring with AWS Security Hub
- Automated Threat Detection Using GuardDuty and Macie
- Key Management with AWS KMS and Customer Managed Keys
- Secrets Management Using AWS Secrets Manager
- Compliance Dashboarding and Audit Reporting
- Regulatory Requirements for GDPR, HIPAA, and SOC 2
- Secure Secret Rotation and Credential Management
- Monitoring for Unauthorized Access and Anomalies
- Implementing Automated Remediation with EventBridge and Lambda
- Security Baselines for EC2, RDS, and S3 Using Config Rules
- Penetration Testing Policies and AWS Approval Processes
- Identity Federation with Azure AD, Okta, and SAML Integration
- Security Operations Center (SOC) Integration with AWS
Module 8: Observability, Monitoring, and Performance Engineering - CloudWatch Metrics, Logs, and Alarms: Advanced Use Cases
- Custom Dashboards for Real-Time System Visibility
- Distributed Tracing with AWS X-Ray
- Log Aggregation and Analysis with CloudWatch Logs Insights
- Setting Up Proactive Alerting Based on SLOs
- Application Performance Monitoring for Microservices
- Monitoring AI Workloads: Latency, Errors, and Throughput
- Cost Monitoring and Optimization Recommendations
- Performance Tuning for EC2, RDS, and Lambda Functions
- Latency Analysis Across VPCs and Regions
- Root Cause Analysis Frameworks for Cloud Outages
- Integrating Third-Party Monitoring Tools (Datadog, New Relic)
- Setting Up Synthetic Monitoring with CloudWatch Canaries
- Health Event Notifications and Incident Response Playbooks
- Creating Operational Excellence Reviews
Module 9: Scalable Serverless and Event-Driven Architectures - Fundamentals of Serverless Computing with AWS Lambda
- Event Sources: API Gateway, S3, SQS, DynamoDB Streams, Kinesis
- Concurrency and Throttling Controls in Lambda
- Provisioned Concurrency for Predictable Performance
- Serverless API Design with API Gateway REST and HTTP APIs
- JWT and OAuth Integration for Secure Serverless Endpoints
- Serverless Data Processing: Step Functions and Event Chaining
- Error Handling and Dead Letter Queues (DLQ) for Reliability
- Cost Analysis of Serverless vs Provisioned Workloads
- Building Full Applications with S3, Lambda, API Gateway, and DynamoDB
- Serverless CI/CD: Automated Testing and Deployment
- Versioning and Aliases for Production Safety
- Environment Isolation: Dev, Test, Prod in Serverless
- Monitoring and Debugging Serverless Applications
- Security Hardening for Lambda Functions and API Endpoints
Module 10: Enterprise AI Architecture Patterns - End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
Module 1: Foundations of AWS Cloud Architecture - Understanding the AWS Global Infrastructure: Regions, Availability Zones, and Edge Locations
- Core Services Overview: EC2, S3, VPC, IAM, Lambda, RDS, and CloudFront
- Setting Up a Secure AWS Account with Multi-Account Strategy
- Implementing IAM Best Practices: Roles, Users, Policies, and Least Privilege
- Creating a Production-Ready VPC with Public and Private Subnets
- Configuring Route Tables, Internet Gateways, and NAT Devices
- Managing AWS Cost Allocation Tags and Budgeting Tools
- Introduction to AWS Organizations and SCPs
- Understanding Shared Responsibility Model for Security
- Establishing CloudTrail for API Auditing and Monitoring
- Applying AWS Config for Compliance and Rule-Based Evaluation
- Foundations of Scalability: Vertical vs Horizontal Scaling Principles
- Basics of High Availability: Redundancy and Failover Concepts
- Designing for Disaster Recovery: Backup, Replication, and Restore
- Architectural Decision Frameworks: How to Choose the Right Service
Module 2: Enterprise Scalability Design Patterns - Auto Scaling Groups: Design, Scaling Policies, and Lifecycle Hooks
- Load Balancing Strategies: ALB, NLB, and Gateway Load Balancer
- Distributed Caching with Amazon ElastiCache (Redis and Memcached)
- Content Delivery with CloudFront: Optimization and Security
- Database Scaling: Read Replicas, Sharding, and Aurora Serverless
- Designing Elastic Storage: EBS, EFS, and FSx for Enterprise Workloads
- Event-Driven Scaling Using SQS, SNS, and EventBridge
- Building Resilient Microservices with ECS and EKS
- Multi-AZ and Multi-Region Deployment Patterns
- State Management in Distributed Systems
- Decoupling Services with Message Queues and Pub/Sub
- Performance Benchmarking and Latency Optimization
- Cost-Efficiency in Scalable Systems: Spot Instances and Savings Plans
- Implementing Blue-Green Deployments and Canary Releases
- Monitoring Scaling Events with CloudWatch Alarms and Metrics
Module 3: Advanced Networking and Connectivity - Designing Hybrid Cloud Architectures with AWS Direct Connect
- Site-to-Site VPN Configuration and Best Practices
- Transit Gateway: Centralized Connectivity for Multi-VPC Environments
- PrivateLink: Secure Service Access Without Exposure to the Internet
- DNS Management with Route 53: Failover, Latency, and Geolocation Routing
- Network Security Groups and VPC Security Best Practices
- Firewall Management with AWS Network Firewall
- Inspecting Traffic with VPC Flow Logs and GuardDuty
- Securing Data in Transit: TLS, Certificate Manager, and ACM Integration
- WAF and Shield: Protecting Applications from DDoS and Web Exploits
- Designing for Zero Trust Networking in AWS
- Service Control Policies for Network Access Governance
- Peering Across Accounts and Organizations
- Hybrid DNS Resolution with Route 53 Resolver
- Network Performance Monitoring and Optimization
Module 4: Data Architecture and Storage Engineering - Data Lifecycle Management: S3 Storage Classes and Lifecycle Policies
- Secure Data Encryption: SSE-S3, SSE-KMS, and Client-Side Encryption
- Data Governance with S3 Object Lock and Legal Hold
- Building a Data Lake on S3 with Cataloging and Partitioning
- Database Selection Framework: Relational vs NoSQL vs In-Memory
- Designing for AWS DynamoDB: Partition Keys, GSIs, and LSIs
- DynamoDB Accelerator (DAX) for Microsecond Response Times
- Time Series Data with Timestream
- Graph Data Modeling with Neptune
- S3 Cross-Region Replication and Event Notifications
- Data Warehousing with Redshift: Spectrum, RA3 Nodes, and Concurrency
- Glue Data Catalog and ETL Orchestration
- Athena Query Optimization and Cost Management
- Streaming Data Pipelines with Kinesis Data Streams and Firehose
- Best Practices for Data Backup and Point-in-Time Recovery
Module 5: Infrastructure as Code and CI/CD Automation - Introduction to Infrastructure as Code: Why YAML and JSON Matter
- Using AWS CloudFormation: Templates, Stacks, and Drift Detection
- Deep Dive into Terraform: State Management, Modules, and Providers
- Comparison: CloudFormation vs Terraform for Enterprise Use Cases
- Managing Configuration with AWS Systems Manager
- Automating Deployments with CodePipeline and CodeDeploy
- Source Control Integration with CodeCommit and GitHub
- Secure Pipeline Design: Secrets Management and Role Assumption
- Testing Infrastructure Changes in Staging Environments
- Immutable Infrastructure Patterns and Versioned Artifacts
- Policy as Code with AWS Service Catalog and Config Rules
- CI/CD for Serverless Applications with SAM and CDK
- Automating Compliance Checks in the Pipeline
- Rollback Strategies and Incident Recovery in CI/CD
- Monitoring Deployment Success with Custom Metrics
Module 6: AI Integration and Machine Learning Enablement - Overview of AWS AI and ML Services: SageMaker, Rekognition, Lex, Polly, Transcribe
- Designing AI-Ready Architectures from the Ground Up
- Data Preparation Pipelines for Machine Learning
- Feature Stores and Model Versioning with SageMaker
- Training Pipelines: Distributed Training and Spot Instances
- Model Hosting on SageMaker Endpoints with Auto Scaling
- Real-Time Inference vs Batch Processing Patterns
- Integrating AI into Web Applications via API Gateway and Lambda
- Building Chatbots with Lex and Integrating with Contact Center Solutions
- Image and Video Analysis with Rekognition in Enterprise Systems
- Speech-to-Text and Text-to-Speech Workflows with Transcribe and Polly
- Custom Model Development Using SageMaker Notebooks
- Model Monitoring and Drift Detection
- Secure Access to AI Endpoints with IAM and Cognito
- Cost Optimization for AI Workloads: Instance Selection and Auto Scaling
Module 7: Security, Compliance, and Governance at Scale - Enterprise Security Frameworks: CIS, NIST, ISO 27001 Alignment
- Multi-Account Security Strategy with Control Tower
- Centralized Logging and Monitoring with AWS Security Hub
- Automated Threat Detection Using GuardDuty and Macie
- Key Management with AWS KMS and Customer Managed Keys
- Secrets Management Using AWS Secrets Manager
- Compliance Dashboarding and Audit Reporting
- Regulatory Requirements for GDPR, HIPAA, and SOC 2
- Secure Secret Rotation and Credential Management
- Monitoring for Unauthorized Access and Anomalies
- Implementing Automated Remediation with EventBridge and Lambda
- Security Baselines for EC2, RDS, and S3 Using Config Rules
- Penetration Testing Policies and AWS Approval Processes
- Identity Federation with Azure AD, Okta, and SAML Integration
- Security Operations Center (SOC) Integration with AWS
Module 8: Observability, Monitoring, and Performance Engineering - CloudWatch Metrics, Logs, and Alarms: Advanced Use Cases
- Custom Dashboards for Real-Time System Visibility
- Distributed Tracing with AWS X-Ray
- Log Aggregation and Analysis with CloudWatch Logs Insights
- Setting Up Proactive Alerting Based on SLOs
- Application Performance Monitoring for Microservices
- Monitoring AI Workloads: Latency, Errors, and Throughput
- Cost Monitoring and Optimization Recommendations
- Performance Tuning for EC2, RDS, and Lambda Functions
- Latency Analysis Across VPCs and Regions
- Root Cause Analysis Frameworks for Cloud Outages
- Integrating Third-Party Monitoring Tools (Datadog, New Relic)
- Setting Up Synthetic Monitoring with CloudWatch Canaries
- Health Event Notifications and Incident Response Playbooks
- Creating Operational Excellence Reviews
Module 9: Scalable Serverless and Event-Driven Architectures - Fundamentals of Serverless Computing with AWS Lambda
- Event Sources: API Gateway, S3, SQS, DynamoDB Streams, Kinesis
- Concurrency and Throttling Controls in Lambda
- Provisioned Concurrency for Predictable Performance
- Serverless API Design with API Gateway REST and HTTP APIs
- JWT and OAuth Integration for Secure Serverless Endpoints
- Serverless Data Processing: Step Functions and Event Chaining
- Error Handling and Dead Letter Queues (DLQ) for Reliability
- Cost Analysis of Serverless vs Provisioned Workloads
- Building Full Applications with S3, Lambda, API Gateway, and DynamoDB
- Serverless CI/CD: Automated Testing and Deployment
- Versioning and Aliases for Production Safety
- Environment Isolation: Dev, Test, Prod in Serverless
- Monitoring and Debugging Serverless Applications
- Security Hardening for Lambda Functions and API Endpoints
Module 10: Enterprise AI Architecture Patterns - End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
- Auto Scaling Groups: Design, Scaling Policies, and Lifecycle Hooks
- Load Balancing Strategies: ALB, NLB, and Gateway Load Balancer
- Distributed Caching with Amazon ElastiCache (Redis and Memcached)
- Content Delivery with CloudFront: Optimization and Security
- Database Scaling: Read Replicas, Sharding, and Aurora Serverless
- Designing Elastic Storage: EBS, EFS, and FSx for Enterprise Workloads
- Event-Driven Scaling Using SQS, SNS, and EventBridge
- Building Resilient Microservices with ECS and EKS
- Multi-AZ and Multi-Region Deployment Patterns
- State Management in Distributed Systems
- Decoupling Services with Message Queues and Pub/Sub
- Performance Benchmarking and Latency Optimization
- Cost-Efficiency in Scalable Systems: Spot Instances and Savings Plans
- Implementing Blue-Green Deployments and Canary Releases
- Monitoring Scaling Events with CloudWatch Alarms and Metrics
Module 3: Advanced Networking and Connectivity - Designing Hybrid Cloud Architectures with AWS Direct Connect
- Site-to-Site VPN Configuration and Best Practices
- Transit Gateway: Centralized Connectivity for Multi-VPC Environments
- PrivateLink: Secure Service Access Without Exposure to the Internet
- DNS Management with Route 53: Failover, Latency, and Geolocation Routing
- Network Security Groups and VPC Security Best Practices
- Firewall Management with AWS Network Firewall
- Inspecting Traffic with VPC Flow Logs and GuardDuty
- Securing Data in Transit: TLS, Certificate Manager, and ACM Integration
- WAF and Shield: Protecting Applications from DDoS and Web Exploits
- Designing for Zero Trust Networking in AWS
- Service Control Policies for Network Access Governance
- Peering Across Accounts and Organizations
- Hybrid DNS Resolution with Route 53 Resolver
- Network Performance Monitoring and Optimization
Module 4: Data Architecture and Storage Engineering - Data Lifecycle Management: S3 Storage Classes and Lifecycle Policies
- Secure Data Encryption: SSE-S3, SSE-KMS, and Client-Side Encryption
- Data Governance with S3 Object Lock and Legal Hold
- Building a Data Lake on S3 with Cataloging and Partitioning
- Database Selection Framework: Relational vs NoSQL vs In-Memory
- Designing for AWS DynamoDB: Partition Keys, GSIs, and LSIs
- DynamoDB Accelerator (DAX) for Microsecond Response Times
- Time Series Data with Timestream
- Graph Data Modeling with Neptune
- S3 Cross-Region Replication and Event Notifications
- Data Warehousing with Redshift: Spectrum, RA3 Nodes, and Concurrency
- Glue Data Catalog and ETL Orchestration
- Athena Query Optimization and Cost Management
- Streaming Data Pipelines with Kinesis Data Streams and Firehose
- Best Practices for Data Backup and Point-in-Time Recovery
Module 5: Infrastructure as Code and CI/CD Automation - Introduction to Infrastructure as Code: Why YAML and JSON Matter
- Using AWS CloudFormation: Templates, Stacks, and Drift Detection
- Deep Dive into Terraform: State Management, Modules, and Providers
- Comparison: CloudFormation vs Terraform for Enterprise Use Cases
- Managing Configuration with AWS Systems Manager
- Automating Deployments with CodePipeline and CodeDeploy
- Source Control Integration with CodeCommit and GitHub
- Secure Pipeline Design: Secrets Management and Role Assumption
- Testing Infrastructure Changes in Staging Environments
- Immutable Infrastructure Patterns and Versioned Artifacts
- Policy as Code with AWS Service Catalog and Config Rules
- CI/CD for Serverless Applications with SAM and CDK
- Automating Compliance Checks in the Pipeline
- Rollback Strategies and Incident Recovery in CI/CD
- Monitoring Deployment Success with Custom Metrics
Module 6: AI Integration and Machine Learning Enablement - Overview of AWS AI and ML Services: SageMaker, Rekognition, Lex, Polly, Transcribe
- Designing AI-Ready Architectures from the Ground Up
- Data Preparation Pipelines for Machine Learning
- Feature Stores and Model Versioning with SageMaker
- Training Pipelines: Distributed Training and Spot Instances
- Model Hosting on SageMaker Endpoints with Auto Scaling
- Real-Time Inference vs Batch Processing Patterns
- Integrating AI into Web Applications via API Gateway and Lambda
- Building Chatbots with Lex and Integrating with Contact Center Solutions
- Image and Video Analysis with Rekognition in Enterprise Systems
- Speech-to-Text and Text-to-Speech Workflows with Transcribe and Polly
- Custom Model Development Using SageMaker Notebooks
- Model Monitoring and Drift Detection
- Secure Access to AI Endpoints with IAM and Cognito
- Cost Optimization for AI Workloads: Instance Selection and Auto Scaling
Module 7: Security, Compliance, and Governance at Scale - Enterprise Security Frameworks: CIS, NIST, ISO 27001 Alignment
- Multi-Account Security Strategy with Control Tower
- Centralized Logging and Monitoring with AWS Security Hub
- Automated Threat Detection Using GuardDuty and Macie
- Key Management with AWS KMS and Customer Managed Keys
- Secrets Management Using AWS Secrets Manager
- Compliance Dashboarding and Audit Reporting
- Regulatory Requirements for GDPR, HIPAA, and SOC 2
- Secure Secret Rotation and Credential Management
- Monitoring for Unauthorized Access and Anomalies
- Implementing Automated Remediation with EventBridge and Lambda
- Security Baselines for EC2, RDS, and S3 Using Config Rules
- Penetration Testing Policies and AWS Approval Processes
- Identity Federation with Azure AD, Okta, and SAML Integration
- Security Operations Center (SOC) Integration with AWS
Module 8: Observability, Monitoring, and Performance Engineering - CloudWatch Metrics, Logs, and Alarms: Advanced Use Cases
- Custom Dashboards for Real-Time System Visibility
- Distributed Tracing with AWS X-Ray
- Log Aggregation and Analysis with CloudWatch Logs Insights
- Setting Up Proactive Alerting Based on SLOs
- Application Performance Monitoring for Microservices
- Monitoring AI Workloads: Latency, Errors, and Throughput
- Cost Monitoring and Optimization Recommendations
- Performance Tuning for EC2, RDS, and Lambda Functions
- Latency Analysis Across VPCs and Regions
- Root Cause Analysis Frameworks for Cloud Outages
- Integrating Third-Party Monitoring Tools (Datadog, New Relic)
- Setting Up Synthetic Monitoring with CloudWatch Canaries
- Health Event Notifications and Incident Response Playbooks
- Creating Operational Excellence Reviews
Module 9: Scalable Serverless and Event-Driven Architectures - Fundamentals of Serverless Computing with AWS Lambda
- Event Sources: API Gateway, S3, SQS, DynamoDB Streams, Kinesis
- Concurrency and Throttling Controls in Lambda
- Provisioned Concurrency for Predictable Performance
- Serverless API Design with API Gateway REST and HTTP APIs
- JWT and OAuth Integration for Secure Serverless Endpoints
- Serverless Data Processing: Step Functions and Event Chaining
- Error Handling and Dead Letter Queues (DLQ) for Reliability
- Cost Analysis of Serverless vs Provisioned Workloads
- Building Full Applications with S3, Lambda, API Gateway, and DynamoDB
- Serverless CI/CD: Automated Testing and Deployment
- Versioning and Aliases for Production Safety
- Environment Isolation: Dev, Test, Prod in Serverless
- Monitoring and Debugging Serverless Applications
- Security Hardening for Lambda Functions and API Endpoints
Module 10: Enterprise AI Architecture Patterns - End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
- Data Lifecycle Management: S3 Storage Classes and Lifecycle Policies
- Secure Data Encryption: SSE-S3, SSE-KMS, and Client-Side Encryption
- Data Governance with S3 Object Lock and Legal Hold
- Building a Data Lake on S3 with Cataloging and Partitioning
- Database Selection Framework: Relational vs NoSQL vs In-Memory
- Designing for AWS DynamoDB: Partition Keys, GSIs, and LSIs
- DynamoDB Accelerator (DAX) for Microsecond Response Times
- Time Series Data with Timestream
- Graph Data Modeling with Neptune
- S3 Cross-Region Replication and Event Notifications
- Data Warehousing with Redshift: Spectrum, RA3 Nodes, and Concurrency
- Glue Data Catalog and ETL Orchestration
- Athena Query Optimization and Cost Management
- Streaming Data Pipelines with Kinesis Data Streams and Firehose
- Best Practices for Data Backup and Point-in-Time Recovery
Module 5: Infrastructure as Code and CI/CD Automation - Introduction to Infrastructure as Code: Why YAML and JSON Matter
- Using AWS CloudFormation: Templates, Stacks, and Drift Detection
- Deep Dive into Terraform: State Management, Modules, and Providers
- Comparison: CloudFormation vs Terraform for Enterprise Use Cases
- Managing Configuration with AWS Systems Manager
- Automating Deployments with CodePipeline and CodeDeploy
- Source Control Integration with CodeCommit and GitHub
- Secure Pipeline Design: Secrets Management and Role Assumption
- Testing Infrastructure Changes in Staging Environments
- Immutable Infrastructure Patterns and Versioned Artifacts
- Policy as Code with AWS Service Catalog and Config Rules
- CI/CD for Serverless Applications with SAM and CDK
- Automating Compliance Checks in the Pipeline
- Rollback Strategies and Incident Recovery in CI/CD
- Monitoring Deployment Success with Custom Metrics
Module 6: AI Integration and Machine Learning Enablement - Overview of AWS AI and ML Services: SageMaker, Rekognition, Lex, Polly, Transcribe
- Designing AI-Ready Architectures from the Ground Up
- Data Preparation Pipelines for Machine Learning
- Feature Stores and Model Versioning with SageMaker
- Training Pipelines: Distributed Training and Spot Instances
- Model Hosting on SageMaker Endpoints with Auto Scaling
- Real-Time Inference vs Batch Processing Patterns
- Integrating AI into Web Applications via API Gateway and Lambda
- Building Chatbots with Lex and Integrating with Contact Center Solutions
- Image and Video Analysis with Rekognition in Enterprise Systems
- Speech-to-Text and Text-to-Speech Workflows with Transcribe and Polly
- Custom Model Development Using SageMaker Notebooks
- Model Monitoring and Drift Detection
- Secure Access to AI Endpoints with IAM and Cognito
- Cost Optimization for AI Workloads: Instance Selection and Auto Scaling
Module 7: Security, Compliance, and Governance at Scale - Enterprise Security Frameworks: CIS, NIST, ISO 27001 Alignment
- Multi-Account Security Strategy with Control Tower
- Centralized Logging and Monitoring with AWS Security Hub
- Automated Threat Detection Using GuardDuty and Macie
- Key Management with AWS KMS and Customer Managed Keys
- Secrets Management Using AWS Secrets Manager
- Compliance Dashboarding and Audit Reporting
- Regulatory Requirements for GDPR, HIPAA, and SOC 2
- Secure Secret Rotation and Credential Management
- Monitoring for Unauthorized Access and Anomalies
- Implementing Automated Remediation with EventBridge and Lambda
- Security Baselines for EC2, RDS, and S3 Using Config Rules
- Penetration Testing Policies and AWS Approval Processes
- Identity Federation with Azure AD, Okta, and SAML Integration
- Security Operations Center (SOC) Integration with AWS
Module 8: Observability, Monitoring, and Performance Engineering - CloudWatch Metrics, Logs, and Alarms: Advanced Use Cases
- Custom Dashboards for Real-Time System Visibility
- Distributed Tracing with AWS X-Ray
- Log Aggregation and Analysis with CloudWatch Logs Insights
- Setting Up Proactive Alerting Based on SLOs
- Application Performance Monitoring for Microservices
- Monitoring AI Workloads: Latency, Errors, and Throughput
- Cost Monitoring and Optimization Recommendations
- Performance Tuning for EC2, RDS, and Lambda Functions
- Latency Analysis Across VPCs and Regions
- Root Cause Analysis Frameworks for Cloud Outages
- Integrating Third-Party Monitoring Tools (Datadog, New Relic)
- Setting Up Synthetic Monitoring with CloudWatch Canaries
- Health Event Notifications and Incident Response Playbooks
- Creating Operational Excellence Reviews
Module 9: Scalable Serverless and Event-Driven Architectures - Fundamentals of Serverless Computing with AWS Lambda
- Event Sources: API Gateway, S3, SQS, DynamoDB Streams, Kinesis
- Concurrency and Throttling Controls in Lambda
- Provisioned Concurrency for Predictable Performance
- Serverless API Design with API Gateway REST and HTTP APIs
- JWT and OAuth Integration for Secure Serverless Endpoints
- Serverless Data Processing: Step Functions and Event Chaining
- Error Handling and Dead Letter Queues (DLQ) for Reliability
- Cost Analysis of Serverless vs Provisioned Workloads
- Building Full Applications with S3, Lambda, API Gateway, and DynamoDB
- Serverless CI/CD: Automated Testing and Deployment
- Versioning and Aliases for Production Safety
- Environment Isolation: Dev, Test, Prod in Serverless
- Monitoring and Debugging Serverless Applications
- Security Hardening for Lambda Functions and API Endpoints
Module 10: Enterprise AI Architecture Patterns - End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
- Overview of AWS AI and ML Services: SageMaker, Rekognition, Lex, Polly, Transcribe
- Designing AI-Ready Architectures from the Ground Up
- Data Preparation Pipelines for Machine Learning
- Feature Stores and Model Versioning with SageMaker
- Training Pipelines: Distributed Training and Spot Instances
- Model Hosting on SageMaker Endpoints with Auto Scaling
- Real-Time Inference vs Batch Processing Patterns
- Integrating AI into Web Applications via API Gateway and Lambda
- Building Chatbots with Lex and Integrating with Contact Center Solutions
- Image and Video Analysis with Rekognition in Enterprise Systems
- Speech-to-Text and Text-to-Speech Workflows with Transcribe and Polly
- Custom Model Development Using SageMaker Notebooks
- Model Monitoring and Drift Detection
- Secure Access to AI Endpoints with IAM and Cognito
- Cost Optimization for AI Workloads: Instance Selection and Auto Scaling
Module 7: Security, Compliance, and Governance at Scale - Enterprise Security Frameworks: CIS, NIST, ISO 27001 Alignment
- Multi-Account Security Strategy with Control Tower
- Centralized Logging and Monitoring with AWS Security Hub
- Automated Threat Detection Using GuardDuty and Macie
- Key Management with AWS KMS and Customer Managed Keys
- Secrets Management Using AWS Secrets Manager
- Compliance Dashboarding and Audit Reporting
- Regulatory Requirements for GDPR, HIPAA, and SOC 2
- Secure Secret Rotation and Credential Management
- Monitoring for Unauthorized Access and Anomalies
- Implementing Automated Remediation with EventBridge and Lambda
- Security Baselines for EC2, RDS, and S3 Using Config Rules
- Penetration Testing Policies and AWS Approval Processes
- Identity Federation with Azure AD, Okta, and SAML Integration
- Security Operations Center (SOC) Integration with AWS
Module 8: Observability, Monitoring, and Performance Engineering - CloudWatch Metrics, Logs, and Alarms: Advanced Use Cases
- Custom Dashboards for Real-Time System Visibility
- Distributed Tracing with AWS X-Ray
- Log Aggregation and Analysis with CloudWatch Logs Insights
- Setting Up Proactive Alerting Based on SLOs
- Application Performance Monitoring for Microservices
- Monitoring AI Workloads: Latency, Errors, and Throughput
- Cost Monitoring and Optimization Recommendations
- Performance Tuning for EC2, RDS, and Lambda Functions
- Latency Analysis Across VPCs and Regions
- Root Cause Analysis Frameworks for Cloud Outages
- Integrating Third-Party Monitoring Tools (Datadog, New Relic)
- Setting Up Synthetic Monitoring with CloudWatch Canaries
- Health Event Notifications and Incident Response Playbooks
- Creating Operational Excellence Reviews
Module 9: Scalable Serverless and Event-Driven Architectures - Fundamentals of Serverless Computing with AWS Lambda
- Event Sources: API Gateway, S3, SQS, DynamoDB Streams, Kinesis
- Concurrency and Throttling Controls in Lambda
- Provisioned Concurrency for Predictable Performance
- Serverless API Design with API Gateway REST and HTTP APIs
- JWT and OAuth Integration for Secure Serverless Endpoints
- Serverless Data Processing: Step Functions and Event Chaining
- Error Handling and Dead Letter Queues (DLQ) for Reliability
- Cost Analysis of Serverless vs Provisioned Workloads
- Building Full Applications with S3, Lambda, API Gateway, and DynamoDB
- Serverless CI/CD: Automated Testing and Deployment
- Versioning and Aliases for Production Safety
- Environment Isolation: Dev, Test, Prod in Serverless
- Monitoring and Debugging Serverless Applications
- Security Hardening for Lambda Functions and API Endpoints
Module 10: Enterprise AI Architecture Patterns - End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
- CloudWatch Metrics, Logs, and Alarms: Advanced Use Cases
- Custom Dashboards for Real-Time System Visibility
- Distributed Tracing with AWS X-Ray
- Log Aggregation and Analysis with CloudWatch Logs Insights
- Setting Up Proactive Alerting Based on SLOs
- Application Performance Monitoring for Microservices
- Monitoring AI Workloads: Latency, Errors, and Throughput
- Cost Monitoring and Optimization Recommendations
- Performance Tuning for EC2, RDS, and Lambda Functions
- Latency Analysis Across VPCs and Regions
- Root Cause Analysis Frameworks for Cloud Outages
- Integrating Third-Party Monitoring Tools (Datadog, New Relic)
- Setting Up Synthetic Monitoring with CloudWatch Canaries
- Health Event Notifications and Incident Response Playbooks
- Creating Operational Excellence Reviews
Module 9: Scalable Serverless and Event-Driven Architectures - Fundamentals of Serverless Computing with AWS Lambda
- Event Sources: API Gateway, S3, SQS, DynamoDB Streams, Kinesis
- Concurrency and Throttling Controls in Lambda
- Provisioned Concurrency for Predictable Performance
- Serverless API Design with API Gateway REST and HTTP APIs
- JWT and OAuth Integration for Secure Serverless Endpoints
- Serverless Data Processing: Step Functions and Event Chaining
- Error Handling and Dead Letter Queues (DLQ) for Reliability
- Cost Analysis of Serverless vs Provisioned Workloads
- Building Full Applications with S3, Lambda, API Gateway, and DynamoDB
- Serverless CI/CD: Automated Testing and Deployment
- Versioning and Aliases for Production Safety
- Environment Isolation: Dev, Test, Prod in Serverless
- Monitoring and Debugging Serverless Applications
- Security Hardening for Lambda Functions and API Endpoints
Module 10: Enterprise AI Architecture Patterns - End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
- End-to-End AI Pipeline: From Data Ingestion to Model Deployment
- Batch Inference Workflows with SageMaker Processing Jobs
- Real-Time Recommendation Engines Using DynamoDB and Lambda
- AI-Augmented Search Systems with OpenSearch and ML Integration
- Automated Document Processing with Textract and Step Functions
- Sentiment Analysis Pipelines for Customer Feedback
- Time Series Forecasting with SageMaker and GluonTS
- Custom Model Containerization with SageMaker and Docker
- Multi-Tenant AI Architectures with Isolated Endpoints
- Edge AI with AWS IoT Greengrass and SageMaker Edge Manager
- Model Explainability and Fairness Reports
- AI Governance: Tracking Models, Owners, and Approvals
- Secure Model Deployment: VPC Isolation and Private Endpoints
- Scaling AI Services Across Global Regions
- Cost-Aware AI: Monitoring and Controlling Inference Expenses
Module 11: Real-World Implementation Projects - Project 1: Design a Scalable E-Commerce Platform with Microservices
- Project 2: Build a Secure Hybrid Cloud for a Financial Institution
- Project 3: Create a Serverless API with CI/CD and Monitoring
- Project 4: Deploy a Machine Learning Model for Fraud Detection
- Project 5: Architect a Multi-Region SaaS Platform with DR
- Project 6: Optimize an Existing Workload for Cost and Performance
- Project 7: Implement Full Observability for a Distributed System
- Project 8: Automate Compliance Across 10 AWS Accounts
- Project 9: Design an AI-Powered Customer Support Chatbot
- Project 10: Build a Data Lake for Analytics with Governance Controls
Module 12: Certification Preparation and Career Advancement - Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts
- Mapping Course Content to AWS Certification Exams (Solutions Architect Pro, DevOps Engineer)
- How to Position This Course on Your Resume and LinkedIn
- Demonstrating Cloud ROI to Hiring Managers and Executives
- Preparing for Technical Interviews: Architecture Whiteboarding Scenarios
- Explaining AI Integration Experience in Real Projects
- Building a Professional Cloud Portfolio
- Leveraging the Certificate of Completion for Promotions and Salaries
- Joining The Art of Service Alumni Network for Ongoing Support
- Accessing Job Board Partnerships and Career Coaching Resources
- Next Steps: Advanced Specializations in Cloud Security, Data, or AI
- Continued Learning Pathways with Future-Proof Skills
- Staying Ahead with Regular Content Updates
- Tracking Your Progress with Built-In Milestones and Badges
- Engaging with Gamified Learning Challenges
- Receiving Feedback and Recognition from Industry Experts