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AWS Certified Solutions Architect Certification Path

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AWS Certified Solutions Architect Certification Path

You're a skilled professional, but the cloud is evolving faster than ever, and the pressure to prove your expertise is relentless. Recruiters scan for certifications. Hiring managers demand clarity, confidence, and real-world design ability. Without AWS Certified Solutions Architect, your resume gets filtered out before your experience even registers.

You don’t just want a badge. You want visibility. Career momentum. The kind of credibility that opens doors to six-figure roles, architecture leads, and cloud transformation initiatives. But studying alone? It’s a maze of outdated guides, fragmented documentation, and exam objectives that feel disconnected from real projects.

The AWS Certified Solutions Architect Certification Path is not another theory dump. It’s the engineered route from confusion to command. This program delivers a certified, board-ready architect profile in as little as 45 days, complete with a deep mastery of AWS best practices, cost-optimised design patterns, and security-first architectures that enterprises trust.

Take Sarah K., a systems engineer from Atlanta. After enrolling, she completed the full certification path in six weeks. She submitted her Certificate of Completion from The Art of Service with her internal transfer application-and moved into an enterprise cloud architect role with a 37% salary increase. No videos, no filler. Just focused, outcome-driven execution.

This is how you go from being overlooked to being relied on. From wondering if you’re ready to walking into your next role with a verifiable, globally recognised credential.

Here’s how this course is structured to help you get there.



Course Format & Delivery Details

Self-Paced, On-Demand, and Built for Real Careers

The AWS Certified Solutions Architect Certification Path is fully self-paced with immediate online access. You begin the moment you’re ready-no fixed start dates, no arbitrary time commitments. Most learners complete the program in 6 to 8 weeks while working full time, with many achieving exam readiness in under 30 days through focused study.

You receive lifetime access to all course materials, including every framework, design template, and assessment. Even as AWS evolves, you’ll get ongoing updates-at no extra cost-ensuring your knowledge remains sharp, current, and aligned with the latest exam blueprints and enterprise expectations.

Access is available 24/7 from any device. Whether you’re on a laptop, tablet, or mobile phone, the experience is seamless and optimised for deep engagement. This is learning you control-on your schedule, in your workspace, at your pace.

Expert Guidance, Not Guesswork

Every concept in the curriculum is validated by AWS-certified architects with over a decade of delivery experience. You’re not studying alone. You receive direct access to instructor-curated guidance, practical clarification, and architecture feedback through our structured support pathways. This isn’t passive consumption-it’s deliberate, supported mastery.

Upon completion, you’ll earn a Certificate of Completion issued by The Art of Service, a globally trusted credential recognised by IT leaders, hiring managers, and certification bodies. This isn’t a participation trophy. It’s documented proof of your ability to design scalable, secure, and cost-effective systems on AWS.

No Risk. No Hidden Fees. Full Confidence.

The pricing is straightforward with no hidden fees or surprise charges. What you see is what you get-lifetime access, continuous updates, and full support. We accept all major payment methods including Visa, Mastercard, and PayPal.

We stand behind the results with a 30-day money-back guarantee. If you complete the core modules and follow the study roadmap and don’t feel significantly more confident and prepared, you’re fully refunded. No questions asked. Your success is our standard.

After enrollment, you’ll receive a confirmation email, followed by your secure access details once your course materials are prepared. Everything is delivered digitally, with no shipping or wait for physical materials.

“Will This Work For Me?” - We’ve Designed This For You.

You might be thinking: *I’ve tried other prep courses. I didn’t finish. I got lost. I failed the exam.*

This is different. The AWS Certified Solutions Architect Certification Path works even if you’re not a native English speaker, even if you’ve failed the exam before, even if you’ve never led a cloud migration. The structure isolates your weakest areas, delivers targeted reinforcement, and builds competence through pattern recognition and design logic-not memorisation.

Over 17,000 professionals have used this pathway to gain certification and move into higher-impact roles. From DevOps engineers to infrastructure leads, our learners consistently report passing the AWS exam on their first attempt after completing this program.

You’re not buying content. You’re buying a system proven to deliver certification, credibility, and career leverage. Every element reduces risk, increases confidence, and drives measurable advancement-backed by the strongest promise in the industry.



Module 1: Foundations of AWS Cloud Architecture

  • Introduction to AWS Global Infrastructure and Region-AZ design
  • Core AWS services: EC2, S3, RDS, Lambda, and IAM
  • Understanding virtual private clouds and VPC components
  • Setting up your first secure AWS environment
  • Exploring AWS pricing models and cost drivers
  • Using AWS Free Tier effectively for learning and testing
  • Navigating AWS Management Console and CLI basics
  • Understanding shared responsibility model and security boundaries
  • Comparing on-premises vs cloud architecture trade-offs
  • Defining architect roles and responsibilities in AWS projects


Module 2: Core Design Principles and Best Practices

  • Implementing the Well-Architected Framework: pillars and use
  • Designing for reliability and fault tolerance
  • Structuring cost-optimised architectures from day one
  • Building secure by design into every solution
  • Ensuring performance efficiency across services
  • Planning for operational excellence and monitoring
  • Applying the AWS prescriptive guidance methodology
  • Creating reusable architecture decision records (ADRs)
  • Using AWS best practice checklists for audits
  • Aligning architectural choices with business KPIs


Module 3: Identity, Access, and Security Deep Dive

  • Designing granular IAM roles, policies, and permissions
  • Implementing least privilege access at scale
  • Using IAM roles for cross-account access
  • Securing service accounts with temporary credentials
  • Configuring multi-factor authentication (MFA) enforcement
  • Creating SSO integration with AWS and external IdPs
  • Analysing IAM Access Analyzer findings
  • Managing secrets securely with AWS Systems Manager Parameter Store
  • Leveraging AWS Secrets Manager for dynamic credential rotation
  • Building trust policies for service-to-service communication
  • Monitoring privileged account activity with AWS CloudTrail
  • Setting up Amazon GuardDuty for threat detection
  • Using AWS Security Hub for centralised compliance monitoring
  • Enforcing encryption in transit and at rest with KMS
  • Architecting with AWS Certificate Manager for TLS


Module 4: Virtual Networking and Connectivity

  • Designing VPCs with public, private, and isolated subnets
  • Configuring route tables and internet gateways
  • Implementing NAT gateways and NAT instances
  • Building VPC peering connections across regions
  • Using AWS Transit Gateway for hub-and-spoke topologies
  • Setting up Site-to-Site VPN for hybrid cloud
  • Architecting with AWS Direct Connect for low-latency
  • Implementing private connectivity via VPC endpoints
  • Configuring Gateway and Interface Endpoints
  • Using AWS PrivateLink for service exposure
  • Monitoring network performance with VPC Flow Logs
  • Analysing network paths with Reachability Analyzer
  • Designing resilient multi-VPC architectures
  • Managing DNS with Amazon Route 53
  • Routing strategies: latency-based, failover, and geolocation
  • Deploying private hosted zones for internal resolution


Module 5: Compute and Scalability Strategies

  • Selecting EC2 instance types by workload profile
  • Using Amazon Machine Images (AMIs) for consistency
  • Implementing EC2 Auto Scaling groups
  • Designing launch configurations and templates
  • Configuring scaling policies: dynamic, scheduled, predictive
  • Using Elastic Load Balancing (Application and Network)
  • Architecting with Spot Instances for cost savings
  • Managing Reserved Instances and Savings Plans
  • Integrating AWS Compute Optimizer recommendations
  • Building serverless workflows with AWS Lambda
  • Configuring Lambda concurrency and scaling limits
  • Using Lambda with event sources (S3, DynamoDB, SQS)
  • Designing resilient containerised applications
  • Deploying with Amazon ECS and Fargate
  • Orchestrating clusters with Amazon EKS
  • Choosing compute: EC2 vs Lambda vs ECS vs EKS


Module 6: Data Storage and Management Systems

  • Selecting AWS storage types: S3, EBS, EFS, Instance Store
  • Understanding S3 storage classes and lifecycle policies
  • Configuring S3 versioning, MFA delete, and replication
  • Architecting with S3 Access Points and Access Grants
  • Securing S3 buckets with policies and Block Public Access
  • Using S3 Object Lambda for on-demand transformations
  • Designing for durability and availability in storage
  • Choosing database types: RDS, DynamoDB, Redshift, DocumentDB
  • Planning RDS multi-AZ and Read Replica deployments
  • Automating RDS backups and point-in-time recovery
  • Managing database scaling: vertical and horizontal
  • Designing serverless database backends with DynamoDB
  • Implementing DynamoDB global tables for replication
  • Configuring DynamoDB auto scaling and on-demand
  • Using Amazon ElastiCache for caching workloads
  • Planning for database migration with AWS DMS
  • Architecting hybrid storage with AWS Storage Gateway


Module 7: Application Integration and Messaging

  • Using Amazon SQS for decoupled communication
  • Choosing standard vs FIFO queues
  • Handling message visibility and retries
  • Using dead-letter queues for error isolation
  • Implementing Amazon SNS for fan-out notifications
  • Filtering SNS messages by attribute
  • Integrating SNS with email, Lambda, SQS, HTTP
  • Building workflow orchestration with AWS Step Functions
  • Designing state machines for error handling and retry
  • Implementing event-driven architectures with EventBridge
  • Creating custom event buses and rules
  • Using event patterns for routing to targets
  • Building integration patterns: fan-out, fan-in, pub-sub
  • Monitoring message throughput with CloudWatch
  • Evaluating message latency and failure rates
  • Securing messaging with encryption and IAM


Module 8: Monitoring, Logging, and Observability

  • Setting up Amazon CloudWatch for metrics and alarms
  • Creating custom metrics and dashboards
  • Using CloudWatch Logs and Log Groups
  • Configuring log retention and export to S3
  • Analysing logs with CloudWatch Logs Insights
  • Using AWS X-Ray for distributed tracing
  • Interpreting service maps and latency breakdowns
  • Instrumenting applications for tracing
  • Analysing performance bottlenecks across services
  • Setting up anomaly detection with CloudWatch
  • Using AWS Config for compliance tracking
  • Creating custom rules with AWS Config
  • Tracking configuration changes over time
  • Leveraging AWS Systems Manager for operational control
  • Running remote commands with SSM Run Command
  • Managing patches and software compliance


Module 9: High Availability and Disaster Recovery

  • Defining RTO and RPO for critical workloads
  • Designing multi-AZ and multi-region architectures
  • Implementing active-passive and active-active setups
  • Using Route 53 failover routing for DR
  • Backing up data with AWS Backup
  • Creating backup plans and lifecycle policies
  • Restoring from snapshots and recovery points
  • Testing DR plans with automated workflows
  • Designing self-healing systems with Auto Scaling
  • Using health checks and custom metrics for detection
  • Architecting with Amazon CloudFront for global reach
  • Implementing origin failover in CloudFront
  • Using Route 53 health checks for endpoint monitoring
  • Automating failover with Lambda and EventBridge
  • Designing for graceful degradation
  • Validating DR plans with table-top exercises


Module 10: Cost Management and Optimisation

  • Using AWS Cost Explorer for trend analysis
  • Understanding billing reports and cost allocation tags
  • Setting up AWS Budgets and alerting
  • Identifying idle and underutilised resources
  • Right-sizing EC2 instances based on CloudWatch
  • Using Trusted Advisor for cost recommendations
  • Leveraging Compute Optimizer for performance
  • Managing Reserved Instance and Savings Plans
  • Purchasing flexibility with convertible RIs
  • Using AWS Cost and Usage Reports (CUR)
  • Analysing costs with Amazon Athena queries
  • Implementing tagging strategies for accountability
  • Enforcing tagging policies with AWS Config
  • Using cost allocation by department, project, or team
  • Designing cost-aware architectures from inception
  • Implementing serverless to reduce idle costs


Module 11: Security and Compliance Architecture

  • Implementing infrastructure as code with AWS CloudFormation
  • Designing reusable templates with parameters and outputs
  • Using nested stacks for modularity
  • Leveraging AWS SAM for serverless deployments
  • Versioning templates with AWS CodeCommit
  • Deploying securely with stack policies
  • Using AWS Control Tower for multi-account governance
  • Configuring landing zones with predefined policies
  • Managing SCPs (Service Control Policies) effectively
  • Enforcing guardrails across OUs in AWS Organizations
  • Implementing tag policies and backup policies
  • Automating account provisioning with AWS SSO
  • Using AWS Audit Manager for compliance evidence
  • Generating reports for SOC 2, ISO, HIPAA, PCI DSS
  • Integrating third-party tools via APIs
  • Designing with compliance in mind: data residency, encryption


Module 12: Advanced Design Patterns and Real-World Scenarios

  • Architecting a three-tier web application (web, app, DB)
  • Securing APIs with Amazon API Gateway
  • Implementing throttling, caching, and authentication
  • Using Lambda authorisers for fine-grained access
  • Building microservices with ECS and service discovery
  • Integrating CI/CD with AWS CodePipeline
  • Deploying with blue/green or canary strategies
  • Handling stateful services in distributed environments
  • Designing for big data ingestion with Kinesis
  • Streaming data to S3, Redshift, or Firehose
  • Processing streams with Kinesis Data Analytics
  • Architecting serverless data lakes with S3 and Athena
  • Using Lake Formation for permissions and governance
  • Building machine learning pipelines with SageMaker
  • Deploying models with endpoint scaling
  • Integrating real-time analytics with OpenSearch


Module 13: Migration Strategies and Modernisation

  • Assessing on-premises workloads with AWS MGN
  • Planning lift-and-shift migrations with MGN
  • Using AWS Application Discovery Service
  • Estimating TCO with AWS TCO Calculator
  • Choosing migration waves and criticality levels
  • Executing rehosting, refactor, rearchitect, replace
  • Using AWS DMS for database migration
  • Migrating files with AWS DataSync
  • Planning network bandwidth and cutover timing
  • Post-migration validation and optimisation
  • Adopting cloud-native patterns post-migration
  • Running workshops: AWS Well-Architected Reviews
  • Presenting findings and improvement plans
  • Getting stakeholder buy-in for changes
  • Documenting architecture decisions and trade-offs


Module 14: Exam Blueprint Mastery and Practice

  • Breaking down the AWS Certified Solutions Architect exam guide
  • Mapping all objectives to practical modules
  • Understanding question formats: scenario-based, multi-select
  • Analysing distractor answers and common traps
  • Practicing with high-fidelity scenario simulations
  • Applying the process of elimination systematically
  • Managing time during the exam
  • Reviewing domain weightings: design, deployment, security
  • Mastering high-impact topics: VPC, IAM, EC2, S3
  • Strengthening weak areas with targeted drills
  • Using the architecture decision framework under pressure
  • Practicing cost-optimisation decision questions
  • Simulating multi-region and hybrid designs
  • Reviewing secure design patterns at scale
  • Taking timed mock exams with performance feedback
  • Tracking progress with detailed score reports


Module 15: Certification, Career Expansion, and Next Steps

  • Registering for the AWS exam: steps and requirements
  • Scheduling with Pearson VUE or PSI online
  • Preparing for online proctoring rules
  • Final checklist before exam day
  • Post-exam: verifying certification and digital badge
  • Adding your AWS certification to LinkedIn
  • Leveraging your Certificate of Completion from The Art of Service
  • Building a portfolio of architecture diagrams and use cases
  • Creating case studies from course projects
  • Applying for cloud architect roles with confidence
  • Negotiating salary based on certified expertise
  • Advancing to AWS Professional and Specialty exams
  • Joining AWS communities and user groups
  • Accessing exclusive alumni resources and web forums
  • Staying updated with AWS re:Invent highlights
  • Planning continuous learning with new services