Beginner to Hero: Agentic AI on AWS: full course guide
Take an agent to production on AWS: identity and least privilege, managed knowledge bases, orchestration choices, contract testing against cloud services, evaluation in the pipeline, and infrastructure as code with cost controls and a runbook.
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What is inside this guide
01Getting Set Up on AWS
- The Managed Pieces and What They Replace
- Accounts, Identity and Least Privilege for an Agent
- Model Access, Regions and Quotas
- Local Development Against Cloud Services
- Your First Agent Running on AWS, End to End
02The Development Framework
- Tools as Functions: Contracts, Timeouts and Retries
- Knowledge Bases, Vector Stores and Data Sync
- Orchestration Choices: Serverless, Step Functions or a Long-Lived Worker
- Session State, Memory and Storage
- Networking, Private Endpoints and Data Boundaries
03The Testing Framework
- Testing Cloud Code Without Deploying Every Time
- Contract Tests Against Managed Services
- Recorded Trajectories and Deterministic Replay
- Load, Concurrency and Throttling Behaviour
- Testing Permissions and the Deny Path
04The Evaluation Framework
- Wiring Evaluation Into the Build Pipeline
- Retrieval Quality for a Managed Knowledge Base
- Task Success and Cost per Task on Cloud Pricing
- Human Review Queues and Label Storage
- Comparing Two Configurations Without Fooling Yourself
05The Deployment Framework
- Infrastructure as Code for the Whole Agent
- Environments, Promotion and Configuration Drift
- Observability: Traces, Metrics, Logs and Redaction
- Cost Controls, Alarms and Runaway Protection
- Release, Rollback and the On-Call Runbook
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