Courses

AWS in Action: AI edition

Ten chapters that build a company IT helpdesk assistant on AWS: a hosted model behind an API, a chat page, answers from a knowledge base with the policy page cited, tickets through tool use, a triage agent, sign-in and guardrails, a GitHub Actions pipeline to staging and prod, and running it.

Read the chapters in order. Each one is a set of notes with a build you run in your own AWS account and then delete, so you need an AWS account, a budget alert and basic Python.

Part of the mentor-led program Cloud/AI Solutions Architect.

1. 1. Meet the LLM: what it is, what it does well, where it fails
2. 2. The helpdesk's first answer: a hosted model behind an API
3. 3. Employee chat page: private S3 + CloudFront + HTTPS, whole replies
4. 4. Answers from the IT knowledge base (RAG), with the policy page cited
5. 5. Tickets through tool use
6. 6. Triage agent: outage check, try the fix, escalate to an IT queue
7. 7. Sign-in and safety: roles, masking of pasted secrets, off-topic blocking
8. 8. Ship like a team: GitHub Actions to staging to prod
9. 9. Run it: logs, cost per ticket, alarm, quality check, teardown
10. 10. Your roadmap: learn it, explain it, get hired

Want someone to review your work as you build? Work with a mentor.

TechEazy Consulting training material — not affiliated with or endorsed by Amazon Web Services (AWS), Amazon Bedrock or any other company named in this course.