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Taking AI to Production

Start session 1 →9 sessions · self-paced · Intermediate
Free · no sign-inIntermediateCareer switch

Nine sessions on running AI systems for real: where models run, reference architectures, scaling, cost, observability and audit, ending in a design you defend with decision records.

Read every session in order. Each one ends with a small project you build and run yourself. It builds on Building AI Agents; take that first if you have not.

Part of the guided programs Forward-Deployed Engineer and Cloud/AI Solutions Architect.

  1. 1. AI Workload Shapes and Where They Run
  2. 2. Reference Architectures for Retrieval and Agentic Systems
  3. 3. Scaling and Resilience for Inference
  4. 4. Cost Architecture
  5. 5. From Prototype to Production
  6. 6. Observability for AI Systems
  7. 7. Auditability
  8. 8. Capstone: Design an End-to-End AI System
  9. 9. Decision Records and Defending a Design

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