Courses

Getting Started with AI

Start session 1 →8 sessions · self-paced · Beginner
Free · no sign-inBeginnerFresherCareer switch

Eight sessions on how language models really behave: tokens and sampling, cost and latency, prompts and context, structured output, choosing a provider, and using AI responsibly.

Read every session in order. Each one ends with a small project you build and run yourself. You need to read and run a short Python script; no machine-learning background is assumed.

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

  1. 1. What a Language Model Actually Computes
  2. 2. Cost and Latency as Design Constraints
  3. 3. Prompting as an Interface, Not a Trick
  4. 4. Context Engineering
  5. 5. Machine-Usable Output
  6. 6. Provider Abstraction and Model Selection
  7. 7. Fine-Tuning, Retrieval, or Prompting
  8. 8. Responsible AI in Practice

After this course

FreeIntermediate

Build and Evaluate RAG Applications

8 sessions · self-paced

Eight sessions on retrieval-augmented generation: embeddings and vector search, grounded answers with citations, why retrieval fails, evaluation suites and catching hallucinations.

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TechEazy Consulting training material — not affiliated with or endorsed by OpenAI, Anthropic or any other company named in this course.