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GUIDED STUDY / 28 LESSONS

AI engineering

Learn how models work and how to build with them.

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Lessons

  1. 01 / LESSON 004

    The Next Word

    AI doesn't think. It guesses the next word.

  2. 02 / LESSON 114

    How senior engineers use AI agents

    Can you prove the fix?

  3. 03 / LESSON 115

    The AI-allowed interview round

    A toy round allows test ideas. Can you catch the missing case?

  4. 04 / LESSON 116

    5 things never to let AI do

    AI can draft your release. Keep these five calls under human review.

  5. 05 / LESSON 117

    AI wrote it. Can you defend it?

    Explain the contract, edge case and test for one AI-suggested change.

  6. 06 / LESSON 118

    Ticket to pull request with agents

    What does the reviewer get?

  7. 07 / LESSON 119

    Claude Code vs Codex vs Cursor

    One task, three coding tools. Where do you review the work?

  8. 08 / LESSON 130

    RAG in 60 seconds

    Can you check the source?

  9. 09 / LESSON 131

    Embeddings

    How can search find related text with different words? Follow a toy cosine ranking.

  10. 10 / LESSON 132

    Prompt injection

    A fictional memo tries to turn a summary into a post. Follow the app's permission check.

  11. 11 / LESSON 133

    Why AI hallucinates

    Would you trust that answer?

  12. 12 / LESSON 134

    Agents vs workflows

    Same support ticket, two designs. Who picks the next step?

  13. 13 / LESSON 135

    Fine-tuning vs RAG vs prompting

    One fictional museum question shows when to change the prompt, retrieve evidence, or fine-tune.

  14. 14 / LESSON 136

    What is MCP?

    How apps reach tools

  15. 15 / LESSON 137

    Temperature

    Same three tokens, different odds. See what temperature changes in one toy draw.

  16. 16 / LESSON 138

    Context windows

    Follow one toy 100-token window and see how an app leaves room for a reply.

  17. 17 / LESSON 139

    Evals

    Would you ship this version?

  18. 18 / LESSON 140

    Vector databases

    Which guide is nearest, and can a limited index probe miss it?

  19. 19 / LESSON 141

    Tool calling

    Follow one fictional room lookup from the model's structured request to the app's checked result.

  20. 20 / LESSON 142

    Attention and transformers

    Can a token use the future?

  21. 21 / LESSON 143

    Choose an AI feature worth building

    Can an editable AI draft help support staff reach a correct reply faster?

  22. 22 / LESSON 144

    Build an editable AI draft

    Check the claim before Send

  23. 23 / LESSON 145

    Measure AI feature quality

    A valid source ID can accompany an unsupported claim. Score both with the same four cases.

  24. 24 / LESSON 146

    Roll out an AI feature safely

    Plan a staff dry run, a limited pilot, and a way back to manual reply.

  25. 25 / LESSON 147

    Scope an AI coding task

    Turn a vague retry ticket into a checkable task.

  26. 26 / LESSON 148

    Write rules for coding agents

    Give your coding agent one project rule it can run and verify.

  27. 27 / LESSON 149

    Run coding agents in parallel

    Give each coding agent a separate checkout and a clear file boundary.

  28. 28 / LESSON 150

    Review AI code with a counterexample

    The timeout test passes. What input exposes the bad retry?