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gen-ai

Generative AI

36 lessons: transformers, prompting, RAG, safety, APIs—read-focused LLM product patterns and 108 MCQs after AI literacy.

Mode
none
Practice
Read / quiz
Lessons
36 units
Start lesson 1 → Introduction to Generative AI

Before you start

Generative AI: LLMs, prompting, RAG, safety, evaluation, and integration patterns.

Assistants and copilots are product surfaces—shipping them safely requires new design skills.

Chat products, code assistants, search augmentation, and internal knowledge tools.

Concept lessons and MCQs on prompting, retrieval, and guardrails (labs added as platform grows).

After AI literacy basics—when you design or review features that call foundation models.

Lesson order

Sequential — follow top to bottom

36 lessons are live in this track. Start from step 01 for the smoothest path.

  1. 01 intro Introduction to Generative AI

    beginner

    Open →
  2. 02 what-is-generative-ai What is Generative AI?

    beginner

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  3. 03 gen-ai-vs-discriminative-preview Generative vs Discriminative ML

    beginner

    Open →
  4. 04 foundation-models-preview Foundation Models and the Stack

    beginner

    Open →
  5. 05 gen-ai-workflow Generative AI Product Workflow

    beginner

    Open →
  6. 06 transformers-intro Transformers for Language

    beginner

    Open →
  7. 07 attention-mechanism-preview Attention Mechanism (Preview)

    intermediate

    Open →
  8. 08 tokens-tokenization Tokens and Tokenization

    beginner

    Open →
  9. 09 context-window-limits Context Windows and Limits

    beginner

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  10. 10 embeddings-vectors-preview Embeddings and Semantic Search

    intermediate

    Open →
  11. 11 inference-decoding-preview Inference and Decoding

    intermediate

    Open →
  12. 12 prompting-fundamentals Prompt Engineering Fundamentals

    beginner

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  13. 13 message-roles-system-user System, User, and Assistant Roles

    beginner

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  14. 14 few-shot-examples Few-Shot Prompting

    intermediate

    Open →
  15. 15 chain-of-thought-preview Chain-of-Thought (Preview)

    intermediate

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  16. 16 json-structured-outputs Structured and JSON Outputs

    intermediate

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  17. 17 prompt-injection-jailbreaks Prompt Injection and Jailbreaks

    advanced

    Open →
  18. 18 rag-architecture-intro Retrieval-Augmented Generation (RAG)

    beginner

    Open →
  19. 19 document-chunking Document Chunking Strategies

    intermediate

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  20. 20 vector-search-preview Vector Search and Indexes

    intermediate

    Open →
  21. 21 retrieval-quality-metrics Retrieval Quality Metrics

    intermediate

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  22. 22 citations-grounding Citations and Grounding

    intermediate

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  23. 23 rag-failure-modes Common RAG Failure Modes

    advanced

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  24. 24 llm-safety-intro LLM Safety and Alignment

    beginner

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  25. 25 hallucinations-factuality Hallucinations and Factuality

    beginner

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  26. 26 pii-secrets-in-prompts PII, Secrets, and Data Minimization

    intermediate

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  27. 27 guardrails-moderation-preview Guardrails and Moderation APIs

    intermediate

    Open →
  28. 28 bias-toxicity-gen-ai Bias, Toxicity, and Representation

    intermediate

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  29. 29 human-in-the-loop-gen-ai Human-in-the-Loop for Gen AI

    beginner

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  30. 30 gen-ai-python-preview Generative AI with Python

    intermediate

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  31. 31 apis-and-sdk-preview APIs, SDKs, and Tool Calling

    intermediate

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  32. 32 streaming-async-preview Streaming and Async Responses

    intermediate

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  33. 33 multimodal-gen-ai-preview Multimodal Generative AI

    advanced

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  34. 34 fine-tuning-lora-preview Fine-Tuning and LoRA (Preview)

    advanced

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  35. 35 interview-essentials-gen-ai Interview Essentials: Generative AI

    intermediate

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  36. 36 production-checklist-gen-ai Production Checklist for Gen AI

    beginner

    Open →