Generative AI Course Index – Dataplexa

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Generative AI Course Index

Advanced 60-lesson Generative AI roadmap including foundation models, embeddings, GANs, diffusion, transformers, LLMs, RAG, and real-world applications.

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I. GenAI Basics (15 Lessons)

1. What is GenAI? 2. Evolution of AI 3. Foundation Models 4. Gen vs Disc 5. Key Concepts 6. GenAI Pipeline 7. Train vs Infer 8. Safety & Bias 9. Compute Infra 10. Applications 11. Word Embeds 12. Sentence Embeds 13. Document Embeds 14. OpenAI Embeds 15. Similarity Search

II. Generative Models (15 Lessons)

16. Vector DBs 17. ChromaDB 18. Pinecone 19. Autoencoders 20. VAE 21. GAN Basics 22. DCGAN 23. CycleGAN 24. Diffusion 25. Denoising 26. Latent Space 27. Image Gen 28. Eval Metrics 29. Transformers 30. Self-Attention

III. Transformers & LLMs (15 Lessons)

31. Positional Encode 32. Enc-Dec 33. Decoder-Only 34. BERT 35. GPT 36. Tokenization 37. Train LLMs 38. Instruction FT 39. RLHF 40. LoRA 41. Quantization 42. Function Calling 43. Multimodal Models 44. RAG Intro 45. RAG Architecture

IV. RAG + Real-World Applications (15 Lessons)

46. Chunking 47. Indexing 48. Prompt Cache 49. Agents 50. Memory 51. Evaluation 52. Monitoring 53. Cost Optimize 54. Chatbots 55. Text Gen 56. Image Gen 57. Audio Gen 58. Video Gen 59. Prompt Programming 60. Final GenAI Project