Generative AI
Course Index
60 Lessons · 4 Levels
Advanced GenAI roadmap — foundation models, embeddings, GANs, diffusion, transformers, LLMs, RAG, agents, multimodal models, and real-world applications.
60Lessons
4Levels
3Projects
FreeAccess
Level I
GenAI Basics
Lessons 1–15
Lesson 01
What is GenAI?
Lesson 02
Evolution of AI
Lesson 03
Foundation Models
Lesson 04
Gen vs Disc
Lesson 05
Key Concepts
Lesson 06
GenAI Pipeline
Lesson 07
Train vs Infer
Lesson 08
Safety & Bias
Lesson 09
Compute Infra
Lesson 10
Applications
Lesson 11
Word Embeddings
Lesson 12
Sentence Embeddings
Lesson 13
Document Embeddings
Lesson 14
OpenAI Embeddings
Lesson 15
Similarity Search
Level II
Generative Models
Lessons 16–30
Lesson 16
Vector Databases
Lesson 17
ChromaDB
Lesson 18
Pinecone
Lesson 19
Autoencoders
Lesson 20
VAE
Lesson 21
GAN Basics
Lesson 22
DCGAN
Lesson 23
CycleGAN
Lesson 24
Diffusion
Lesson 25
Denoising
Lesson 26
Latent Space
Lesson 27
Image Generation
Lesson 28
Eval Metrics
Lesson 29
Transformers
Lesson 30
Self-Attention
Level III
Transformers & LLMs
Lessons 31–45
Lesson 31
Positional Encoding
Lesson 32
Enc-Dec
Lesson 33
Decoder-Only
Lesson 34
BERT
Lesson 35
GPT
Lesson 36
Tokenization
Lesson 37
Train LLMs
Lesson 38
Instruction Fine-Tuning
Lesson 39
RLHF
Lesson 40
LoRA
Lesson 41
Quantization
Lesson 42
Function Calling
Lesson 43
Multimodal Models
Lesson 44
RAG Intro
Lesson 45
RAG Architecture
Level IV
RAG + Real-World Applications
Lessons 46–60
Lesson 46
Chunking
Lesson 47
Indexing
Lesson 48
Prompt Cache
Lesson 49
Agents
Lesson 50
Memory
Lesson 51
Evaluation
Lesson 52
Monitoring
Lesson 53
Cost Optimization
Lesson 54
Chatbots
Lesson 55
Text Generation
Lesson 56
Image Generation
Lesson 57
Audio Generation
Lesson 58
Video Generation
Lesson 59
Prompt Programming
Lesson 60
Final GenAI Project