Complete Generative AI Curriculum
Python to production GenAI
Structured curriculum from Python and NLP foundations through transformers, prompt engineering, RAG, fine-tuning, and three real industry projects.
Word2Vec & GloVeTransformersPrompt EngineeringRAG & Vector DBsLoRA & QLoRAInterview Prep
158
Topics
18
Chapters
Free
Cost
All chapters
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Course Overview & Prerequisites
4 topicsprerequisite
Python Foundations
12 topicsprerequisite
NLP Foundations
8 topicsprerequisite
Word Embeddings
8 topicsprerequisite
Neural Networks for NLP
10 topicsprerequisite
Deep Learning Essentials
10 topicsprerequisite
Transformers Architecture
10 topicscore
BERT — Bidirectional Encoders
8 topicscore
Introduction to Generative AI
8 topicscore
Prompt Engineering
8 topicscore
OpenAI API & LangChain
8 topicscore
Vector Databases
8 topicscore
RAG — Retrieval Augmented Generation
10 topicsadvanced
RAG Evaluation
8 topicsadvanced
Fine-Tuning LLMs
8 topicsadvanced
LLM Selection Strategy
8 topicsadvanced
Projects — Real Industry Cases
12 topicsprojects
GenAI Interview Preparation
10 topicsinterview
Ready to build production GenAI systems?
158 topics from Python basics to deploying RAG and fine-tuned LLMs. No account required to start browsing.