Course Overview

Master Large Language Models like GPT-4, Claude, and Gemini to build intelligent, context-aware applications. Learn the inner workings of transformers, how to fine-tune models, and how to build production-ready RAG (Retrieval-Augmented Generation) systems.

What you'll learn

Advanced Prompt Engineering
RAG Architecture & Implementation
Fine-tuning & LoRA
Vector Databases (Pinecone, Chroma)

Curriculum

Module 1: Foundation of LLMs
1.1 Transformers and Attention 20:00
1.2 Tokenization and Embeddings 15:00
Module 2: Building with LLMs
2.1 Building Chatbots with LangChain 35:00
2.2 Optimization & Deployment 40:00

Course Info

  • Duration 14 Weeks
  • Lessons 56 Lessons
  • Level Professional
  • Language English