Description

Deep dive into Generative AI and autonomous AI agents. Learn transformer architecture, prompt engineering, fine-tuning LLMs, LangChain, RAG systems, and building multi-agent workflows with CrewAI and LangGraph. Deploy production-ready AI applications safely.

Course Requirements

• Intermediate Python programming skills
• Familiarity with APIs and basic ML concepts is helpful
• OpenAI API key (free tier is sufficient for most exercises)
• Curiosity about the future of AI-driven software

What You Will Learn

• Understand transformer architecture and how LLMs generate text
• Write effective prompts using few-shot, chain-of-thought, and ReAct patterns
• Fine-tune LLMs using LoRA and QLoRA techniques
• Build Retrieval-Augmented Generation (RAG) pipelines with LangChain
• Set up and query vector databases (Pinecone, FAISS, Chroma)
• Create autonomous AI agents with tool use and memory systems
• Orchestrate multi-agent workflows using CrewAI and LangGraph
• Deploy and monitor LLM applications safely in production