GPT, RAG, LangChain, and building AI apps.
What You'll Learn
Understand transformer architecture: attention, positional encoding, multi-head attention
Compare and use leading LLMs: GPT-4, Claude, Gemini, Llama
Master prompt engineering: zero-shot, few-shot, chain-of-thought
Fine-tune LLMs on custom datasets with LoRA / QLoRA
Build RAG systems with vector databases (Pinecone, Chroma)
Create AI agents and tool-using workflows with LangChain
Deploy a production-ready LLM application
Course Curriculum
Projects You'll Build
AI document Q&A chatbot (RAG)Custom AI tutor for a subjectCode review assistantAutonomous research agent
Tools & Technologies
PythonOpenAI APIAnthropic APILangChainHuggingFacePinecone / ChromaFastAPIVercelGoogle Colab
Prerequisites
- ▸Machine Learning Essentials
- ▸Python proficiency
- ▸Basic NLP knowledge (helpful)
- ▸Familiarity with REST APIs
Who It's For
- ▸College students (final year CS/AI)
- ▸Software developers adding AI to products
- ▸Startup founders and product builders
Enroll Now
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Generative AI & Large Language Models
12 weeks
Duration
Advanced
Level
Yes
Certificate
Online / Offline
Mode