About the course

In this 12-week hands-on cohort starting on November 23rd, you’ll progress from beginner to confidently building real-world AI automation projects using LangChain, OpenAI, and Retrieval-Augmented Generation (RAG).

You’ll work on 10+ guided projects that cover everything from resume screening and document summarization to code review and intelligent chatbots.

💡 What You’ll Learn

1. LangChain fundamentals — tools, memory, chains, and agents
2. Connecting LLMs to real data (PDFs, APIs, web)
3. Building end-to-end AI applications
4. Creating smart workflows with agents & RAG
5. Deploying your own AI assistants using Streamlit or Gradio

🧠 What You’ll Build (Project Highlights)

1. AI Resume Analyzer – Parse & rank resumes using embeddings
2. PDF Document Summarizer – Build your own local RAG pipeline
3. AI Email Assistant – Generate personalized email drafts
4. YouTube Transcript Summarizer – Extract insights from any video
5. Customer Support Bot – Automate FAQs with vector search
6. AI Code Reviewer – Review and optimize code using LangChain
7. Financial Report Summarizer – Extract key business metrics
8. AI Quiz Generator – Create quizzes from study material
9. E-commerce Product Advisor – Build an interactive product recommender
10. AI Knowledge Base Builder – Create your own private RAG system

🧰 Skills You’ll Gain

1. LangChain & LLM Integration
2. Prompt Engineering & Output Structuring
3. Vector Databases (FAISS, Chroma)
4. RAG Pipelines & Memory Management
5. API + Tool Integration for Real Use Cases
6. Building & Deploying AI Apps

🎯 By the End of This Course

✅ Build 10+ portfolio-ready AI projects
✅ Learn how to connect AI with real-world data & tools
✅ Gain the confidence to build and deploy custom AI agents
✅ Become a practical AI developer, not just a learner

💬 Who This Is For

• Developers & data enthusiasts exploring AI automation
• Students aiming to build hands-on AI projects
• Professionals who want to upskill in LangChain & Generative AI