About the course

This 12-week, hands-on program is designed to take you from beginner to production-ready AI engineer, step by step.

No prior AI experience is required.
If you know basic Python, we’ll guide you through everything else.

You won’t just learn theory you’ll build, evaluate, debug, and deploy real-world AI systems the way they are built in industry today.

You’ll work with LangChain, RAG, Vector Databases, Agents, LangGraph, LangSmith and LLM Ops - and understand how modern production AI systems are actually designed, optimized, and maintained.

🚀 What You’ll Learn

• LLM & Transformer fundamentals (beginner-friendly)
• Prompt engineering & structured LangChain workflows
• Retrieval-Augmented Generation (RAG)
• FAISS & cloud vector databases
• AI agents with memory & tools
• Multi-agent systems using LangGraph
• LLM evaluation & hallucination control
• Deployment with FastAPI

🛠 Real-World Projects You’ll Build

• Production-Grade RAG System
• Multi-Agent Assistant
• Enterprise Support AI Agent (Capstone)

🎯 Who This Is For

• Beginners who want a structured, guided path into AI
• Software engineers exploring LLM systems
• Data professionals moving toward AI engineering
• Python developers transitioning into AI
• Anyone preparing for AI Engineer roles

⏳ Course Format

• 12-week structured learning path
• Beginner-to-advanced progression
• Weekly live mentorship sessions
• Recorded lessons for flexible learning
• Guided hands-on coding
• Production-focused architecture thinking

You’ll move from foundational concepts to building complete production-ready AI systems in just 12 weeks.

👨‍🏫 Instructor

Sarveshwaran Rajagopal
AI Engineer | Applied AI Researcher | Production AI Systems Mentor