Gen-AI Professional Bootcamp

Master Generative AI
and LLMs

Work on industry-level LLM projects. Build RAG systems and Agents. Publish research papers and transition confidently into the AI workforce.

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Transition to ML

Confidently move from any field to mastering GenAI.

Implement Projects

Build real-life, domain-specific industry applications.

Convert to Research

Learn how to turn code into published papers.

Career Ready

Add projects to your CV for industry or grad school.

Curriculum: Foundations to Agents

A guided 30-topic journey from core LLM concepts to building autonomous agents.

Topics 1-9

LLM Foundations & Hands-on Projects

Core LLMs, fine-tuning, APIs, clustering and topic modeling.

  • Phi-3 & Hugging Face
  • Fine-tune BERT
  • ChatGPT API
  • Text Clustering
Topics 10-17

Prompt Engineering & LangChain

Prompting fundamentals through agents with memory and safety.

  • Chain-of-Thought
  • LLM Guardrails
  • Quantization
  • Code your First Agent
Topics 18-25

Semantic Search & RAG

Dense retrieval, reranking, MAP/nDCG, and robust RAG systems.

  • Dense Retrieval
  • Chunking Strategies
  • Advanced RAG
  • Evaluating Systems
Topics 26-30

Multimodal Language Models

Vision-language models and multimodal prompting.

  • Vision Transformers
  • CLIP & BLIP
  • Multimodal LLMs
  • Series Summary

What Will You Build?

Tangible, industry-grade projects for your portfolio.

Industrial RAG System

One of the pillars of the bootcamp. You will understand the fundamentals of Retrieval Augmented Generation (RAG) and apply it to create multiple hands-on, industry-level chatbots.

Your First LLM Agent

LLM agents are changing the corporate world. We will teach you the foundations of how agents work and guide you to build autonomous LLM agents from scratch!

Choose Your Plan

Select the learning path that fits your goals.

Student Plan
Rs. 40k
By AIAI Mentors
  • Full Course Access
  • Assignments & Quizzes
  • Community Support
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AI Agents Bootcamp
Rs. 35k
By AIAI Mentors
  • Focused on Agentic AI
  • LangChain Deep Dive
  • Project-Based Learning
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