2.0 Ultimate Data Science & GenAI Bootcamp
₹10000.00
(inclusive of GST)
Course Overview
12 Months
Start Date
January 11, 2026
Sat and Sun 9 AM to 1 PM & Wed 8:30 PM to 10:30 PM
The Ultimate Data Science & GenAI Bootcamp V2.0: Your Complete Journey from Beginner to AI Expert
This isn't just another data science course. It's a complete journey that maps the entire evolution of AI. You'll begin by mastering the fundamentals and finish by building the autonomous, reasoning systems that are defining the future of technology.
No Experience Required, Expert on Exit: This program is built for everyone. It starts from the ground up with Python basics and statistics, ensuring a strong foundation before launching you into advanced topics.
A Truly Comprehensive Curriculum: Most courses stop at Machine Learning. We're just getting started. You will progress from core ML to Deep Learning (like Transformers and BERT), then master Generative AI, RAG, and multi-agent workflows with LangGraph.
Build End-to-End, Production-Ready Projects: You won't just learn theory. You'll gain practical experience by implementing end-to-end AI projects, including a RAG Q&A system with CI/CD integration, text summarisation models, and more.
Learn from Leading Industry Experts: Be guided by a team of renowned educators and practising professionals, including Chief AI Engineer Krish Naik, Senior Data Scientist Sourangshu Pal, and GenAI Engineer Sunny Savita.
What You Will Learn
Master the full data science lifecycle, from Python programming and statistical analysis to building and deploying next-generation Generative AI and autonomous agents.
Python & Data Analysis Toolkit
Write efficient Python code and use Pandas, NumPy, and Streamlit to analyze, visualize, and present data in interactive web apps.
Statistics & Machine Learning
Apply statistical reasoning and feature engineering to build, evaluate, and tune essential ML models for regression, classification (XGBoost), and clustering.
Deep Learning & NLP
Process text using TF-IDF and Word2Vec and build advanced deep learning models, including RNNs, LSTMs, and modern Transformer architectures like BERT and GPT.
Generative AI & RAG
Master Generative AI fundamentals , use vector databases (Chroma, Pinecone) , and build complete Retrieval-Augmented Generation (RAG) systems that integrate external data.
LangChain & LangGraph Orchestration
Use LangChain to build complex LLM chains and agents. Master LangGraph to create stateful, graph-based workflows with memory and human-in-the-loop (HITL) integration.
Agentic AI & End-to-End Deployment
Design multi-agent systems that collaborate and reason. Learn to deploy your projects using Docker, AWS, and CI/CD automation pipelines for production-ready applications.
Database Management
Manage data using both SQL and NoSQL. Master PostgreSQL on Supabase (writing queries, joins) and MongoDB Atlas (handling flexible, document-based data).
Advanced ML & NLP
Implement models like SVMs, Decision Trees, Random Forests, and XGBoost. Understand Gradient Descent and Regularization (Ridge/Lasso). Process text using NLTK, TF-IDF, and Word2Vec.
Projects You'll Build
In this course, you'll gain hands-on experience by implementing end-to-end AI projects. You'll build solutions that span data engineering, machine learning, deep learning, and generative AI & RAG.
Project 1: Data Engineering & Python Projects
Build a full-stack database application from the ground up using Supabase and Streamlit. You will also implement a complete End-to-End Review Scraper, mastering data collection and application building.
Project 2: Machine Learning Project
Apply your machine learning skills to a critical, real-world security problem by building a Network Intrusion Detection System.
Project 3: Deep Learning Projects
Dive deep into advanced NLP by building a suite of powerful deep learning models, including systems for Text Summarisation, Machine Translation, and Question Answering.
Project 4: Generative AI & RAG Project
Build the capstone GenAI project: a complete RAG Q&A System. This project will teach you how to produce a modern AI application by implementing full CI/CD Integration.
Course Curriculum
Python Foundations
- 1Introduction to Python and comparison with other programming languages
- 2Python objects: numbers, booleans, strings
- 3Container objects and mutability
- 4Operators: arithmetic, bitwise, comparison, assignment, precedence
- 5Conditional statements: if, if-elif-else
- 6Loops: for, while, break, continue, range
- 7String basics, inbuilt methods, splitting, joining, formatting
- 8Data structures: lists, tuples, sets, dictionaries
- 9List & dictionary comprehensions
- 10Dictionary view objects
- 11Functions: basics, parameter passing
- 12Iterators and generator functions
- 13Lambda functions
- 14Map and functional programming
Learn from Industry Experts
Why Learn This Course
Go from Zero to AI Expert
No experience is required. This 10-12 month program is a comprehensive journey designed to take you from Python basics all the way to building next-generation Agentic AI systems.
Master the Full AI Stack
Go beyond just ML. You'll master the entire modern stack, including SQL/NoSQL databases , Deep Learning (Transformers, BERT) , Vector Databases (Pinecone, Chroma) , and GenAI frameworks.
Build a Real-World Portfolio
Theory alone isn't enough. You will build a portfolio of end-to-end projects, including a Network Intrusion Detection System , a Text Summarizer , and a RAG Q&A System with full CI/CD integration.
Learn Production-Ready Deployment
It's not just about prototypes. You'll learn to deploy applications at scale using FastAPI , Docker , AWS EC2, and automate the entire process with CI/CD pipelines and GitHub Actions.
Learn the Future of AI: Agentic Systems
Understand where the industry is moving. This course takes you to the cutting edge with modules on Agentic AI , LangGraph , and designing multi-agent systems that can reason, collaborate, and act autonomously.
Learn from Leading Industry Experts
Be guided by a team of renowned educators and practicing professionals from Krish Naik Academy, including Chief AI Engineer Krish Naik , Senior Data Scientist Sourangshu Pal & Monal Kumar, and GenAI Engineer Sunny Savita.
Skills You Will Acquire
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