College Students
Build a strong AI portfolio before graduation and position yourself for high-value AI roles from day one.
GenAI & Agentic AI Mastery
Build production GenAI apps and autonomous agents with LLMs, RAG, vector DBs, LangChain, LangGraph, fine-tuning, and multi-agent orchestration.
Upcoming Batch25 Sept 2026
- Duration22+ weeks (180+ hours)
- Hands-on25+ projects · 16 modules
- CertificateVerified certificate to boost your Resume
What you'll learn
The concrete skills you'll walk away with
Python for AI and Data Science
Working with LLM APIs (OpenAI, Gemini, Claude, Hugging Face)
Prompt Engineering (Chain of Thought, ReAct, Few-Shot)
LangChain Framework Mastery
Retrieval Augmented Generation (RAG) Systems
Vector Databases (FAISS, ChromaDB, Pinecone)
LangGraph for Stateful Workflows
Agentic AI Fundamentals
Building AI Agents with Tools and Memory
Model Context Protocol (MCP) Integration
Multi-Agent Systems for Enterprise AI
Curriculum
What you'll actually build, week by week
Each module is designed to end with something you've built — not just something you've watched.
What you'll learn
- Introduction to Python
- Installing Python and IDE Setup
- Python Syntax
- Variables and Data Types
- Operators
- Input and Output
- Type Casting
- Conditional Statements
- Looping Statements
What you'll learn
- Functions
- Strings
- Lists
- Tuples
- Sets
- Dictionaries
- List Comprehensions
- Modules and Packages
- Exception Handling
What you'll learn
- Introduction to Object-Oriented Programming
- Classes and Objects
- Constructors
- Instance and Class Variables
- Instance, Class and Static Methods
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Magic Methods
What you'll learn
- Introduction to NumPy
- NumPy Arrays and Operations
- Introduction to Pandas
- Series and DataFrames
- Data Import and Export
- Data Cleaning and Preprocessing
- Data Manipulation and Analysis
- Introduction to Matplotlib
- Data Visualization
- Exploratory Data Analysis (EDA)
What you'll learn
- What is Generative AI
- Evolution of Generative AI
- How Generative AI Works
- Types of Generative Models
- Foundation Models
- Large Language Models (LLMs)
- Transformer Architecture
- Tokens and Tokenization
- Embeddings
- Context Window
- Inference
- AI Model Lifecycle
- Popular GenAI Models
- Open Source vs Closed Source Models
See all 11 modules · 150 hours of content
22+
Weeks
180+
Hours
25+
Projects
16
Modules
Hands-on experience
You'll ship real projects, not tutorial exercises
25+Projects
Real-World AI Projects built throughout the program
Theory alone does not make an AI engineer. Every module is paired with hands-on project work. You leave the program with a portfolio of 25+ applied AI projects spanning the complete Generative AI and Agentic AI stack.
Learn by BuildingWhat you'll build across
- Generative AI
- LLM Applications
- Prompt Engineering
- LangChain
- RAG Systems
- Vector Databases
- LangGraph
- AI Agents
- MCP
- Multi-Agent Systems
Your Journey
Your path from student to AI professional
Learner
Starting the program
AI Application Builder
Generative AI & LLM applications
GenAI Practitioner
RAG, LangChain & Vector Databases
AI Engineer
LangGraph & Agentic AI
Agentic AI Engineer
AI Agents & MCP integration
AI Solutions Engineer
Multi-Agent Systems & AI architecture
Roles you'll be ready for
Roles this program can help you prepare for:
- AI Engineer
- Generative AI Engineer
- LLM Engineer
- AI Application Developer
- Prompt Engineer
- RAG Engineer
- AI Automation Engineer
- Agentic AI Engineer
- AI Solutions Engineer
Who this is for
This program is designed for ambitious learners
Freshers
Start your career with one of the most in-demand skill sets in the technology industry.
Working Professionals
Expand your expertise and transition into AI Engineering, Agentic AI, or LLM Application Development.
Software & Python Developers
Leverage your existing programming skills to build intelligent AI applications and autonomous agents.
QA Engineers
Learn to build AI-powered testing tools and automated workflows using LLMs and agentic systems.
DevOps Engineers
Expand from infrastructure to AI infrastructure, LLMOps, and intelligent automation pipelines.
Data Professionals
Progress from data analysis to building LLM-powered data applications and knowledge retrieval systems.
Career Switchers & AI Enthusiasts
Whether changing careers or exploring AI for the first time, this program provides a structured foundation to launch your AI journey.
Frequently asked questions
Common questions from
real students
Still curious? Email us and one of our mentors will personally get back to you within a day.
Generative AI and Agentic AI are reshaping every industry — from software development to healthcare, finance and education. Organizations worldwide are actively hiring professionals who can build AI-powered applications and intelligent agent systems, making these among the fastest-growing skill sets in tech.
No prior AI experience is required. The program starts with Python foundations and gradually progresses to advanced Generative AI and Agentic AI topics. Basic computer familiarity is enough — we take you from Python fundamentals all the way to multi-agent systems.
Python, NumPy, Pandas, Matplotlib, OpenAI, Google Gemini, Anthropic Claude, Hugging Face, LangChain, LangGraph, FAISS, ChromaDB, Pinecone, Model Context Protocol (MCP), and multi-agent frameworks — the full modern AI stack.
College students, freshers, working professionals, software and Python developers, QA and DevOps engineers, data professionals, and career switchers who want to move into AI Engineering, Agentic AI or LLM Application Development.
The program spans 22+ weeks with 180+ hours of guided learning — roughly 8-10 hours per week between live sessions and hands-on practice on 25+ real-world AI projects.
Yes — every learner who completes the program receives a Certificate of Completion that can be shared on LinkedIn and included in your professional portfolio.
Ready to start your learning journey?
Join our growing community of successful graduates