Name: Gen AI & Agentic AI
Price: 40000 INR
Availability: InStock

Overview

What You'll Learn

This cutting-edge program takes you deep into the world of Generative AI and Agentic AI. You'll learn how Large Language Models work, master prompt engineering, build applications with LangChain and vector databases, and create autonomous AI agents that can reason, plan, and execute tasks independently. This is the most in-demand AI skill set of 2025.

Build AI agents with LangChain, CrewAI & AutoGen
Master prompt engineering for GPT-4, Claude & Gemini
RAG (Retrieval-Augmented Generation) with vector databases
Deploy AI applications to production
Fine-tuning & customizing LLMs for business use cases

Who Is This For?

Ideal Candidates

→ Python developers wanting to build AI-powered applications

→ Data professionals looking to add Gen AI to their skill set

→ Software engineers who want to integrate AI into products

→ Tech enthusiasts who want to ride the AI wave early

Curriculum

Course Modules

From LLM fundamentals to building autonomous AI agents

Python essentials for AI development
APIs, JSON, and HTTP requests
Introduction to neural networks & deep learning
Overview of the AI landscape & key terminology
Setting up the development environment

Transformer architecture & attention mechanism
How GPT, BERT, Llama & Claude work
Tokenization, embeddings & context windows
OpenAI API, Anthropic API & Hugging Face
Comparing open-source vs closed-source models

Zero-shot, few-shot & chain-of-thought prompting
System prompts, role-based prompts & guardrails
Prompt chaining & structured output generation
Evaluation of prompt effectiveness
Building prompt libraries for business use cases

Retrieval-Augmented Generation (RAG) architecture
Document loading, chunking & embedding
Vector databases — Pinecone, ChromaDB, FAISS
Semantic search & similarity matching
Building a "Chat with PDF" application

LangChain framework — chains, memory, tools
Building conversational AI applications
Integrating external tools & APIs
Streamlit & Gradio for AI app interfaces
Deploying Gen AI applications

What are AI agents — reasoning, planning, acting
Building agents with CrewAI & AutoGen
Multi-agent systems & agent collaboration
Tool-use, function calling & code execution
Real-world agentic workflows for business automation

Fine-tuning LLMs with custom datasets
Model evaluation metrics & benchmarks
Responsible AI — bias, safety & ethical considerations
End-to-end capstone project
Career prep — resume, portfolio & interview preparation

Technologies

Tools & Technologies You'll Master

Python OpenAI API LangChain CrewAI AutoGen Hugging Face ChromaDB Pinecone FAISS Streamlit Gradio FastAPI Docker Git VS Code

Projects

Hands-On Projects

Build AI agents and Gen AI applications from scratch

AI-Powered Research Agent

Build a multi-agent system that researches topics, summarizes findings, and generates structured reports autonomously.

Chat with Documents (RAG)

Create a RAG application that lets users upload PDFs and ask natural language questions with accurate, sourced answers.

Customer Support Chatbot

Design an intelligent chatbot with memory, context awareness, and tool integration for handling real customer queries.

Autonomous Workflow Agent

Build an agentic workflow that automates business tasks — data collection, analysis, email drafting, and reporting.

Career

Career Outcomes

In-demand roles after completing this program

Gen AI Engineer AI/ML Engineer Prompt Engineer LLM Developer AI Solutions Architect AI Product Manager

Average Salary Range: ₹12–35 LPA

FAQs

Frequently Asked Questions

Basic Python knowledge is recommended. We cover AI foundations in Module 1, but prior exposure to programming concepts will help you get more out of the advanced modules.

Agentic AI refers to AI systems that can autonomously plan, reason, and execute multi-step tasks. It's the next frontier after chatbots — companies are actively hiring for this skill as they look to automate complex workflows.

Yes. You'll work directly with OpenAI, Anthropic, and Hugging Face APIs. We also cover open-source alternatives so you can build without API costs when needed.

This course focuses on practical application — building agents, RAG systems, and deploying AI apps. The NLP & Generative AI course goes deeper into the research side: transformer internals, training models from scratch, and advanced NLP techniques.

Yes. We provide portfolio building, resume optimization, mock interviews, and job referrals. Gen AI roles are among the highest-paying in tech right now.

Yes. We offer flexible EMI options. Contact our admissions team at +91 94227 61663 for details on payment plans.

Gen AI & Agentic AI