Agentic AI

Build intelligent AI agents that think, reason, and act autonomously to solve real-world tasks.

Course Description

The Agentic AI course takes learners beyond prompts and chatbots into the world of autonomous AI agents. Students understand how agents plan, reason, and execute tasks across multiple systems using frameworks like LangChain, AutoGPT, and OpenDevin. Through guided projects, they design AI systems capable of research, decision-making, and workflow automation. The course covers cognitive architecture, memory management, and tool integration — blending theory with application. By course completion, learners can create intelligent, goal-driven AI agents ready to perform complex, multi-step actions with minimal supervision.

Course Mode

Online

Course Intro

Batch Schedule

Weekend : 11:00 AM to 12:30 PM

Course Fees

₹15,000 + 18% GST

Pre Requisite Courses

You are recommended to undertake this course, if you aren't comfortable with it.

Python Basics (8 Hrs)

Learn Python from scratch — the easiest gateway into programming and problem-solving.

AI, Generative AI & Agentic AI – 30-Session Course Plan

Duration: 10 Weeks (3 sessions per week, 1 hour each)

Format: Live + Hands-on | Mode: Online/Hybrid

Instructor: Anupam Jeevan, B.Tech (IIT Kharagpur) | Founder & Chief Instructor, Jeevan’s Classes

Goal: Build conceptual clarity → master Generative AI tools → create Agentic AI systems

Phase 1: Foundations of AI & ML (Sessions 1–10)

Objective: Build strong AI/ML fundamentals, understand algorithms, and gain practical exposure.

Session	Topic	Focus Area / Hands-on
1	Introduction to AI Landscape	History, branches, and industry applications
2	Python for AI Recap	Numpy, Pandas, data preprocessing
3	Understanding Machine Learning	Supervised vs Unsupervised, real-world uses
4	Regression Models	Linear regression, metrics, simple project
5	Classification Models	Decision trees, Random Forests, confusion matrix
6	Clustering & Recommendation Systems	K-means, collaborative filtering
7	Evaluation & Model Optimization	Overfitting, cross-validation, hyperparameters
8	Intro to Deep Learning	Neural networks, activation functions
9	Frameworks Overview	TensorFlow, Keras, PyTorch basics
10	Mini Project	Predictive analytics or recommender system demo

Phase 2: Generative AI (Sessions 11–20)

Objective: Understand LLMs, Prompt Engineering, and build creative generative AI solutions.

Session	Topic	Focus Area / Hands-on
11	What is Generative AI?	LLM architecture, transformers
12	Prompt Engineering Basics	Zero-shot, few-shot, chain-of-thought
13	Practical Prompt Crafting	Role prompts, multi-step tasks
14	Fine-tuning LLMs	Custom dataset fine-tuning concept
15	Text-to-Image Models	DALL·E, Midjourney, Stable Diffusion
16	Text-to-Speech & Code Generation	Whisper, GPT Code, audio tools
17	Integrating APIs	OpenAI, Hugging Face API hands-on
18	Building a Chatbot	Python + OpenAI API chatbot project
19	Generative AI Ethics & Safety	Bias, hallucination, responsible AI
20	Mini Project	Build your own LLM-powered assistant

Phase 3: Agentic AI (Sessions 21–30)

Objective: Learn how to make AI act, reason, and collaborate through agent frameworks.

Session	Topic	Focus Area / Hands-on
21	Understanding Agentic AI	What are AI agents, why they matter
22	Agents vs Traditional LLMs	Reasoning, planning, and memory
23	Tool Use & APIs	Function calling and external data
24	Memory and Context Handling	Short-term vs long-term memory
25	Multi-Agent Collaboration	Communication between agents
26	LangChain & CrewAI Basics	Framework setup and structure
27	Retrieval-Augmented Generation (RAG)	Combining LLM + vector stores
28	Building a Multi-Agent System	Real use case implementation
29	Capstone Design & Demo Prep	End-to-end system build guidance
30	Final Capstone Presentation	Showcase AI project + feedback

Course Deliverables

10 practice notebooks + 3 mini projects
1 Capstone “Agentic AI Assistant” project
Completion certificate from Jeevan’s Classes

Enroll Now

Instructor

Anupam Jeevan
Course Start Date

09-Nov-2025
No of Sessions

30
Duration

30 Hrs
Course Mode

Online