Agentic AI

Duration

14 weeks

Level

Intermediate to Advanced

Price

₹6,999

Course Plan

Weeks 1-2: Introduction to Agentic AI

Overview of agentic AI: Concepts and applications
Setting up Python for AI agent development
Project: Build a simple rule-based agent for task automation

Weeks 3-4: Reinforcement Learning for Agents

Fundamentals of reinforcement learning (RL)
Implementing Q-learning and Deep Q-Networks (DQNs)
Project: Train an agent to play a simple game using RL

Weeks 5-6: Multi-Agent Systems

Understanding multi-agent systems and coordination
Game theory basics for agent interactions
Project: Simulate a multi-agent environment with competition

Weeks 7-8: Autonomous Decision-Making

Markov Decision Processes (MDPs) and POMDPs
Building decision-making agents with OpenAI Gym
Project: Create an agent for dynamic resource allocation

Weeks 9-10: Agentic AI with LLMs

Integrating Large Language Models (LLMs) into agents
Using LangChain for agent workflows
Project: Develop a conversational agent for customer support

Weeks 11-12: Real-World Agentic Applications

Agentic AI in robotics and IoT
Deploying agents in real-world scenarios
Project: Build an autonomous workflow agent for task scheduling

Weeks 13-14: Capstone Project and Ethics

Ethical considerations in agentic AI (autonomy vs. control)
Develop a full agentic AI system (e.g., a multi-agent task planner)
Deploy and present your project with a focus on responsible AI

Why Enroll in This Course?

Cutting-Edge Technology

Master autonomous AI agents, a rapidly growing field in AI.

Career Opportunities

Agentic AI skills are in demand in automation, robotics, and more.

Practical Projects

Build real-world AI agents for decision-making and task automation.

Ethical AI Focus

Learn to develop responsible AI agents with ethical considerations.