Agentic AI

Agentic AI focuses on building autonomous AI systems (agents) that can make decisions, take actions, and achieve goals with minimal human intervention.

Workshop Overview

This workshop introduces the concepts of AI agents, planning, reasoning, tool usage, and multi-agent collaboration, enabling learners to design intelligent, goal-driven systems.

Workshop Modules

Introduction to Agentic AI

Understanding autonomous AI agents and their capabilities.

AI Agents Architecture

Components like memory, planning, reasoning, and action modules.

Prompting & Tool Use

Designing agents that interact with APIs, tools, and environments.

Planning & Reasoning

How agents break down tasks and make decisions step-by-step.

Memory Systems

Short-term and long-term memory in intelligent agents.

Multi-Agent Systems

Collaboration and communication between multiple AI agents.

Frameworks & Libraries

Overview of tools like LangChain, AutoGen, and CrewAI.

Real-world Applications

Use cases in automation, customer support, and operations.

Safety & Alignment

Ensuring reliable, ethical, and controllable agent behavior.

Focus Areas

Autonomous AI Systems
Agent Architecture
Planning & Reasoning
Tool Integration
Multi-Agent Collaboration
AI Safety & Alignment