Agentic Ai Made Simple

Mastering Agentic AI: Core Concepts and Practical Applications Made Simple

What you'll learn

Understand the Fundamentals of Agentic AI

Identify real-world scenarios where deploying agents unlocks speed, autonomy, and efficiency.

Get hands-on with building AI agents step by step — from logic to deployment using tools like Amazon Bedrock.

Explore how multiple agents can collaborate, scale, and tackle complex tasks as autonomous teams.

Requirements

You don’t need deep AI expertise to take this course, but a basic understanding of how AI works will help.

If you’ve worked with traditional AI tools like chatbots or retrieval-based systems (RAG), you’ll be able to connect the dots even faster.

Familiarity with Python, APIs, or cloud platforms (like AWS) is a plus — especially if you plan to build and deploy your own agents.

Description

Welcome to Agentic AI Made Simple — a hands-on, beginner-friendly, analogies driven course designed to help you understand and build AI agents that don’t just respond, but think, decide, and act.In this course, you'll explore why Agentic AI is a game-changer, how it's different from traditional systems like RAG (Retrieval-Augmented Generation), and where it fits in real-world applications. Through simple analogies, clear examples, and practical breakdowns, you’ll learn:What makes an AI "agentic"When and why to use agentsHow to build your own agents from the ground upHow Amazon Bedrock makes it easier to deployAnd how multiple agents can work together to solve complex tasksWhether you're a developer, tech lead, or curious learner, this course will give you the fundamentals, tools, and confidence to start building agent-based AI solutions — without getting lost in technical jargon.If you’re ready to move beyond prompts and into real AI systems that do, not just say — this course is your launchpad.Everything is explained with examples, analogies, and hands-on-exercises — no unnecessary complexity, just practical knowledge you can use.By the end of this course, you’ll be equipped with the skills and understanding to not just talk about Agentic AI — but to build with it.Let’s shape the future of AI — from fluent talkers to autonomous doers.

Overview

Section 1: Pre-Mission Briefing

Lecture 1 Introduction

Section 2: Operation Plan (Agenda)

Lecture 2 Operation Plan (Agenda)

Section 3: Bootcamp Basics

Lecture 3 Mission Briefing: Why Agents Matter?

Lecture 4 Mapping the Terrain: Understanding Agentic AI - Part 1

Lecture 5 Mapping the Terrain: Understanding Agentic AI - Part 2

Lecture 6 Rules of Engagement: When to Activate an Agent

Section 4: Real-World Ops

Lecture 7 Field Manual: Real-World Agent Use Cases

Lecture 8 Choosing the Right Gear: Agentic AI vs RAG

Lecture 9 A Decision Tree

Lecture 10 Field Test

Section 5: Classified: Agent Internals

Lecture 11 Anatomy of an Agent - Part 1

Lecture 12 Anatomy of an Agent - Part 2

Section 6: Operation Agent Forge: Engineering Your AI Agents

Lecture 13 Building an Agent - Part 1

Lecture 14 Building an Agent - Part 2

Section 7: Command Center: Working with Bedrock Agents

Lecture 15 Bedrock Agent - Demo - Part 1

Lecture 16 Bedrock Agent - Demo - Part 2

Lecture 17 Bedrock Agent - Deep Dive

Lecture 18 Bedrock Agent - Some examples

Lecture 19 Agents through Notebook - Part 1

Lecture 20 Agents through Notebook - Part 2

Section 8: Squad Tactics - Multi-agent Mission

Lecture 21 Multi Agent Systems

Lecture 22 Multi Agent Architecture

Lecture 23 Multi Agent - Hello World

Lecture 24 Supervisor vs Supervisor with Routing

Lecture 25 Performance Improvement

Lecture 26 Demo - A Mortgage Agent

Lecture 27 Building a Travel Planning Agent - Part 1

Lecture 28 Building a Travel Planning Agent - Part 2

Lecture 29 Building a Travel Planning Agent - Part 3

Section 9: Mission Debrief - Key Takeaways & Next Steps

Lecture 30 Final Word

Curious Builders who want a simplified, practical path into the future of AI,Developers & Engineers looking to build hands-on skills in agent-based AI systems,AI/ML Practitioners wanting to go beyond models and prompts into autonomous decision-making,Product Managers & Tech Leads exploring how Agentic AI can create smarter workflows and products,Cloud & Solution Architects working with platforms like Amazon Bedrock or integrating multiple AI services