Agentic Ai With Crewai  & Agentic Design Patterns

Go Beyond Chatbots — Build Smart, Autonomous AI Agents with CrewAI

What you'll learn

Build autonomous AI agents using CrewAI

Design multi-agent systems

Enhance agents with memory, reasoning, and tool integration

Create a capstone AI project

Requirements

Basic Python knowledge

Description

In this power-packed crash course, you're going to learn how to build Agentic AI systems that go way beyond basic prompts and predictable replies. We're talking about intelligent agents that plan, make decisions, talk to each other, and actually do stuff — autonomously. Forget boring chatbots. This is your chance to create a squad of AI agents that work like a boss crew — researching, writing, collaborating, and learning. All this using CrewAI, the hottest open-source tool in the Agentic AI space.What You’ll LearnThe what, why, and how of Agentic AIHands-on CrewAI setup & real-world workflowsDesigning multi-agent systems that can reason, collaborate, and actImplementing Agentic Design Patterns that make your AI smart, scalable, and safePlugging in tools like web scraping & search APIs to supercharge your agentsBuilding a Capstone Project: An AI-powered “Book Builder” system with collaborative agentsWhy Agentic AI?Agentic AI is the next evolution of intelligent systems — we're talking autonomy, memory, goals, adaptability, and teamwork. Think of it as the difference between a calculator… and a full-on project manager with a brain. Course BreakdownSection 2: Intro to Agentic AI – how it’s different, why it’s hot, and where it's used IRLSection 3: First look at CrewAI and how it powers agent collaborationSection 4: Setting up your dev environment, Python, APIs, and CrewAISection 5: Core concepts of agent behavior – autonomy, decision-making, memory, and teamworkSection 6: Agentic Design Patterns – processes, planning, error handling, and real pro tipsSection 7: Capstone Project – From Concept to Canvas: Build a full AI system that helps generate a book using agents as creative collaboratorsPrerequisitesThis is a fast-paced, beginner-friendly crash course, but you’ll need:Basic Python knowledge.Some experience with AI tools (like LangChain, OpenAI API, etc.) helpsA curious mind and a love for building cool tech Who This Course Is ForAspiring AI developers looking to break into Agentic AIPythonistas who want to build real, working multi-agent systemsProduct builders, creative technologists, and indie hackers who want AI to actually helpAnyone curious about the future of collaborative AI systems

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: What is agentic AI

Lecture 2 Introductions What is agentic ai

Lecture 3 1. Definition & Importance

Lecture 4 2. Evolution of Tradional to Agentic Ai

Lecture 5 3. Real World Applications

Lecture 6 4. How Agentic AI Works

Section 3: 3 Understanding crew ai & agentic workflows

Lecture 7 1. Introduction Understanding crew ai & agentic workflows

Lecture 8 2. Introduction to crew ai

Lecture 9 3. How crew ai Crew works

Lecture 10 3. How crew ai Flows works

Section 4: 4 Installing and setting up env

Lecture 11 1 Installation in windiows

Lecture 12 2. Installation in Linux

Lecture 13 3 .API keys

Section 5: 5 Section 5 Core Concepts of Agentic AI

Lecture 14 Introduction

Lecture 15 1. Understanding core components

Lecture 16 2. Multi agent collaboration with crew ai

Lecture 17 3. State Management

Section 6: Section 6 Agentic Desogn Patterns & Advanced Crew AI Concepts

Lecture 18 Introduction Agentic Design patterns

Lecture 19 1.Understanding Agentic Design Pattrerns

Lecture 20 2. Enhancing Agent Intelligence

Lecture 21 3. Integrating Tools

Section 7: 7. Capstone project

Lecture 22 Capstone project

Aspiring AI developers looking to break into Agentic AI,Pythonistas who want to build real, working multi-agent systems,Product builders, creative technologists, and indie hackers who want AI to actually help Anyone curious about the future of collaborative AI systems