Intermediate course
Agentic AI with CrewAI & Agentic Design Patterns
Go Beyond Chatbots — Build Smart, Autonomous AI Agents with CrewAI
Intermediate
Course facts
- Last updated 02/2026
- Instructor: HeadEasy Labs, Abhi Jain
- AI agents, automation and connected workflows
What you'll learn
Practical outcomes
- Build autonomous AI agents using CrewAI
- Design multi-agent systems
- Enhance agents with memory, reasoning, and tool integration
- Create a capstone AI project
Curriculum
7 sections • 24 lectures • 3h 56m total length
Introduction1 lecture • 7min
- Introduction06:43
What is agentic AI6 lectures • 20min
- Introduction: What is agentic AI00:29
- 1. Definition & Importance00:53
- 2. Evolution of Tradional to Agentic AI04:45
- 3. Real World Applications07:16
- 4. How Agentic AI Works06:23
- Resources00:36
Understanding crew ai & agentic workflows4 lectures • 11min
- 1. Introduction Understanding crew ai & agentic workflows00:22
- 2. Introduction to crew ai01:31
- 3. How crew ai Crew works06:33
- 4. How crew ai Flows works02:52
Installing and setting up env3 lectures • 14min
- 1 Installation in windiows05:49
- 2. Installation in Linux04:36
- 3 .API keys04:02
Core Concepts of Agentic AI5 lectures • 1hr 33min
- Introduction01:08
- 1. Understanding core components27:02
- 2. Multi agent collaboration with crew ai - CREWS45:06
- 2. Multi agent collaboration with crew ai - FLOWS09:37
- 3. State Management10:12
Agentic Design Patterns & Advanced Crew AI Concepts4 lectures • 1hr 2min
- Introduction Agentic Design patterns01:39
- 1.Understanding Agentic Design Pattrerns11:12
- 2. Enhancing Agent Intelligence15:15
- 3. Integrating Tools34:19
Capstone project1 lecture • 29min
- Capstone project28:35
Who it is for
- 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
Course description
Overview
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 Learn The what, why, and how of Agentic AI Hands-on CrewAI setup & real-world workflows Designing multi-agent systems that can reason, collaborate, and act Implementing Agentic Design Patterns that make your AI smart, scalable, and safe Plugging in tools like web scraping & search APIs to supercharge your agents Building a Capstone Project: An AI-powered “Book Builder” system with collaborative agents Why 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 Breakdown Section 2: Intro to Agentic AI – how it’s different, why it’s hot, and where it's used IRL Section 3: First look at CrewAI and how it powers agent collaboration Section 4: Setting up your dev environment, Python, APIs, and CrewAI Section 5: Core concepts of agent behavior – autonomy, decision-making, memory, and teamwork Section 6: Agentic Design Patterns – processes, planning, error handling, and real pro tips Section 7: Capstone Project – From Concept to Canvas: Build a full AI system that helps generate a book using agents as creative collaborators Prerequisites This 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.) helps A curious mind and a love for building cool tech Who This Course Is For 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
Instructor
HeadEasy Labs, Abhi Jain
HeadEasy Labs Creating Digital Learning Experiences Previously We were Basics>Strong; HeadEasy – Creating Impactful Learning for the Digital Age At HeadEasy, we believe learning should be simple, engaging, and transformative. In today’s fast-paced digital world, learners expect experiences that are interactive, flexible, and inspiring—and that’s exactly what we deliver. We specialize in designing and developing engaging digital learning experiences that go beyond traditional classrooms. Our approach blends instructional design, storytelling, interactivity, and technology to create learning journeys that capture attention, build curiosity, and drive real outcomes. Whether you’re an educator, trainer, instructional designer, or content creator, our courses equip you with practical strategies, frameworks, and tools to design learning that truly makes an impact. With a focus on clarity, creativity, and learner success, HeadEasy is committed to helping you create digital learning that stands out, engages deeply, and lasts.
