Agents and workflows
Agentic AI with CrewAI and Design Patterns
Explore agentic AI concepts and workflows while building agents with CrewAI.
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Course topics
Agents and workflows
- CrewAI workflows
- Agent concepts
- Design patterns
You inspect the result
Find your fit
Is this a useful starting point?
For learners with basic Python knowledge who want to explore agent workflows.
- Starting point
- Intermediate
- Course length
- 4 total hours
- Lessons
- 24 lectures
Course by HeadEasy Labs, Abhi Jain
Course last updated: 02/2026
Requirements
- Basic Python knowledge
What is included
- 4 hours on-demand video
- 1 article
- Access on mobile
- Certificate of completion
DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.
Explore the lessons
Course 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
From learning to practice
Try this next.
Build a small CrewAI exercise and record how the agents coordinate their work.
A useful next step
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