Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 31 Minute(s)
Language
English
Taught by
Tensor Teach
Rating
Course Overview
Master CrewAI's agent-based automation for real-world AI workflows.
This course, "AI Agent Design Patterns with CrewAI," is designed to provide a comprehensive hands-on guide to working with CrewAI and mastering AI-driven automation.
In this course, you will start with the fundamentals of CrewAI, learning about agents and tasks and how to define them using YAML configurations. You will then explore tool usage, equipping your agents with powerful functionalities such as web search and context retrieval.
Next, we delve into planning, reflection, and human input, showing you how to build AI agents that can strategize, adapt, and incorporate human-in-the-loop decision-making. Finally, you will learn how to design multi-agent collaboration, enabling agents to work together effectively in various use cases, including customer support automation.
By the end of this course, you will have:
A strong understanding of CrewAI's core components
The ability to design, configure, and deploy AI agents
Knowledge of advanced AI agent capabilities such as planning and reflection
Practical skills in multi-agent collaboration and real-world AI automation
This course is perfect for developers, data scientists, AI enthusiasts, and business professionals looking to automate workflows with AI agents. No prior experience with CrewAI is required—just a basic understanding of Python and a willingness to explore AI automation.
Enroll now and start building the future of AI-driven automation!
Course Content
- 4 section(s)
- 22 lecture(s)
- Section 1 Agents and Tasks In CrewAI
- Section 2 Tool Use in CrewAI
- Section 3 Planning, Reflection, & Human Input in CrewAI
- Section 4 Multi-Agent Collaboration
What You’ll Learn
- Understand the fundamentals of CrewAI, including Agents and Tasks.
- Understand the fundamentals of building AI Agents.
- Integrate planning, reflection, and human input into CrewAI workflows.
- Develop multi-agent collaboration strategies for real-world applications.
Skills covered in this course
Reviews
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AAntara Sarkar
Quite well structured and researched. A solid introduction to Agentic AI if anyone's looking to dive into this world.
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RRob Chambers
Very informative and easy to follow.
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TTyler Wright
I think the scope and the walkthrough of the lectures was generally solid, even excellent. That said the instructor not so rarely saying "I'm not sure why this is happening" or something to that effect did not inspire confidence in their mastery of the material.
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KKrishna Reddy Nainala
Very good training on AI Agents with Crew AI. Covered all the important aspects of building AI agents with examples. Covered theory and practical parts. Well done. Thank you very much for the excellent training on AI Agents.
