| File Name: | Agentic AI with CrewAI & Agentic Design Patterns |
| Content Source: | https://www.udemy.com/course/agentic-ai-with-crewai-agentic-design-patterns/ |
| Genre / Category: | Other Tutorials |
| File Size : | 1.5 GB |
| Publisher: | udemy |
| Updated and Published: | May 31, 2025 |
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
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
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
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