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Старый 31.05.2025, 02:24
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По умолчанию Agentic Ai With Crewai & Agentic Design Patterns


Agentic Ai With Crewai & Agentic Design Patterns
Published 5/2025
Created by Basics Strong
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 22 Lectures ( 3h 46m ) | Size: 1.47 GB


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
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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