Learn Agentic AI – Build Multi-Agent Automation Workflows (Udemy - Engsub)

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Giới thiệu khóa học: Learn Agentic AI – Build Multi-Agent Automation Workflows

Learn Agentic AI – Build Multi-Agent Automation Workflows is a hands-on course designed to help you understand and build intelligent AI Agents and multi-agent automation workflows using Python, Microsoft AutoGen, and the Model Context Protocol (MCP). The course starts from the fundamentals of LLMs, AI Agents, and Agentic AI before moving into practical applications.

Throughout the course, you’ll learn how to create specialized agents for browser automation, databases, APIs, Excel, and Jira, as well as how multiple agents can collaborate, share context, self-correct, and execute complex tasks with minimal human intervention. You’ll also explore key AutoGen concepts such as Assistant Agents, GroupChat, termination strategies, state saving, and human-in-the-loop workflows.

A major focus is on building real-world automation systems with the Agent Factory Pattern and context engineering, allowing you to create reusable and scalable AI solutions. With practical projects and end-to-end examples, the course is a strong choice for developers, QA engineers, AI engineers, and anyone looking to move from simply using AI to actually building autonomous AI systems.

Bạn sẽ được học:

• Get a detailed understanding of LLMs, AI Agents, MCP, Multi-Agent Systems, and Agentic AI
• Build Multi Agentic workflows using Microsoft AutoGen Framework
• Develop Specialized Agents such as Jira Agent for Bug analysis, Playwright Agent for browser Automation, API Agent for testing, DB Agent for data analysis
• Build intelligent, autonomous AI agents that collaborate, self-correct, and execute complex tasks without constant human intervention
• Understand the power of Context Engineering to enable AI agents to work effectively toward defined goals
• Gain a thorough understanding of AutoGen framework concepts including Assistant Agents, human-in-the-loop collaboration, termination strategies, and state-savin
• Build an Agent Factory design pattern to create reusable specialized agents for multi-purpose use
• Get in-depth knowledge of MCPs and how their configurations are defined for real-world applications

Time Course: 10 giờ (66 Bài giảng + Tài liệu) 

Instructor: Rahul Shetty Academy

Total Weight: 7.07 GB

Khóa học giá rẻ tại:

https://hoctapgiare.top

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Link gốc: https://www.udemy.com/course/agentic-ai-for-automation-multi-agent-autogen/

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