Udemy – Learn Agentic AI – Build Multi-Agent Automation Workflows 2025-7

Udemy – Learn Agentic AI – Build Multi-Agent Automation Workflows 2025-7 Downloadly IRSpace

Aug 17, 2025 - 02:33 Updated: Aug 19, 2025 - 14:29

0 0

Udemy – Learn Agentic AI – Build Multi-Agent Automation Workflows 2025-7

Learn Agentic AI-Build Multi-Agent Automation Workflows is a complicated and automatic work tutorial published by the UNDIM Academy. This is a practical period designed to introduce learners with the prominent world of AI systems, in which several smart factors work jointly to solve complex and automatic work. Through real -world projects and step -by -step guidance projects, students have a useful experience in the design, construction and deployment of artificial intelligence agents that communicate, and intelligently experienced. This course is your ultimate guide to building intelligent intelligent agents of artificial intelligence that perform complex work without continuous human intervention.

You will start with mastering the main foundations-large language modalities (LLMS), artificial intelligence agents, several factors and model field protocols (MCP), which act as spine for operating communication. Through handheld projects, you will create real -world factors such as browser automation, database agents, APIs and JIRA factors. Finally, you can create ready -made operating systems using the operating factory pattern and allows you to design a reusable, scalable and highly efficient workflow.

What you will learn in Learn Agentic AI – Build Multi-Agent Automation Workflows:

Get a detailed understanding of LLMS, AI, MCP, Multi -Agent Systems and AI
Create a multi -factor workflow using the Autogen Microsoft AutoGen framework
Creating specialized factors such as JIRA Factor for Dickery Analysis, Playwriter Representative for Browser Automation, API Factor for Experiment, DB Factor for Data Analysis
Create intelligent and autonomic agents that do complex tasks without constant human intervention, and do sophisticated work.
Understand the power of the field’s engineering so that artificial intelligence agents can work effectively in the direction of defined purposes
Get a complete understanding of the concepts of the framework of the autumn, including the assistant agents, the human cooperation in the circle, the termination strategies, and the state-manner
Create an operating factory design pattern to reusable specialized factors for multipurpose use
And …

Course specifications

Publisher: Udemy
Instructors: Rahul Shetty Academy
Language: English
Level: Introductory to Advanced
Number of Lessons: 63
Duration: 9 hours and 51 minutes