Building AI Agents & Agentic AI System via Microsoft Autogen — 90% Off Coupon

Master Microsoft AutoGen to build powerful AI agents, automate tasks, and create advanced Agentic AI systems.

⭐ 4.6 out of 5 Rating (7,234 students) Created by KRISHAI Technologies Private Limited, Mayank Aggarwal, Krish Naik Updated: December 12, 2025 🌐 English

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Course Title: Building AI Agents & Agentic AI System via Microsoft Autogen

Provider: Udemy (Listed via CoursesWyn)

Instructor: KRISHAI Technologies Private Limited, Mayank Aggarwal, Krish Naik

Coupon Verified On: December 12, 2025

Difficulty Level: All Levels

Category: IT & Software

Subcategory: Generative AI (GenAI)

Duration: 34h of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Understand the fundamentals of agentic AI and how autonomous agents interact using the Microsoft AutoGen framework. · Set up and configure AutoGen to build AI systems with multiple collaborative agents. · Design and implement custom agents that perform tasks like coding, reasoning, and decision-making.

Prerequisites: Basic Python Programming – Students should understand Python syntax, functions, and object-oriented programming. · Familiarity with APIs – Experience working with REST APIs or using third-party libraries will help in integrating LLMs and tools. · Introductory AI/ML Knowledge – A basic understanding of large language models and how they work (e.g., prompts, tokens). · Command Line Usage – Comfort using terminal/command-line tools for installing packages and running scripts. · Python Environment Setup – Ability to set up and manage virtual environments (e.g., venv or conda) and install dependencies via pip.

Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).

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What You'll Learn

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

Understand the fundamentals of agentic AI and how autonomous agents interact using the Microsoft AutoGen framework.
Set up and configure AutoGen to build AI systems with multiple collaborative agents.
Design and implement custom agents that perform tasks like coding, reasoning, and decision-making.
Build and deploy real-world multi-agent workflows that automate complex tasks end-to-end.

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Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

Basic Python Programming – Students should understand Python syntax, functions, and object-oriented programming.

Familiarity with APIs – Experience working with REST APIs or using third-party libraries will help in integrating LLMs and tools.

Introductory AI/ML Knowledge – A basic understanding of large language models and how they work (e.g., prompts, tokens).

Command Line Usage – Comfort using terminal/command-line tools for installing packages and running scripts.

Python Environment Setup – Ability to set up and manage virtual environments (e.g., venv or conda) and install dependencies via pip.

About This Course

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Welcome to **Building AI Agents and Agentic AI Systems Using AutoGen**, a hands-on, project-driven course designed to help you master the future of intelligent software: Agentic AI. As large language models (LLMs) become more powerful, the next evolution is enabling them to work collaboratively through AI agents—and this course is your complete guide to making it happen using Microsoft's AutoGen framework. Whether you're a data scientist, ML engineer, AI researcher, or product builder, this course will take you step-by-step into the world of multi-agent AI systems. You’ll learn to design, build, and deploy AI agents that can autonomously plan, reason, and execute complex tasks by communicating with each other and interacting with external tools. This **Building AI Agents & Agentic AI System via Microsoft Autogen course** is project-focused—you won’t just learn the theory, you’ll build powerful agentic AI applications from scratch. You’ll understand how to design autonomous AI teams that mirror human workflows, assign responsibilities, communicate efficiently, and adapt to dynamic tasks. We’ll also compare AutoGen with other orchestration frameworks like LangChain and CrewAI, giving you a well-rounded perspective of what tools to use and when.By the end of this Building AI Agents & Agentic AI System via Microsoft Autogen course, you will have the confidence and skills to build, scale, and deploy AI agent ecosystems that can reason, act, and collaborate just like teams of humans—powered by the latest advancements in AutoGen and Agentic AI.

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

K

KRISHAI Technologies Private Limited, Mayank Aggarwal, Krish Naik

Verified Architect

A global leader with specialized excellence in IT & Software. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

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Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

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Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Building AI Agents & Agentic AI System via Microsoft Autogen stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.6
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Verified Excellence
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88%
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7%
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1%
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