강의

멘토링

로드맵

AI Development

/

AI Agent Development

Developing AI Agents Easier Than Expected with Azure

“The era of merely asking AI and getting answers is over.” Now, AI acts on its own. 'Action-oriented AI agents' have emerged that read emails, check remaining annual leave in HR systems, schedule meetings, search internal documents to summarize information, and organize necessary images and links. What's surprising is that all of this can be created even if you're not a developer. By leveraging the Azure AI Agent platform and Microsoft's latest frameworks (Semantic Kernel, AutoGen, etc.), anyone can now build multi-agent systems deployable in actual work, without coding. Directly create 'working AI,' 'connected AI,' and 'AI that judges and moves on its own.' The future is no longer a distant story. It begins now, at your fingertips.

(4.8) 37 reviews

464 learners

  • microsoftkr
실습 중심
AI 코딩
AI 활용법
ai활용
인공지능
MS-Office
Business Productivity
AI
LLM
Generative AI
Thumbnail

Reviews from Early Learners

What you will learn!

  • Gain knowledge for developing Generative AI apps with agents.

  • You can try applying Agentic AI's performance and samples to your own AI Agent development.

  • We can design automated agent systems.

  • You can directly create and run agents using Semantic Kernel and AutoGen.

  • AI can lead the trend of becoming established not as a practical tool, but as the main executor.

Now, forget about AI that just asks questions.

It's time to create an 'AI that acts for you'

“Do you feel like asking ChatGPT questions and getting answers isn’t enough?”
“What if AI could read your emails, query your internal systems, schedule meetings, summarize news and YouTube captions, create necessary images, organize files, and even communicate with others?”

Now all of that is becoming a reality , and the people who create it don't necessarily have to be developers.

In the past, automation required you to write code. You had to open a server, attach an API, learn Python code, and fight with weird log windows.


But now it's different.

Anyone can easily and quickly create an ‘AI system that actually acts’ by utilizing the AI Agent platform provided by Azure and Microsoft’s latest agent framework (Semantic Kernel, AutoGen, etc.).

This course doesn’t stop at simply covering ChatGPT’s prompts. The real goal is to create “AI that works on behalf of users,” that is, an autonomous agent (Agentic AI) that automates real business processes and connects with systems within the enterprise.

💡 For example, something like this is possible

  • “How many days of vacation do I have left?” → Automatically logs into HR system to check

  • “I’ll take vacation from Monday to Wednesday next week” → Apply for annual leave and have it automatically registered in the calendar

  • “What is error code E-22?” → Summary after gathering information from in-house documents/videos/websites

  • “Recommend a 14-inch laptop that would be good for a middle school student” → Spec analysis + Stock check + Link organization

  • “Summarize the video subtitle file” → Automatically summarizes everything from YouTube subtitles to PDF content

All of this can now be implemented as a collaborative multi-agent system rather than a single chatbot .

Is it only possible for developers to do this?

Not anymore.

Microsoft's agent ecosystem has evolved to enable building fully automated AI systems even in low-code/no-code environments. Anyone who is good at writing prompts and designing flows can create ' self-executing AI' through this course.

💡 Recommended for these people

  • A practitioner who has used ChatGPT but has not been able to “automate” it

  • Developers who want to learn modern AI design methods such as RAG, agents, and orchestration.

  • Planner/PM who wants to attach AI system beyond Copilot to internal system

  • Leaders who plan to implement enterprise AI automation based on Azure and Microsoft ecosystems

  • Developers/PMs who want to understand agent architecture and apply LLM to their work

  • IT professionals who want to learn AI agent tools based on the Azure ecosystem

💡 Features of this course

  • A practical lecture on creating ‘AI that actually works’, not just a simple chatbot!
    Leverage Azure AI Agent Service to implement agent-based automation systems where AI goes beyond simply answering questions to taking action, calling systems, and performing tasks on behalf of users.

  • Agent full course to learn RAG, Semantic Kernel, and AutoGen all at once
    Beyond a single LLM, you will gain hands-on experience learning about RAG-based architecture, open source frameworks (Semantic Kernel), and orchestration tools (AutoGen) used in real corporate environments.

  • “From vacation booking to product recommendations” Hands-on learning through practical use cases
    Step-by-step training is conducted based on realistic business scenarios such as HR task automation, customer support chatbot, product recommendation system, web search summary, PDF Q&A, etc. You can experience practical design centered on business connectivity rather than simple functions.

  • OK even if you're not a developer! Step by step from concept → design → execution
    From the concept of AI Agent and the division of roles to the actual workflow configuration, it is designed in a way that can be understood and followed like a diagram to produce results, so even those who are new to AI automation can take on the challenge.

If you are someone who values hands-on experience of creating and actually operating something rather than learning more technologies and frameworks, this course will definitely be a turning point for you.

After class… 

  • You can design automated agent systems, rather than simple AI prompts.

  • You can create and run your own agents using Semantic Kernel and AutoGen.

  • AI can lead the trend of becoming the subject of execution rather than a tool of practice.

🧑 Instructor Introduction 

Hyo Choi

  • Microsoft AI GBB Sr. Technical Specialist

The era of asking AI is over.
Now is the time to tell AI to “do it.”
And now, the time has come for you to design that AI. 

Complete the course and download your Microsoft AI certified badge below!

https://aka.ms/inflearn_badge

Recommended for
these people

Who is this course right for?

  • Working professional who's used ChatGPT but hasn't tried 'automation'.

  • Developer wanting to master modern AI design methods such as RAG, agent, orchestration, etc.

  • Planner/PM aiming to integrate AI system beyond Copilot into internal systems

  • A leader planning enterprise AI automation based on Azure and Microsoft ecosystem

  • Developer/PM who wants to understand agent architecture and apply LLM to their work

  • IT personnel wishing to learn Azure ecosystem AI agent tools

Hello
This is

2,040

Learners

153

Reviews

4.8

Rating

6

Courses

안녕하세요, 한국마이크로소프트입니다.

Microsoft의 가장 최신 소식과 유익한 강의를 전달드리겠습니다.

Curriculum

All

21 lectures ∙ (47min)

Course Materials:

Published: 
Last updated: 

Reviews

All

37 reviews

4.8

37 reviews

  • 소노소노님의 프로필 이미지
    소노소노

    Reviews 1

    Average Rating 5.0

    5

    33% enrolled

    • 서명환님의 프로필 이미지
      서명환

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      • 이홍우님의 프로필 이미지
        이홍우

        Reviews 6

        Average Rating 5.0

        5

        33% enrolled

        • Sungmin Park님의 프로필 이미지
          Sungmin Park

          Reviews 2

          Average Rating 5.0

          5

          100% enrolled

          • taejin park님의 프로필 이미지
            taejin park

            Reviews 1

            Average Rating 4.0

            4

            61% enrolled

            Free

            microsoftkr's other courses

            Check out other courses by the instructor!

            Similar courses

            Explore other courses in the same field!