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Microsoft AI Agents: From Foundations to Applications Professional Certificate
Unlock your AI-powered efficiency with Microsoft. Build, deploy, and manage AI agents and multi-agent systems using the Microsoft Azure ecosystem.

Instructor: Microsoft
Included with 
Recommended experience
What you'll learn
Gain practical skills in designing and implementing AI agents.
Use Azure's AI ecosystem for agent development.
Use best practices for AI agent deployment in enterprise contexts.
Create a portfolio of AI agent projects to demonstrate new capabilities.
Skills you'll gain
- Prompt Engineering
- Responsible AI
- System Testing
- Reinforcement Learning
- System Monitoring
- Microsoft Azure
- Microservices
- Scalability
- Kubernetes
- Generative AI Agents
- Serverless Computing
- Application Deployment
- Distributed Computing
- Containerization
- Natural Language Processing
- Artificial Intelligence
- Docker (Software)
- LangChain
- Artificial Intelligence and Machine Learning (AI/ML)
- Large Language Modeling
Details to know

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November 2025
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Frequently asked questions
This program is designed for intermediate AI Experience Designers who want to learn about and enhance their skills building and utilizing AI Agents.
To be successful in this program, you should have a background in programming basics (any language) and cloud computing concepts. For the advanced courses, comfort with Python fundamentals, including async programming and REST APIs, is recommended.
An AI agent is a software system that uses artificial intelligence to achieve a goal by autonomously perceiving its environment, reasoning, and taking action. An AI agent can break down complex tasks into smaller steps, use external tools and APIs, and learn and adapt over time. They have a degree of autonomy that allows them to make decisions and execute actions without constant human intervention.
More questions
Financial aid available,
¹Based on Coursera learner outcome survey responses, United States, 2021.