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Certification

Certification in Building and Deploying AI Agents with Azure AI Agent Service and Foundry

Become certified in building and deploying AI agents with Azure AI Agent Service and Foundry. Demonstrate expertise in automating workflows, integrating enterprise tools, and delivering secure, scalable AI solutions for real business outcomes.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert, technical
IT and developmentOperationsMicrosoft
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 10 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction and agenda3:55
  2. 02Understanding AI agents2:59
  3. 03Key agent characteristics3:07
  4. 04Use cases3:35
  5. 05Agent frameworks3:08
  6. 06Azure AI Agent Service4:44
  7. 07Azure AI Foundry demo10:27
  8. 08SDK and code walkthrough12:33
  9. 09Semantic Kernel orchestration10:12
  10. 10Best practices and Q&A13:44
About the course

The "Build and Deploy AI Agents with Azure AI Agent Service and Foundry" certification demonstrates your expertise in designing and deploying intelligent, autonomous AI agents using Microsoft's Azure platform. Gaining these skills will boost your productivity, enhance your adaptability in a rapidly evolving field, and position you for new career opportunities with higher income potential. Enroll today to gain practical experience and make a real impact in the world of enterprise AI solutions.

This certification covers the following topics:

  • Azure AI Agent Service: Managed Solutions for Enterprise AI Agents
  • Azure AI Foundry: Building, Managing, and Deploying AI Agents
  • Agent Frameworks: Exploring the Ecosystem
  • Practical Development: Building and Testing AI Agents in Azure
  • Integrated Tools: Expanding Agent Capabilities
  • Threads and Context Management for Personalized Conversations
  • Grounding Agents with Data: Knowledge Bases, File Search, and RAG
  • Integrating with External Systems: APIs, Azure Functions, and Webhooks
  • Multi-Agent Systems: Orchestrating Collaboration
  • Deployment: From Development to Production
  • Authentication and Security for AI Agents and Data
  • Best Practices for Implementing AI Agents in Azure

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.

Automation EngineersAI EngineersCloud Architects