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Certification

Certification in Integrating AI with DevTools Using Model Context Protocol (MCP)

Get certified in Model Context Protocol for Developers,demonstrate your ability to integrate AI with dev tools, automate workflows, connect language models to data, and deliver secure, scalable solutions that drive real project impact.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate
IT and developmentProduct development
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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 15 chapters of the course

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

  1. 01Introduction18:50
  2. 02Keynote: understanding MCP18:16
  3. 03Azure AI Foundry, Windows and registry15:11
  4. 04Anthropic roadmap and Q&A15:13
  5. 05VS Code deep dive24:53
  6. 06Community registry deep dive20:12
  7. 07NLWeb overview19:59
  8. 08NLWeb Q&A6:29
  9. 09Future of interactions15:57
  10. 10MCP UI and OAuth security18:47
  11. 11Enterprise security and limits14:45
  12. 12Visual Studio demo10:31
  13. 13Neon DB and MCP22:57
  14. 14MCP with LangChain3:31
  15. 15Demo fixes and wrap34:25
About the course

The "Model Context Protocol (MCP) for Developers: Integrating AI with DevTools (Video Course)" certification offers a comprehensive pathway to mastering seamless AI integration within your development workflow. By completing this course, you’ll gain valuable skills such as increased productivity, adaptability, improved decision-making, and a competitive edge in leveraging AI-powered tools. Enroll today to unlock new opportunities and advance your career with practical expertise in cutting-edge AI and development technologies.

This certification covers the following topics:

  • Understanding the Model Context Protocol (MCP) as a Universal AI Adapter
  • MCP Architecture: Host, Client, and Server Components
  • Integrating MCP with Developer Tools: VS Code and GitHub Copilot
  • Extending MCP to Azure AI Foundry and Windows OS
  • Managing Security, Authentication, and Governance in MCP Deployments
  • Automating Database Management with AI Agents and MCP
  • Building and Leveraging the MCP Registry and Developer Community
  • Designing Scalable, Secure AI-Driven Workflows
  • Adapting to the Agentic Future of User Interaction
  • Connecting Language Models with Real-Time Data Sources

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.

Software DevelopersAI EngineersSoftware EngineersFull-Stack DevelopersBackend DevelopersMachine Learning EngineersSoftware ArchitectsAutomation EngineersWeb DevelopersIT ConsultantsData ArchitectsBlockchain Developers