- Course
Integrating Gen AI for Developers
Adding Gen AI to an app is easy to prototype but hard to move into production. This course teaches you the right integration approach, implement function calling, structured outputs, and MCP to build reliable, scalable, and maintainable features.
Advanced
- Course
Integrating Gen AI for Developers
Adding Gen AI to an app is easy to prototype but hard to move into production. This course teaches you the right integration approach, implement function calling, structured outputs, and MCP to build reliable, scalable, and maintainable features.
Advanced
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This course is included in the libraries shown below:
- AI
What you'll learn
A Gen AI prototype takes an afternoon; a production integration takes decisions — and the wrong ones are expensive to unwind. In this course, Integrating Gen AI for Developers, you'll learn to take generative AI from prototype to production-ready integration. First, you'll explore the Rent, Buy, and Build pathways and apply a structured decision framework across today's provider landscape. Next, you'll discover how function calling, tool use, structured outputs, and the Model Context Protocol (MCP) turn a chat toy into a reliable application component. Finally, you'll learn how to architect a decoupled, scalable AI service layer and execute a phased rollout that manages risk and builds stakeholder confidence. When you're finished with this course, you'll have the skills and knowledge of generative AI integration needed to ship Gen AI features that hold up and thrive in production.
Integrating Gen AI for Developers
Advanced
Table of contents
Xavier is very passionate about teaching, helping others understand Generative AI, ML, Search, and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP.
