Information TechnologySTEM

Fundamentals of AI Engineering: Principles and Practical Applications

Transform your software engineering skills into AI engineering capabilities with this in-depth, hands-on course. Learn how to build production-ready AI systems, from embedding generation to model deployment. Master practical implementations of vector stores, RAG systems, and hybrid search while gaining expertise in operational aspects like monitoring and CI/CD. Plus, learn to use GitHub Codespaces to build real-world applications that showcase modern AI engineering practices.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace.

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