Fundamentals of AI Engineering: Principles and Practical Applications
With Vinoo Ganesh
Liked by 74 users
Duration: 4h 3m
Skill level: Intermediate
Released: 6/6/2025
Course details
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.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Dr. Bujjibabu Penumutchi
Dr. Bujjibabu Penumutchi
Assistant Professor at Aditya University, Senior Member-IEEE, F-IETE, VLSI DESIGN Teacher,
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Muhammad Salihu
Muhammad Salihu
Executive Senior Software Engineer at SMARTFLOW with expertise in Software, AI and data engineering.
Contents
What’s included
- Learn on the go Access on tablet and phone
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