AI students in this capstone course will acquire practical experience through building and applying artificial intelligence for edge applications. You will be guided to design, develop, and deploy an enterprise use case for delivering edge intelligence using a NVIDIA Jetson Nano development system (or something similar). With access to an AI systems lab conveniently located near our Silicon Valley campus, you’ll have the opportunity to use leading edge AI computing stack hardware. This is the course where you put your knowledge about the business of AI technology together to show what you’ve learned in this specialization.

Takeaways

Understanding of software and hardware trade-offs that affect utilizing machine learning for edge applications

Development of intelligent edge device application utilizing machine learning techniques

Skills Needed

Solid knowledge of computer hardware and software, and machine learning techniques

Practical knowledge of programming using Python or C/C++ as well as of implementation of machine learning applications.