This is the repository for the LinkedIn Learning course Generative AI at the Edge: Design, Deploy, and Optimize Generative AI Models. The full course is available from LinkedIn Learning.
In this course, tech leaders Karl Obinna Amalu and Kesha Williams present a hands-on learning experience, exploring the integration of Generative AI (GenAI) with edge computing using the Google Distributed Edge platform. Learn how to design, develop, deploy, and optimize AI models on edge devices, ensuring low latency and efficient performance, and discover opportunities to practice what you learn. Dive into model compatibility, deployment strategies, performance optimization, and ongoing management of edge AI deployments. Plus, gain insights into the broader landscape of edge computing and its applications. By the end of the course, you will have the skills to implement effective edge AI solutions in real-world scenarios.
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To use these exercise files, you must have the following installed:
- Hugging Face CLI
- Ollama / Ollama CLI
- Open WebUI
- Docker
- Git
- Pip
- Python
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Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
- Obinna Amalu
- Kesha Williams