AI Engineering Use Cases and Projects on AWS: Production-Grade LLM Systems
AI Engineering Use Cases and Projects on AWS: Production-Grade LLM Systems
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 46m | 90.99 MB
Instructor: Noah Gift
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 46m | 90.99 MB
Instructor: Noah Gift
Discover the intricate architecture of production-level large language models (LLMs) using Rust on AWS. Instructor Noah Gift covers an array of key topics, including the Ollama DeepSeek-R1, Claude, and other cutting-edge LLM systems, as well as open-source strategies and multimodel workflows. Along the way, get hands-on experience with YAML prompts and proxy routing to optimize your language models. Designed for AI engineers, developers, and tech enthusiasts, this course provides the skills necessary to advance your expertise in AI and machine learning. By the end of this course, you’ll be prepared to deploy and scale sophisticated language models in a production-grade environment, staying ahead of the curve in the rapidly evolving field of AI.
AI Engineering Use Cases and Projects on AWS: Production-Grade LLM Systems
