Cutting Edge MLOps from Zero with Hugging Face and OpenAI
Duration: 2h 52m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 590 MB
Genre: eLearning | Language: English
Duration: 2h 52m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 590 MB
Genre: eLearning | Language: English
This video course takes you from zero all the way to building solutions using MLOps. First the theory of MLOps is explained, then you will learn how to build a MLOps style solution from scratch using Hugging Face and OpenAI. You will also learn to use AI tools like Github Copilot, Hugging Face Spaces, and OpenAI Codex.
Learning Objectives
Learn to use Github Codespaces and customize your environment with devcontainer.json
Learn the foundations of MLOps
Explore new topics in the upcoming book Enterprise MLOps by O'Reilly
Learn to use Github Actions to test AI projects
Learn to use Github Copilot to write code for both Hugging Face and OpenAI
Learn to build AI solutions using GPT-3