Master AI Development: GitHub Models to Azure Deployment
Focused View
2:23:38
01 - AI with GitHub Models.mp4
01:10
01 - What is an LLM.mp4
05:29
02 - Tokenization.mp4
02:34
03 - Model sizes.mp4
02:01
04 - Limits of GitHub Models.mp4
03:29
05 - Content filters.mp4
01:48
06 - Prompting an LLM.mp4
04:46
07 - Different AI interaction modals.mp4
04:13
01 - Overview of the marketplace.mp4
03:08
02 - Exploring models on the marketplace.mp4
01:09
03 - Tags.mp4
03:25
04 - Model details.mp4
03:03
05 - Supported languages and SDKs.mp4
01:35
01 - Exploring the playground.mp4
07:36
02 - Running the examples locally.mp4
09:08
03 - What is a GitHub Codespace.mp4
05:02
04 - Getting started inside a GitHub Codespace.mp4
03:53
01 - Completions, streaming, and multi-turn.mp4
07:41
02 - Embeddings and functions.mp4
07:44
03 - Exploring the Jupyter Notebook examples.mp4
04:05
04 - Retrieval-augmented generation.mp4
06:45
05 - Data extraction transformation.mp4
07:16
01 - Architectural overview.mp4
10:09
02 - Rolling out Azure resources.mp4
17:17
03 - Validating the solution with the Azure resources.mp4
05:34
01 - Monitoring your solution in production.mp4
04:20
02 - Setting up rate limits.mp4
04:11
01 - Responsible AI.mp4
05:07
More details
Course Overview
Learn to prototype AI solutions with GitHub Models and scale them in Azure. This course with Rob Bos guides developers through the complete workflow from LLM experimentation to enterprise deployment.
What You'll Learn
- Work with LLMs in GitHub Models playground
- Implement retrieval-augmented generation and embeddings
- Deploy and monitor AI solutions in Azure
Who This Is For
- Azure developers exploring AI applications
- ML engineers prototyping with LLMs
- Cloud architects implementing AI solutions
Key Benefits
- Bridge GitHub experimentation with Azure production
- Master complete AI development lifecycle
- Learn enterprise deployment best practices
Curriculum Highlights
- LLM Fundamentals & GitHub Models
- AI Prototyping & Implementation
- Azure Deployment & Production
Focused display
Category
- language english
- Training sessions 28
- duration 2:23:38
- Release Date 2025/04/19
