Course Description
An introduction to Red Hat Enterprise Linux AI
This free Technical Overview describes Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform used to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications
Course summary
Explore how RHEL AI can support your enterprise's journey into generative AI and large language models (LLMs). In this comprehensive technical overview, Taylor Jordan Smith, Technical Marketing Manager at Red Hat, provides insights into how RHEL AI addresses common challenges in adopting AI, such as cost, data transparency, and deployment complexity
Gain a deeper understanding of the Granite family of models, InstructLab's accessible fine-tuning tools, and structured workflows designed for scalable, business-specific AI applications. Through a step-by-step demonstration, see how RHEL AI simplifies the process of configuring, training, and deploying AI solutions, enabling your organization to align AI capabilities with proprietary data and specialized use cases
Outline for this course
- Red Hat Enterprise Linux AI Technical Overview
- Navigating the Generative AI Landscape
- Understanding Large Language Models (LLMs)
- Introducing Image Mode for RHEL
- Overview of InstructLab
- Configuring InstructLab on RHEL AI
- Serving and Chatting with Granite Models
- Adding Data to the Model
- Working with Synthetic Data
- Reviewing the InstructLab Training Workflow
Audience for this course
This training is ideal for anyone involved in the design, deployment, or optimization of enterprise AI solutions, particularly in organizations looking to leverage open-source platforms
Recommended training
- There are no prerequisites for this Technical Overview
Technology considerations