Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI
Official partner
Red Hat
Course Description
An introduction to fine-tuning, serving, and using generative AI models with Red Hat Enterprise Linux AI.
Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296) provides students with the fundamental knowledge about how to fine-tune, serve, and use generative AI models tailored to specific business needs. This course helps students build core skills to train models in a secure and private environment.
This course is based on Red Hat Enterprise Linux AI 1.5.
Course Summary
Generative AI Fundamentals: Capabilities, Challenges, Models, and Techniques
Granite Models For Enterprise Generative AI
Training Large Language Models with Red Hat Enterprise Linux AI
Deploying Trained Models with Red Hat Enterprise Linux AI
Prerequisites for this course
A basic understanding of AI & ML is recommended but not required.
Familiarity with the Linux command line.
Audience for this course
Data Scientists and AI specialists who want to learn more about Granite models and the process of training and aligning GenAI models for specific business requirements.
Developers with basic AI/ML knowledge or machine learning engineers who are interested in learning how to develop, test, and run AI-based enterprise applications in an enterprise and secure environment.
System administrators who are interested in learning how to manage the company’s hybrid cloud infrastructure to boost the adoption of generative AI and LLMs, while enforcing security policies.
Other professionals, such as SMEs and domain experts, who are interested in learning how to contribute to the training of secure models tailored to their business needs.