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Take advantage of new year's savings with up to 40% off ILT training.

Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296)

AI296 - 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.

Red Hat Learning Subscription COURSE – Included with Your Purchase

Starting January 1, 2026, Red Hat introduces RHLS-Course —a flexible subscription model now included with this catalog offering. This replaces the previous direct virtual class enrollment from Global Knowledge.

When you purchase this item, you’ll receive an RHLS subscription at the course level, giving you the freedom to choose the schedule that works best and self-enroll in your selected class.

Your RHLS subscription includes:

  • One live, instructor-led virtual session
  • 12 months of self-paced learning access
  • One certification exam with a free retake

Onsite Classroom-based sessions and closed course options remain unchanged.

GK# 832036 Vendor# AI296
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Who Should Attend?

  • 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.

What You'll Learn

After completing this course, learners should be able to:

  • Understand Generative AI Fundamentals: Capabilities, Challenges, Models, and Techniques
  • Use Granite Models For Enterprise Generative AI
  • Train Large Language Models with Red Hat Enterprise Linux AI
  • Deploy Trained Models with Red Hat Enterprise Linux AI

Course Outline

Generative AI Fundamentals: Capabilities, Challenges, Models, and Techniques

  • Define Generative AI, its importance, benefits, and challenges. Learn to select suitable GenAI and LLM models and techniques, considering their capabilities, use cases, and limitations.

Granite Models For Enterprise Generative AI

  • Describe and understand Granite models, and their capabilities to solve enterprise use cases, compared to larger, closed models.

Training Large Language Models with Red Hat Enterprise Linux AI

  • Enable technical and non-technical stakeholders to collaborate in the creation, training, and deployment of large language models (LLMs) optimized for specific business needs by using Red Hat Enterprise Linux AI and IBM Granite.

Deploying Trained Models with Red Hat Enterprise Linux AI

  • Deploy, serve, and operate generative AI models trained with Red Hat Enterprise Linux AI.
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Labs Outline
  • Labs are provided by RedHat for this course
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Prerequisites
  • A basic understanding of AI & ML is recommended but not required.
  • Familiarity with the Linux command line.

Confirmation of the correct skill set knowledge can be obtained by passing the online skills assessment at Red Hat Skills Assessment