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

Price
$2,350.00 USD

Duration
3 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

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 Objectives

  • 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

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.
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Course Prerequisites

  • A basic understanding of AI & ML is recommended but not required.
  • Familiarity with the Linux command line.

Agenda

1 - 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.

2 - Granite Models For Enterprise Generative AI

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

3 - 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.

4 - Deploying Trained Models with Red Hat Enterprise Linux AI

  • Deploy, serve, and operate generative AI models trained with Red Hat Enterprise Linux AI.
 

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

 



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