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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.
Target Audience
  • 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.
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Prerequisites

  • A basic understanding of AI & ML is recommended but not required.
  • Familiarity with the Linux command line.
  • Technology considerations
  • For virtual, self-paced, and classroom learners:
  • Internet access is required
  • Labs are performed in Red Hat's Online Learning Environment
  • For classroom learners, Red Hat may make available in the future a locally installed classroom environment as an alternative.
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Delegates will learn how to

  • 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
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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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Why choose QA

Need to know

Frequently asked questions

How can I create an account on myQA.com?

There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.

If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".

If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.

Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.

Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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