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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.
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What You'll Learn

Impact on the Organization

Organizations collect and store vast amounts of information from multiple sources. With Red Hat Enterprise Linux AI, organizations can enhance their ability to securely train and deploy large language models (LLMs) tailored to their specific business requirements.

Impact on the Individual

As a result of attending this course, you will comprehend the fundamentals of generative AI. You will be able to understand the capabilities of the Granite models to solve enterprise use cases. Finally, you will be able to train, deploy, and serve large language 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.
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Prerequisites

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

Learning Journey

Coming Soon...

Module 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.

Module 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.

Module 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.

Module 4: 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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Frequently Asked Questions (FAQs)

  • Why get Red Hat certified?

    Red Hat certifications are highly respected in the IT industry and validate your expertise in open source technologies, particularly Red Hat Enterprise Linux (RHEL) and Red Hat OpenShift.

    These certifications demonstrate your ability to design, deploy, and manage complex enterprise environments using Red Hat solutions, increasing your value to employers and opening doors to a wide range of career opportunities.

  • What to expect for the examination?

    Red Hat certification exams are performance-based, meaning you'll be evaluated on your ability to perform real-world tasks in a live environment.

    This ensures that you not only understand the theoretical concepts but also have the practical skills to apply them.

    Note: Certification requirements and policies may be updated by Red Hat from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Red Hat certification valid for?

    Red Hat certifications are current for three years.

    According to Red Hat, these certifications do not “expire”, or become “terminated” or “invalid”, but they can become “non-current”.

    There are different ways to keep a certification current, depending on the type of certification. You always have the option of retaking an exam to renew its associated certification.

    In some instances, you can earn other certifications to keep your certification current. This approach allows IT professionals to expand their skills and knowledge into new areas, which is increasingly important for a successful IT career.

    Note: Certification requirements and policies may be updated by Red Hat from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

Course Curriculum

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Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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Improve yourself and your career by taking this course.

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