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

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK & Norway Based Global Training Provider

Gain essential hands-on experience in fine-tuning, deploying, and utilizing generative AI models through Red Hat Enterprise Linux AI.

The course “Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296)” offers foundational knowledge on how to customize, host, and apply generative AI models that meet specific business requirements. Participants will develop practical skills to train models within a secure, private, and enterprise-ready environment.

This course content is aligned with Red Hat Enterprise Linux AI version 1.5.


Impact on Organizations

By leveraging Red Hat Enterprise Linux AI, enterprises can safely develop and deploy customized large language models built around their data and security requirements—empowering smarter automation, analytics, and decision-making.


Impact on Individuals

After completing this course, you will:

  • Understand the foundations of generative AI
  • Recognize the strengths of Granite models in enterprise use cases
  • Gain the ability to train, deploy, and serve LLMs securely with Red Hat Enterprise Linux AI
We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

  • A basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts (recommended, not mandatory).

  • Familiarity with Linux command-line operations.

Who Should Attend

This course is designed for:

  • Data Scientists and AI Engineers interested in learning about Granite models and fine-tuning methods for business applications.

  • Developers and ML Practitioners seeking to build, test, and operate AI-driven enterprise solutions securely.

  • System Administrators managing hybrid cloud infrastructures and integrating generative AI workflows with compliance and security in mind.

  • Business Experts and SMEs contributing to AI model training aligned with their organizational goals.

What You Will Learn

  • Generative AI Essentials: Learn about key capabilities, challenges, and leading model architectures.

  • Granite Models in Enterprise AI: Explore how Granite models address real-world enterprise scenarios.

  • Training LLMs with Red Hat Enterprise Linux AI: Understand the processes behind model training and fine-tuning.

  • Deploying Custom Models: Learn how to serve and manage trained generative AI models efficiently.

Training Outline

1. Generative AI Fundamentals
Discover what generative AI is, why it matters, and how to identify the right models and techniques for various use cases.

2. Granite Models for Enterprise AI
Explore the Granite model suite and how it compares to larger, closed models for solving enterprise-level challenges.

3. Training Large Language Models (LLMs)
Collaborate across technical and non-technical teams to train business-specific LLMs using Red Hat Enterprise Linux AI and IBM Granite.

4. Deploying Trained Models
Learn to deploy, serve, and manage fine-tuned generative AI models using Red Hat’s secure AI infrastructure.

Why Choose Us

Experience Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296) in Norway through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Norway and worldwide, with flexible planning options for individual and corporate training needs.

Experience Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296) in a focused classroom environment in Norway. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296) in Norway solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI296) Training Course in Norway Schedule

Join our public courses in our Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
03 juli 2026 (3 Days)
Oslo, Bergen, Stavanger
07 juli 2026 (3 Days)
Oslo, Bergen, Stavanger
09 juli 2026 (3 Days)
Oslo, Bergen, Stavanger
17 september 2026 (3 Days)
Oslo, Bergen, Stavanger
24 september 2026 (3 Days)
Oslo, Bergen, Stavanger
03 oktober 2026 (3 Days)
Oslo, Bergen, Stavanger
31 oktober 2026 (3 Days)
Oslo, Bergen, Stavanger
20 november 2026 (3 Days)
Oslo, Bergen, Stavanger

Norway represents a pinnacle of digital integration, with Oslo, Bergen, and Stavanger leading the way in sustainable technology and maritime informatics. Oslo, the economic and governmental hub, is home to the University of Oslo, an institution that has been a catalyst for scientific research since 1811. The Norwegian tech sector is characterized by its early adoption of green-tech and advanced automation within the energy sector. Our training initiatives in Norway focus on delivering high-level IT skills that align with the country's high standards for digital governance and environmental sustainability. By fostering a deep understanding of software architecture and cybersecurity, we support Norway's transition into a fully digitized, carbon-neutral economy through professional excellence.

Bilginç IT Academy All Rights Reserved

By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.