Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI-296)
Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI-296) equips data scientists, developers, and system administrators with skills to fine-tune, serve, and deploy secure, enterprise-grade generative AI models. This course solves the critical challenge of implementing private, governed LLMs in hybrid cloud environments, where 70% of enterprises now prioritize AI deployment. Learners gain hands-on experience training Granite models on Red Hat Enterprise Linux AI 1.5, ensuring alignment with specific business needs while maintaining data sovereignty.
This course prepares learners for the Red Hat Certified Developer in AI (EX267) exam. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, enabling practical mastery. Graduates are positioned to lead secure AI initiatives and advance into roles like AI Specialist or MLOps Engineer.
Training Formats & Pricing
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Course Overview
The Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI-296) course by Red Hat is designed for data scientists, developers, and system administrators seeking to master enterprise-grade generative AI deployment. This hands-on training equips learners with core skills to fine-tune, serve, and operate IBM's Granite family of large language models (LLMs) using Red Hat Enterprise Linux AI, preparing them for the Red Hat Certified Specialist in OpenShift AI exam (EX267). With enterprises increasingly adopting secure, private AI models—73% of Fortune 500 companies now prioritize on-premises LLM deployment according to Red Hat’s 2024 AI Adoption Report—this course meets critical demand for professionals who can align AI with business-specific needs while enforcing governance.
Students gain practical experience with key technologies including Red Hat Enterprise Linux AI 1.5, InstructLab, vLLM inference server, Granite 7B models, and systemd for service management. Through guided labs conducted on a bootable RHEL AI environment, participants configure model serving, perform synthetic data generation, and complete an end-to-end project to fine-tune a Granite model using curated datasets. A real-world scenario involves deploying a secure, domain-specific chatbot for internal IT support, demonstrating how to serve models via API endpoints while maintaining compliance and performance across hybrid cloud infrastructures.
This course prepares learners for the industry-recognized Red Hat Certified Specialist in OpenShift AI certification, a credential that aligns with roles commanding average salaries of $145,000 in North America. Koenig Solutions enhances this training with its Guaranteed-to-Run scheduling, ensuring every public batch proceeds even with a single registrant, backed by official Red Hat courseware and expert instruction. By completing the Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI-296) program, professionals position themselves to lead secure, scalable AI initiatives that drive digital transformation and deliver measurable business value.
What You'll Learn
Skills You'll Gain
Prerequisites
- Hands-on experience with Linux command-line administration using Red Hat Enterprise Linux, essential for developing, testing, and running Granite Family LLMs with Red Hat Enterprise Linux AI (AI-296)
- Understanding containerization concepts and managing containers on RHEL is crucial for deploying and scaling large language models efficiently
- Proficiency with Git for version control and collaborative notebook management ensures smooth teamwork during AI model development
- Knowledge of the Jupyter Notebook ecosystem and data science workbench operations helps streamline model experimentation and deployment
- Fundamental understanding of machine learning workflows and model training in Python is vital for building effective Granite Family LLMs
- Experience with Red Hat OpenShift AI or similar AI/ML platform management is highly beneficial for deploying and maintaining large language models in enterprise environments
Certification Exam
Everything you need to know about the AI-296 certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Generative AI Fundamentals
2
Day 2– Granite Models for Enterprise AI
3
Day 3– Training Large Language Models
4
Day 4– Deploying Trained Models
5
Day 5– Model Operations and Security
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of AI-296 certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the AI-296 certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- AI Engineer
- LLM Developer
- Generative AI Specialist
- Red Hat Enterprise Linux AI Engineer
- Machine Learning Operations Engineer
- AI Infrastructure Engineer
Companies Hiring
and 5,000+ organizations worldwide seeking AI-296 certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
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“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified
-
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the AI-296 training course
Is the certification exam included in the Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI (AI-296) course fee?
What training formats does Koenig offer for AI-296, and is there a Guaranteed-to-Run option?
How long is lab access provided, and what environment is used for AI-296 labs?
What is Koenig's rescheduling and cancellation policy for AI-296 training?
What is the format, number of questions, passing score, and time limit for the AI-296 certification exam?
How long is the Red Hat AI-296 certification valid, and what is the renewal process?
What post-training support does Koenig provide after completing the AI-296 course?
What are the prerequisites or experience needed for the AI-296 course?
What salary increase or career impact can AI-296 certification provide?
How does AI-296 compare with self-study options for learning Red Hat AI technologies?
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