Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI - Red Hat Learning Subscription (AI296LS)
Put IBM Granite models to work for enterprise generative AI on Red Hat Enterprise Linux AI.
About this course
Put IBM Granite models to work for enterprise generative AI on Red Hat Enterprise Linux AI. You will learn the capabilities, challenges and selection of GenAI models, compare Granite with larger closed models for business use cases, train large language models tuned to specific needs with input from technical and non-technical colleagues, and then deploy, serve and operate them.
What you'll learn
- 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
Curriculum
- 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.
- Describe and understand Granite models, and their capabilities to solve enterprise use cases, compared to larger, closed models.
- 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.
- Deploy, serve, and operate generative AI models trained with Red Hat Enterprise Linux AI.
Who it's for
Linux professionals, AI engineers and technical teams adopting generative AI on Red Hat infrastructure.
Before you start
- A basic understanding of AI & ML is recommended but not required.
- Familiarity with the Linux command line.
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