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

Target group

• 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.

Course structure

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.