Course
digicode: AI296C
Develop, Test, and Run Granite Family LLMs with RHEL AI – RHLS Course
Course facts
Download as PDF- Understanding how to fine-tune, serve, and use generative AI models tailored to specific business needs
- Building core skills to train models in a secure and private environment
- Defining Generative AI, including its importance, benefits, and challenges
- Selecting suitable GenAI and LLM models and techniques based on capabilities, use cases, and limitations
- Describing Granite models and their capabilities for solving enterprise use cases compared to larger, closed models
- Enabling technical and non-technical stakeholders to collaborate on the creation, training, and deployment of optimized LLMs using Red Hat Enterprise Linux AI and IBM Granite
- Deploying, serving, and operating generative AI models trained with Red Hat Enterprise Linux AI
This course 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.
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.
- 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.
- A basic understanding of AI & ML is recommended but not required
- Familiarity with the Linux command line