- Course overview
- Course details
- Prerequisites
Course overview
About this course
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.
Audience profile
- 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.
At course completion
- 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
Course details
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Module 1.Generative AI Fundamentals: Capabilities, Challenges, Models, and Techniques
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Module 2. Granite Models For Enterprise Generative AI
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Module 3.Training Large Language Models with Red Hat Enterprise Linux AI
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Module 4. Deploying Trained Models with Red Hat Enterprise Linux AI
Prerequisites
- A basic understanding of AI & ML is recommended but not required.
- Familiarity with the Linux command line.
Enquiry
Course : Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI
Enquiry
request for : Develop, Test, and Run Granite Family LLMs with Red Hat Enterprise Linux AI
