Developing Custom Large Language Models
Developing Custom Large Language Models
Executive Education
Unlock the future of AI with custom large language models tailored to your unique business needs, driving innovation, efficiency, and personalized experiences like never before.
Overview
This course is designed to empower participants with the skills and knowledge necessary to develop custom Large Language Models (LLMs) from scratch, leveraging existing models. Through a blend of lectures, hands-on exercises, and project work, participants will learn the end-to-end process of building, training, and deploying LLMs.
The course is structured into four modules, culminating in a final project presentation where participants showcase their custom models. The scope and depth of the course content can be adjusted for participants with less technical experience than the skills outlined in the prerequisites section.
Outcomes
Learning Outcomes
Understand the fundamental concepts and architectures of LLMs.
Acquire skills in data collection, cleaning, and preprocessing for LLM training.
Learn to modify and fine-tune existing LLM architectures for custom applications.
Develop expertise in training and deploying scalable LLMs.
Gain insights into troubleshooting and optimizing LLM performance.
Complete a custom LLM project, demonstrating the ability to apply course concepts in practice.
Training Methodology
- Programs are delivered by international subject matter experts.
- Modules are designed to use the most practical approach to deliver the course, using the most effective learning techniques.
Participants will be involved in an interactive actual practice:
- Case studies discussion
- Class room activities
- Team learning techniques
- Project work
- Use of adept tools on various topics covered in the program
- Access to research tools on various repository on the subject
- Lecture modules delivered by subject matter experts
Subject Matter Experts
Bas Boorsma
Professor of Experience, Associate at RIT Dubai
Founder Urban Innovators Inc. Former Cisco, Former CDO of Rotterdam
Bas is a leading expert in urban innovation and digitalization with 23 years of experience in the 'smart city' sector. He served as the Chief Digital Officer (CDO) for the City of Rotterdam, focusing on driving innovation in collaboration with the municipality. He is the Founder and Partner of Urban Innovators Inc. and Chairman of Venturerock Urban Italy, as well as a Professor of Practice at Arizona State University's Thunderbird School of Global Management.
Roni Bülent Özel
Guest Faculty, the Delft University of Technology
Co-founder/Co-CEO, Green Unifying Scenarios
Roni, a holder of two Ph.D.’s, excels in integrating business, technology, science, and policy-making. As a hands-on architect of complex systems, he has played a pivotal role in establishing several startups. He is the co-founder and chair of Lucidminds AI, an R&D collective focused on urban and climate-related innovations. He also co-founded Green Unifying Scenarios, offering AI-based tools for nature-based climate projects.
Tudor-Alexandru Panait
Chief Technology Officer, Pickado Enablement
Technical Training Specialist, Lenovo USA
Motivated by the love for technology and education, Tudor-Alexandru has a broad range of skills in programming, technical training, digital marketing, and leading organizations. He is skilled in developing effective learning programs and introducing new technology to achieve success in various areas.
Register
For inquiries and registration, please contact: executiveeducation@rit.edu