AI Enablement Module 3B: Advanced LLMs – APIs, RAG, and Custom Workflows
Date: TBD
Intermediate technical workshop: Move beyond basic LLM usage by integrating models into customized research or workflow pipelines
AI Enablement Module 4B: AI-Assisted Coding – Programming for Non-Programmers
Date: TBD
Hands-on workshop: Learn how non-programmers and occasional coders can use AI tools like GitHub Copilot, Claude, and Replit AI.
AI Enablement Module 2B: Prompt Engineering – Skill-Based Training for LLMs
Date: TBD
Hands-on workshop: Learn to use LLMs effectively with practical prompting. This module will cover prompting strategies, reusable prompt templates, and batch prompt processing using APIs.
AI Enablement Module 1B: Introduction to AI and Machine Learning
Date: TBD
Hands-on workshop: Learn how non-programmers and occasional coders can use AI tools like GitHub Copilot, Claude, and Replit AI.
AI Enablement Module 5: Custom LLMs and Fine-Tuning – Advanced technical session with Research Computing
Date: TBD
Learn how to build, fine-tune, and deploy custom AI models using UMass Amherst’s Unity Research Computing Platform’s infrastructure.
AI Enablement Module 4A: AI-Assisted Coding – Programming for Non-Programmers
Date: TBD
Hands-on workshop: Learn how non-programmers and occasional coders can use AI tools.