Generative AI Workshop

Course Overview

Join Professor KZ Zhang for an overview of recent developments in generative AI, including advanced Prompt Engineering for LLMs, multimodal LLMS (MLLMs), In Context Learning (ICL), Change of Thought (CoT) for complex tasks, and RAG (Retrieval Augmented Generation). Workshop participants will use cases and real-world examples with hands-on exercises to solve business problems.

The mission of this course is to equip participants with the skills they need to integrate generative AI into their workflows and master the latest AI trends without coding expertise.

Who should take this course?

While this course is intended for professionals and entrepreneurs eager to integrate AI into their workflows, individuals looking to master the latest AI trends without coding expertise, and business leaders seeking innovative solutions to operational challenges will benefit most.

What will you learn?

Session 1 (2 hours): Introduction to Generative AI and Large Language Models (LLMs). Understanding the theory behind LLMs and Multimodal LLMs (MLLMs) and their capabilities. Use cases and real-world examples with hands-on exercises.

Session 2 (2 hours): Advanced Prompt Engineering for LLMs and MLLMs. Understanding In Context Learning (ICL) and Change of Thought (CoT) for complex tasks. Building a customized LLM using your own data - RAG (Retrieval Augmented Generation). Use cases and real-world examples with hands-on exercises.

Session 3 (2 hours): Designing and deploying agentic workflows for business tasks. Building multi-agents for sequential and complex decision-making. Use cases and real-world examples with hands-on exercises. Responsible AI: Validating and refining responses from LLMs.