Generative AI for Business
About This Course
Course Structure
About This Course
This course is designed for business students. Drawing from our experience teaching in-person, online, and hybrid formats in graduate programs at the University of Connecticut and the University of Cincinnati, we’ve learned three key lessons:
- Students lack engaging, structured resources on Generative AI.
- Understanding GenAI doesn't require advanced coding skills.
- Using GenAI effectively doesn’t have to be expensive.
We’re excited to share our course content below. Each module includes topics, curated reading materials, and episodes from our course to provide a comprehensive learning experience. Don’t just take our word for it—explore what our students have to say through their testimonials.
"This class has truly broadened my understanding of AI's potential, and I feel more confident in my ability to create innovative solutions that can make a real impact."
- Likhitha Guggilla, UConn MS BAPM Student
"This was a fantastic class, and the professor was incredible. I learned so much coming into this class with very little knowledge of AI, and now feel prepared to expand my understanding."
- Graduate Student, U Cincinnati
"Professor Wei Chen's AI class was an unforgettable experience. His expertise in artificial intelligence and practical approach to teaching made complex ideas feel approachable and engaging."
- Biao Wang, UConn MS BAPM Student
"I did not imagine I would get the opportunity to learn first-hand how to create GenAI models before graduating and open the black box behind its working."
- Nishita Rao, UConn MS BAPM Student
1. Introduction to Generative AI
The first module introduces the fundamental concepts and applications of Generative AI. Below is a 3-minute podcast that gives you a quick overview of the course.
- Topics
- What is GenAI?
- GenAI Applications
- Customize GenAI for Business
- Readings & Resources
- Transformers (0:50-7:40, 7min)
- How ChatGPT Works Technically (8min)
- Course Episodes
- Introduction to Generative AI
2. Architecture
The first module introduces the fundamental concepts and applications of Generative AI. Below is a 3-minute podcast that gives you a quick overview of the course.
- Topics
- Deep Learning and Transformers
- Building and Evaluating LLMs
- Building ChatGPT
- Generating Images
- Beyond ChatGPT: Our Roadmap
- Readings & Resources
- Transformers (0:50-7:40, 7min)
- How ChatGPT Works Technically (8min)
- Course Episodes
- Introduction to Generative AI
3. Prompt Engineering Basics
- Topics
- Intro to Prompt Engineering (PE)
- Core Elements of PE
- Few-Shot Learning
- Chain-of-thoughts
- Readings & Resources
- Master the Perfect ChatGPT Prompt Formula! (8min)
- Course Episodes
- To be updated
4. Prompt Engineering Techniques
- Topics
- Advanced PE Techniques
- System and User Prompts
- Prompt Injection
- LLM Parameters
- Readings & Resources
- What Is Chain-of-Thought Prompting in Generative AI? (3min)
- Coding with OpenAI o1 (3min)
- Course Episodes
- To be updated
5. Retrieval Augmented Generation (RAG) Basics
- Topics
- RAG Introduction
- RAG Pipeline
- Embedding
- Vector Databases
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
6. Retrieval Augmented Generation (RAG) Techniques
- Topics
- How RAG Can Go Wrong
- Advanced RAG Techniques
- RAG Evaluations
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
7. Single Agent
- Topics
- Agentic Systems
- Agentic System Architecture
- Single-Agent Architecture
- Buidling GenAI Agents
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
8. Multi Agent
- Topics
- Agentic Workflow
- Buidling Agentic Workflow
- Multi-agent Collaboration
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
9. Fine-tuning
- Topics
- Fine-tuning Introduction
- Fine-tuning or Not
- Fine-tuning Techniques
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
10. LLMOps
- Topics
- LLMOps Introduction
- LLMOps Processes
- LLMOps Infrastructure
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
11. Ethics
- Topics
- The Danger of Hallucination
- Intellectual Property Risks
- Security and Biases
- Readings & Resources
- To be updated
- Course Episodes
- To be updated
12. Governance
- Topics
- Model Transparency
- Data Privacy
- Future of Work
- Readings & Resources
- To be updated
- Course Episodes
- To be updated