Generative AI for Business
About This Course
Course Structure
- Introduction
- Architecture
- Prompt Engineering Basics
- Prompt Engineering Techniques
- RAG Basics
- RAG Techniques
- Single Agent
- Multi Agents
- Fine-tuning
- LLMOps
- Ethics
- Governance
Resources
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.
Trusted by Faculty from Leading Institutions
Loved by Our Students
"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 of 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."
Graduate Student, UConn MS BAPM
"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."
Graduate Student, UConn MS BAPM
1. Introduction to Generative AI
- Topics
- What is GenAI?
- GenAI Applications
- Customize GenAI for Business
- Readings & Resources
- Introduction to Generative AI (8min)
- Advances in artificial intelligence raise new ethics concerns (8min)
- Course Episodes
- Customize GenAI for Business
- Who is Buiding GenAI?
- Challenges for GenAI
2. Architecture
- Topics
- Deep Learning and Transformers
- Generating Images: Diffusion Models
- Building and Evaluating LLMs
- Building ChatGPT
- Beyond ChatGPT: Our Roadmap
- Readings & Resources
- Transformers (0:50-7:40, 7min)
- How ChatGPT Works Technically (8min)
- Course Episodes
- How are LLMs Trained
- Building ChatGPT
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
- Motivation for Prompt Engineering
- Typical Prompt Engineering Elements
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
- Zero-Shot, Few-Shot, and Chain-of-Thought
- LLM Parameters and System Prompts
5. Retrieval Augmented Generation (RAG)
- Topics
- RAG Introduction
- RAG Pipeline
- Embedding
- Vector Databases
- Readings & Resources
- AI Explained - AI LLM Retrieval-Augmented Generation (RAG) (4min)
- Vector Databases simply explained! (Embeddings & Indexes) (4:22)
- Course Episodes
- RAG Conceptual Model
- Embedding and Positional Encoding
- RAG Demo: Stammy
6. RAG Techniques
- Topics
- How RAG Can Go Wrong
- Advanced RAG Techniques
- RAG Evaluations
- Readings & Resources
- Hybrid Search from Dify
- Is Your RAG System Underperforming? 😫 Boost Results with Hybrid Search & Semantic Reranking NOW! (10min)
- Course Episodes
- Chunking
- Hybrid Search
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