Artificial Intelligence
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Artificial Intelligence Professional Training Course Offerings
Upcoming schedule for instructor-led, live, online courses.
- Generative AI in Business: Applications, Challenges, Ethics and Governance: Feb. 19, 21, 26 & 28, 2025
Learn more and register - Generative AI in Business: Applications, Challenges, Ethics and Governance: Apr. 22, 24, 19 & May 1, 2025
Learn more and register
Jeff Shaffer’s expertise in Generative AI is unparalleled. His recent course on GenAI was transformative, providing invaluable insights and practical applications that have significantly enhanced organizations understanding of Foundational Concepts for Generative AI Applications. The Cincinnati AI ecosystem is fortunate to have Jeff’s as a voice for Generative AI.
Jonathan Paul, VP, Director IT, AI & Data Governance, Fifth Third Bank
Generative AI in Business: Applications, Challenges, Ethics and Governance
Course Overview:
Open to all. No prior experience required.
Certificate of Completion is given at the conclusion of class.
This course is designed to explore the emerging field of Generative AI (GenAI) with a focus on its application in data analytics. We will delve into the fundamental concepts of generative models, such as GPT, BERT and diffusion, and examine their capabilities in various domains including translation, classification, text and image generation, and more. Additionally, the course will cover critical discussions on the governance and ethics of GenAI systems, addressing the societal, ethical, and regulatory implications of these technologies.
Course Outline:
- Introduction to Generative AI
- Understanding GenAI
- Evolution of AI models
- Overview of Generative Pretrained Transformers (GPT) and their impact
- Foundational Concepts
- Transformer models: Encoder, Decoder, and Attention Mechanisms
- Difference between models: BERT vs. GPT
- Introduction to tokenization
- Vector databases
- Generative AI Applications
- Text Generation
- Summarization
- Translation and Classification
- AI in creative arts: from text to images
- Advanced Models and Platforms
- Overview of current generative AI models (ChatGPT, GPT-4, Claude 3, Llama2, Bard/PaLM 2, etc.)
- Introduction to Hugging Face and the Open LLM Leaderboard
- Comparative analysis of GenAI platforms
- Prompt Engineering and Applications
- Zero-shot and few-shot learning
- Chain-of-thought (CoT) prompting and Tree of Thoughts (ToT)
- Role-based and temperature settings in AI prompts
- Governance and Ethics of Generative AI Systems
- Understanding the ethical implications of GenAI
- Governance frameworks for AI
- Privacy, bias, and fairness in AI models
- Regulatory and societal impacts
- Case studies on ethical dilemmas
- Demonstrations and Hands-on Sessions
- Utilizing OpenAI's ChatGPT & Playground for advanced data analysis
- Integrating GenAI in workflow (Copilot - Excel, Word, PowerPoint)
- Building custom GPT models for specific tasks
- Business Use-Case Examples
- Discussion and demonstration of projects that apply generative AI techniques to real-world data analytics problems
- Practical implications of GenAI technologies
- Conclusion and Future Directions
- Reflection on the potentials and limitations of GenAI
- Discussion on the future trends in AI technologies
Instructor
Jeffrey A. Shaffer is the Director of the Applied AI Lab and the Kirk and Jacki Perry Professor of Analytics, as well as an Assistant Professor-Educator at the University of Cincinnati’s Carl H. Lindner College of Business.
He is known for his expertise in data visualization, analytics, artificial intelligence, and Tableau, Mr. Shaffer is an in-demand speaker at conferences, symposiums, and corporate training programs worldwide. He has taught data visualization extensively, including for the University of Cincinnati, the Center for Business Analytics, KPMG Advisory University and numerous Fortune 500 companies.
An accomplished data visualization specialist, Mr. Shaffer was a five-time Tableau Zen Master, earning him induction into the prestigious Tableau Visionary Hall of Fame in 2021. He is the co-founder and leader of the Cincinnati Tableau User Group and has been recognized in multiple Tableau contests, including Iron Viz, and the Tableau Quantified Self Visualization Contest.
He co-authored The Big Book of Dashboards, a renowned resource in data visualization, and curates TableauReferenceGuide.com. His blog, DataPlusScience.com, is a respected source of insights in the field, earning accolades from the Kantar Information is Beautiful Awards. Additionally, he co-hosts the award-winning data podcast Chart Chat, honored with the 2021 Data Literacy award for Most Interesting Data Podcast.
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