Managing AI: Algorithms, Applications, and Agents

Explore how to apply AI, including agentic AI, to solve real-world challenges, evaluate opportunities and risks, and lead AI initiatives responsibly while keeping humans accountable.

Two people collaborating on a computer

Program Details

Dates:
-
Location: In Person: Minneapolis, MN
Cost: $3,850

About the Program 

Enhance your ability to leverage AI in creative, proactive, and socially responsible ways. 

AI literacy is an essential skill for today’s business leaders. Developing this capability requires addressing several critical questions: How do AI algorithms work? How can organizations use AI, including agentic AI, to solve real challenges? Why do Generative AI systems hallucinate? What should AI systems be allowed to see and do, and where do humans need to stay in the loop and accountable? What are the risks of AI, and how can they be reduced? 

 

Experience

Over two interactive days, you'll explore these questions with Professors Yuqing (Ching) Ren and De Liu through live demos, team exercises, case discussions, and use cases across finance, healthcare, marketing, and HR. You’ll leave with a detailed roadmap for: 

  • Understanding how major AI algorithms work
  • Proposing and evaluating AI initiatives
  • Building an AI-ready infrastructure and culture
  • Deciding what agentic AI can access and change 
  • Keeping humans accountable 
  • Addressing the ethical and social challenges of AI as it evolves

 

Learn how you can customize this program for your organization.

Program Contacts

Carmen Eide
Carol Roecklein

Who Should Take This Course & Why

  • Senior managers, directors, VPs, and C-Suite leaders seeking to deepen their understanding of and strategic thinking around AI
  • No prior technical experience required 

  • Explore the capabilities and limits of major AI algorithms
  • Design AI initiatives that automate or improve organizational processes 
  • Evaluate AI initiatives and recommend possible enhancements
  • Determine what agentic AI should be able to access and change, and how to keep people accountable
  • Prepare for the future of AI for yourself and your organization

Additional Ways to Participate 

Schedule

Day 1 MORNING

Session Overview

  • CNN, RL, & AI Applications in Finance & Healthcare: Explore the workings of Convolutional Neural Networks (CNN) and Reinforcement Learning (RL) as well as the applications of AI in finance, accounting, and healthcare.
     
     
Day 1 AFTERNOON

Session Overview

  • LLM, RAG, & AI Applications in Marketing & HR: Learn how Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Recurrent Neural Networks (RNN) work. Explore applications of AI in marketing and HR.
Day 2 MORNING

Session Overview

  • Agentic AI for Leaders: Through a hands-on business case, learn what distinguishes an AI agent from a chat assistant, why knowledge infrastructure matters as much as the model, and how to design the division of labor and decision rights between people and AI. 

Day 2 AFTERNOON

Session Overview

  • Risks, Challenges, & The Future of AI: Discuss the ethical and social challenges of AI, including governance, platform competition, Explainable AI, AI hallucination, environmental impact, job displacement, superintelligence, and the future of AI and humanity. 

Day 1 MORNING

Session Overview

  • CNN, RL, & AI Applications in Finance & Healthcare: Explore the workings of Convolutional Neural Networks (CNN) and Reinforcement Learning (RL) as well as the applications of AI in finance, accounting, and healthcare.
     
     
Day 1 AFTERNOON

Session Overview

  • LLM, RAG, & AI Applications in Marketing & HR: Learn how Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Recurrent Neural Networks (RNN) work. Explore applications of AI in marketing and HR.
Day 2 MORNING

Session Overview

  • Agentic AI for Leaders: Through a hands-on business case, learn what distinguishes an AI agent from a chat assistant, why knowledge infrastructure matters as much as the model, and how to design the division of labor and decision rights between people and AI. 

Day 2 AFTERNOON

Session Overview

  • Risks, Challenges, & The Future of AI: Discuss the ethical and social challenges of AI, including governance, platform competition, Explainable AI, AI hallucination, environmental impact, job displacement, superintelligence, and the future of AI and humanity. 

Register Today!

Dates:
-
Cost: $3,850
Dates:
-