Generative AI for the Resilient Pricer (Coursera)

Offered by Dartmouth College,
Generative AI for the Resilient Pricer (Coursera)

In this course we’ll address the concept of leveraging Gen-AI in various economic and operational circumstances to rapidly generate pricing insights. Disruption occurs at an ever-increasing pace, driving imperfect information, limited response time, and competing priorities. The commercial excellence discipline is one that requires a holistic approach to delivering results, and those who complete this course will come away with the understanding necessary to determine where to focus for maximum effect.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What you'll learn

  • The generative AI landscape and how it has evolved across industries
  • The ways generative AI intersects with pricing and how businesses can capitalize on this synergy
  • Best practices for for transitioning to generative AI-powered pricing models

Syllabus

Module 1 | Introduction to the Course
Welcome! This introductory 3-hour course will introduce the fundamentals of generative artificial intelligence (AI) and offer insights into how you can apply generative AI to pricing strategies in your own organization. This course is the first in a series of course collaborations between the Tuck School of Business at Dartmouth College and KPMG, a global leader providing business advisory services that address the toughest business challenges. Combining the academic rigor of Dartmouth with frontline case studies from KPMG executives, this course will expose you to best practices in generative AI-driven pricing strategies and will offer guidance in how your organization can transition to generative AI-powered pricing models.

Module 2 | Pricing Fundamentals
In this module, we'll embark on a journey to master the transformative role of Generative AI (Gen-AI) in strategic pricing, while also grounding our understanding in the fundamentals of traditional pricing approaches and their theoretical underpinnings. Starting with a solid foundation in conventional pricing strategies, we'll explore how to leverage high-quality, diverse data and implement robust governance to power effective AI-driven pricing models. We'll delve into ethical considerations, ensuring our use of AI in pricing is transparent, explainable, and aligns with the highest standards of fairness and privacy. As we navigate the complex regulatory landscape, we'll adapt our strategies to meet legal requirements, maintaining a competitive edge. By focusing on the seamless integration of Gen-AI into existing systems and fostering effective change management, this content aims to equip participants with the skills to innovate and continuously improve within their teams, embracing the advancements of Gen-AI in pricing with a commitment to excellence.

Module 3 | How Generative AI is Revolutionizing Pricing
In this module, we'll take a closer look at how pricing strategies are evolving from traditional models to more dynamic, Gen AI-driven approaches in response to today's ever-changing market conditions. We'll examine the significant role of Gen AI in enhancing decision-making and data analytics, providing deeper insights more quickly than was possible with older methods. Additionally, we'll explore how Gen AI is transforming market research, helping businesses to adjust their pricing strategies more effectively and respond with agility to market shifts. This session is designed to provide a practical understanding of the intersection between technology and pricing strategy, preparing you to navigate and succeed in an increasingly innovative business landscape.

Module 4 | Applications, Best Practices and Getting Started
In this module, we will explore the integration of generative AI into strategic pricing, starting with ensuring data quality and applying break-even analysis to evaluate the economic impact of new pricing strategies. We'll guide you through prioritizing rapid improvements in pricing decisions, utilizing generative AI to augment human expertise, and identifying key areas for its application to drive adaptive, responsive market strategies. As we navigate the challenges of implementing generative AI, we'll adopt an agile, learning-focused approach, encouraging iterative improvements and creative reimagining of traditional processes. Join us to discover how combining cutting-edge AI insights with foundational financial analysis can revolutionize your approach to pricing, setting the stage for informed, strategic decision-making in a competitive landscape.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Moving to the Cloud (Coursera) Coursera
University of Melbourne

Moving to the Cloud (Coursera)

The cloud is taking business by storm. In fact, due to the extraordinary growth of the cloud, it has been described as a tornado, not a fluffy white floating object! Commercial research analysts consider cloud as one of the most significant trends with a potential to change the whole global IT industry. Governments, including those in the US, Britain, and Australia, have cloud-first policies now in place which mandate cloud over non-cloud services in ICT procurement.

Sep 28th 2026
5-12 Weeks
GPT Vision: Seeing the World through Generative AI (Coursera) Coursera
Vanderbilt University

GPT Vision: Seeing the World through Generative AI (Coursera)

Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to "GPT Vision: Seeing the World Through Generative AI", a course designed to revolutionize how you interact with the world around you through the lens of Generative AI and photos.

Oct 5th 2026
2 Weeks
AI Materials (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

AI Materials (Coursera)

Learn about the materials that have advanced the performance of artificial intelligence, and the machine learning models that could help accelerate the design and development of novel materials. This course defines artificial intelligence (AI) as a machine to which some or all of the functions of the human brain have been delegated. It highlights the need, and explains in an easy-to-understand way how machine learning from artificial intelligence can dramatically accelerate the development of new materials.

Oct 5th 2026
5-12 Weeks
Artificial Intelligence for Breast Cancer Detection (Coursera) Coursera
Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection (Coursera)

Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.

Oct 5th 2026
4 Weeks
Finance For Everyone: Value (Coursera) Coursera
McMaster University

Finance For Everyone: Value (Coursera)

In Value, you will explore the most powerful generator of value in the world – ideas. Ideas are the engines of productivity, both in the private and public sectors. You will learn about the universal frameworks that determine how ideas and money interact, leading to the allocation of financial resources. We will identify components of cash flow for any project, business or venture as the most essential ingredients of value. We also assess the investment techniques used to give life to some ideas while killing others.

Oct 5th 2026
4 Weeks
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) (Coursera) Coursera
Columbia University

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) (Coursera)

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is a 12-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. Also, it has additional, optional modules on other topics of interest or relevance. Although we suggest to complete the course within a month's timeframe, the course is self-paced and so you can start and finish the course at anytime during a month's time period. No additional hardware or software are required for this course.

Sep 28th 2026
4 Weeks
AI for Efficient Programming: Harnessing the Power of LLMs (Coursera) Coursera
Fred Hutchinson Cancer Center

AI for Efficient Programming: Harnessing the Power of LLMs (Coursera)

This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.

Oct 5th 2026
4 Weeks
Responsible AI - Principles and Ethical Considerations (Coursera) Coursera
Fractal Analytics

Responsible AI - Principles and Ethical Considerations (Coursera)

Welcome to "Responsible AI – Principles and Ethical Considerations"! Dive deep into the very essence of Responsible AI with us. Uncover the significance of key principles shaping technology's future. From ethical considerations to fairness, transparency, and accountability, we discuss these principles with real-world examples, putting them into the context of data science.

Oct 5th 2026
5-12 Weeks