Generative AI for Business
Harness the power of breakthrough AI technology.
Enroll Now Customize for Organizations
At a Glance
- Enrollment:
- Open Enrollment
- Length:
- 2 Weeks
- Format:
- Online
- Investment:
-
$2,800
Upcoming Dates
August Start
Delivered in a live, executive format that maximizes your time with your instructor and peers, this course teaches you to think critically and systematically about the value and risk of generative AI in business.
Learn to design, execute, and scale generative AI projects that will transform your business.
Course topics weave an in-depth understanding of this technology together with real-world business cases in four pivotal areas where generative AI excels—customer service automation and personalization, supply chain management, marketing and sales, and engineering support.
Designed For
Designed for professionals who want to think critically about leveraging generative AI to accelerate productivity, streamline operations, ignite creativity, drive innovation, optimize investments, and elevate customer satisfaction in their organizations.
Is Your Organization Ready to Thrive in the AI Era?
Discover how our Generative AI for Business course can empower your team members to focus on more strategic and creative work.
Enroll TodayGenerative AI for Business Curriculum
After completing the course, you will be able to:
- Evaluate the business case for adopting generative AI in a range of domains, including marketing, supply chain, customer service, and engineering.
- Determine whether generative AI is a viable solution in a variety of business contexts.
- Develop your own roadmap for incorporating generative AI within your organization, including milestones, performance measurements, a resourcing plan, and a risk-mitigation strategy.
Upon successful completion of this course, participants will receive a credential certified by the University of Chicago.
Models You Will Explore
- Bard
- Bing Image Creator
- ChatGPT
- DALL-E
- Midjourney
- Perplexity
Live Online Course Format
- Two weeks in length.
- Four, ninety-minute live sessions.
- Supplementary self-paced asynchronous content.
Live Session Topics
Understand the fundamental concepts, applications, and impacts of generative AI. Develop a high-level understanding of the underlying technology used to create generative AI models. Explore the history of generative AI and its sudden rise to relevance in the modern world. Discern when generative AI should be applied as a scalable business solution. Learn to effectively measure and report on performance for AI-assisted assets. Learn about the final project due at the end of the course.
Explore and discuss real-world use cases in generative AI. Review AI developments in the customer service sector. Highlight the promises and pitfalls of this new technology. Survey the different technical strategies in implementing these new systems. Learn how AI is enhancing supply chain management. Examine examples such as forecasting, inventory optimization, route optimization, and waste reduction.
Continue analysis of real-world examples. Review AI implementation in marketing through seven use cases. Survey six key barriers preventing marketing teams from harnessing AI's full potential. Forecast the future for generative AI and software engineers. Discover how AI is enhancing software engineering today.
Understand real-world ethical considerations for generative AI as a whole and its use in business. Discuss important frameworks for maintaining technological tools with sustainability in mind. Consider the future of generative AI and related technologies as they continue to develop.
Earn a Credential in Generative AI for Business
After successful completion of this course, participants will receive credentials certified by the University of Chicago including a digital badge to recognize their achievement.
Meet Your Instructor
Our highly trained instructors are courageous thinkers and passionate leaders who leverage years of industry expertise and up-to-date knowledge of terminology, tools, and trends to deliver an unparalleled learning experience. Through their rigorous discourse, cross-disciplinary collaboration, and field-shaping contributions, they create practical solutions and pioneering innovations that enrich our world.
Patrick McQuillan, MBA
Analytics Executive and Strategy Consultant
Patrick McQuillan is passionate about data as a tool for change and decision-making. He has held leadership roles, most recently as the Global Head of Data Governance and Operational Effectiveness at Wayfair. Previously, he led international consulting teams to drive AI strategy and technology...
Generative AI Industry Outlook
As a tool of infinite capabilities, generative AI’s potential is poised to revolutionize whole industries. Already transforming the way we create art, music, and content, this cutting-edge technology is disrupting education, healthcare, logistics, manufacturing, product development, and more. The leaders of tomorrow will be those who understand generative AI's potential today, successfully leveraging it to their organizations' competitive advantage. Learning to adapt and embrace generative AI will help you navigate a rapidly expanding job market that requires skills in this emerging technology.
The position of generative AI among technologies most likely to impact business significantly.
The percentage of surveyed C-suite executives that say they are actively using generative AI business tools.
The increase in shares of global English-language job postings related to AI technologies such as GPT or ChatGPT since November 2022.
Potential Career Paths in Business-Applied Generative AI
- AI Art Director (Generative Techniques)
- AI Content Creator/Writer
- AI Developer (Generative Models)
- Augmented Reality (AR) Experience Developer (Generative AI)
- Creative AI Artist/Designer
- Data Scientist (Virtual Modeling)
- Deep Learning Specialist (Generative Algorithms)
- Generative AI Consultant
- Generative AI Ethicist/Ethics Analyst
- Generative AI Product Manager
- Generative Model Architect
- Inventory Manager
- Logistics/Transportation Manager
- Machine Learning Engineer (Generative AI)
- Natural Language Processing (NLP) Engineer (Generative AI)
- Sourcing Manager
- Supply Chain Project Manager
- Virtual Reality (VR) Experience Developer (Generative AI)
Offered by The University of Chicago's Professional Education
Of Interest
Artificial Intelligence and Data Science for Leaders
Ensure that your organization is future-fit in the digital age.
