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There are 2 modules in this course
In this course, we delve into the potential impact of GenAI on various facets of business with a particular focus on customer value creation and productivity. We’ll review research from leaders in academia and industry to understand emerging thinking on GenAI’s business impact. Imagine a future where GenAI not only drives business growth but also reshapes the very fabric of industry operations. That's the transformative power of GenAI. Guest expert Robert Brenner (University of Illinois) will share his thoughts on what’s coming next and the implications this might have for businesses.
We’ll build on this foundation to provide a framework for developing your generative AI strategy.
You will go hands-on to put the “Business Model Canvas” into action via the Coursera Playground, a private environment where you can leverage powerful large language models as a strategic thought partner. The provided prompts will guide you through the development of your GenAI strategy. This learn-by-doing approach will leave you with an actionable generative AI strategy and a deep appreciation of the power of generative AI as a thought partner.
Finally, the course will provide you with case studies on how Coursera has leveraged genAI to deliver customer value and productivity. You’ll hear about the teams we tapped to react with agility and the research we reviewed to guide our efforts. These case studies provide a blueprint for follow up work to turn your new strategy into reality.
This short course explores the impact of Generative AI on industries and jobs and guides executives through strategic planning for GenAI implementation. A significant emphasis is placed on providing tools for CEOs to thoroughly analyze the impact of GenAI on various aspects of their business. The course also explores how GenAI can create customer value and enhance organizational productivity, offering practical strategies for identifying productivity opportunities.
Potential impact of GenAI on jobs and people•10 minutes
Emerging use cases of GenAI in business•5 minutes
Navigating disruption (Robert Brunner, Univ of Illinois)•7 minutes
What is "strategy" and how do you do it?•7 minutes
Internal: How GenAI impacts Strengths & Weaknesses•11 minutes
External: How GenAI impacts Opportunities and Threats•4 minutes
GenAI makes competitive analysis critical•8 minutes
CEO toolkit: Using GenAI to keep your strategy agile•10 minutes
Identifying opportunities to create value•9 minutes
Coursera case study: Creating value with GenAI•3 minutes
Prototype and experiment to learn fast•10 minutes
Case study: Coursera analysis of productivity•10 minutes
7 readings•Total 67 minutes
What every CEO should know about GenAI•10 minutes
A selection of high-impact use cases across six major industries•10 minutes
The Potentially Large Effects of AI on Economic Growth•12 minutes
Revolutionizing industries with generative AI (Satya Nadella, Microsoft)•10 minutes
CEO toolkit: Template for 3-yr strategy context•5 minutes
Experience is everything•10 minutes
GPTs are GPTs: Labor market impact of LLMs•10 minutes
2 assignments•Total 20 minutes
Developing your strategic plan for GenAI•10 minutes
Using GenAI to create customer value•10 minutes
4 discussion prompts•Total 38 minutes
Adoption of GenAI in your industry•8 minutes
How will companies in your industry to do adapt?•10 minutes
How might GenAI create customer value?•10 minutes
Boosting productivity with GenAI•10 minutes
14 ungraded labs•Total 112 minutes
Analyze threats and opportunities of GenAI•8 minutes
Analyze how GenAI might create customer value•8 minutes
Use GenAI to analyze competitive dynamics•8 minutes
Analyze how GenAI might impact your Customer Segments•8 minutes
Analyze how GenAI might impact your Acquisition Channels•8 minutes
Analyze how GenAI might impact your Customer Relationships•8 minutes
Analyze how GenAI might impact your Partner Relationships•8 minutes
Analyze how GenAI might impact your Key Activities•8 minutes
Analyze how GenAI might impact your Key Resources•8 minutes
Analyze how GenAI might impact your Revenue Streams•8 minutes
Analyze how GenAI might impact your Cost Structure•8 minutes
Use GenAI to suggest trend categories•8 minutes
Use GenAI to find ways to create value•8 minutes
Use GenAI to find ways to improve productivity•8 minutes
CEO Toolkit: Critical insights to keep your strategy agile
Module 2•1 hour to complete
Module details
This module is a collection of critical insights that are relevant to your generative AI strategy. We have curated these readings and have included an integration prompt within the readings themselves so that you can quickly catch up to speed on emerging thought leadership and leverage generative AI to evaluate how these insights might impact your strategy.
What's included
1 video6 readings
Show info about module content
1 video•Total 2 minutes
Wrap up•2 minutes
6 readings•Total 56 minutes
Critical Insights: The State of AI Report•10 minutes
Critical insights: Dawn of LMMs - early review of GPT-4V•8 minutes
Critical insights: Generative AI and the future of work in America•10 minutes
Critical insights: Augmented work for an automated, AI-driven world•10 minutes
Critical insights: Effective and ineffective uses of GenAI•8 minutes
Navigating Generative AI for Leaders•10 minutes
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In this course, a generative AI strategy is a structured plan for deciding where generative AI could create customer value, improve productivity, or change the way your business competes. The course treats it as a practical business planning task grounded in your business model, priorities, and external environment.
When would you use a generative AI strategy?
You would use it when you need to move from general interest in generative AI to clear choices about where it could matter in your business. In the course, it helps you compare possible uses, weigh risks and competitive change, and decide what deserves attention first.
How does setting a generative AI strategy fit into a broader workflow?
It comes after you understand how generative AI may affect your industry and business, but before you start building or testing specific initiatives. The course uses it to connect that big-picture understanding to practical choices about priorities, customer value, productivity, and later experimentation.
How is a generative AI strategy different from a list of AI use cases?
A list of AI use cases is mainly a catalog of ideas, while a generative AI strategy explains which ideas to pursue, which to deprioritize, and how they connect to your business model. This course emphasizes prioritizing around customer value, strengths and weaknesses, and opportunities and threats rather than just collecting possibilities.
Do you need any prerequisites before learning how to set a generative AI strategy?
No deep technical experience is required, because the course is beginner level and focuses on business decisions rather than building AI systems from scratch. A basic ability to think through your business model, compare options, and judge tradeoffs is more important.
What tools, platforms, or methods are used in this course?
Learners use a large language model in a hands-on environment and apply a business model framework to organize the analysis. The course also uses SWOT-style thinking to examine strengths, weaknesses, opportunities, and threats.
What specific tasks will you practice or complete in this course?
You practice describing your business context, examining key parts of the business model, identifying customer value and productivity opportunities, and assessing outside threats and shifts in competition. You also compare and prioritize areas of focus, then refine them into an actionable generative AI strategy.