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Jeff Maggioncalda, Coursera CEO

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.

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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.

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What's inside

Syllabus

Harnessing the power of GenAI for your business
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.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Builds strong foundational knowledge for the role of AI in the business landscape so learners can make informed decisions
Helps senior executives develop and refine their AI implementation plans while avoiding expensive mistakes
Taught by business leaders with real-world experience in AI implementation
Offers a framework of actionable ideas that can be applied immediately to make GenAI a strategic asset
Introduces generative AI as a tool for informed decision-making and strategic planning
Provides a toolkit with critical concepts relevant to generative AI strategy for convenient review and reference

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Reviews summary

Strategic genai for business leaders

According to learners, this course is a largely positive and highly recommended resource for business professionals and executives. Students found it excellent for developing an actionable Generative AI strategy, praising its clear framework for customer value creation and productivity. Many highlighted the hands-on experience with the Business Model Canvas in the Coursera Playground and the insightful case studies as practical strengths. While some noted it offers a high-level overview and is not a technical deep dive, this was largely seen as a positive for its target audience. The course benefits from expert insights and seems to have undergone continuous improvements.
The course has been updated based on feedback.
"Recent updates have made the content even more actionable and relevant."
"It certainly clarified the path forward for my team, showing an improved approach."
"The discussions on agile reaction were good, though."
Offers hands-on experience and real-world case studies.
"I particularly valued the hands-on exercise with the Business Model Canvas in the Coursera Playground..."
"The case studies from Coursera itself were insightful and demonstrated practical application."
"I appreciated the practical tools and the 'learn-by-doing' approach."
Tailored for business leaders, requiring no technical background.
"Absolutely essential for any business leader trying to navigate the GenAI landscape."
"Highly recommended for executives, it's not a technical deep dive, which is exactly what I needed."
"Perfect for non-technical professionals seeking a high-level strategic understanding."
Provides a clear, actionable roadmap for GenAI strategy.
"The framework provided for developing a strategy is incredibly clear and actionable."
"It equipped me with an actionable strategy."
"The framework presented is robust and directly applicable."
Focuses on strategic concepts, less on technical depth.
"While the content is excellent for high-level strategy, those looking for more technical depth... might find it a bit too general."
"I didn't feel the 'hands-on' Business Model Canvas activity pushed me enough."
"It talks a lot about strategy but doesn't provide enough tangible tools or examples for practical application beyond a superficial level."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Setting a Generative AI Strategy with these activities:
Review fundamental concepts in business strategy
Reviewing these core concepts will provide learners a solid foundation for understanding the potential impact of GenAI on business operations.
Browse courses on Business Strategy
Show steps
  • Read a book on business strategy
  • Take an online course on business planning
  • Develop a business plan for a hypothetical company
  • Attend a workshop on business strategy
Brush up on business strategy fundamentals
Build a solid foundation in business strategy principles to enhance your understanding of GenAI's impact.
Browse courses on Business Strategy
Show steps
  • Review core concepts of business strategy, such as competitive advantage, value proposition, and industry analysis.
  • Read articles and case studies on successful business strategies implemented by leading companies.
Review research techniques
Prepare yourself for this course by brushing up on research techniques to make the most of this course.
Browse courses on Research Methods
Show steps
  • Re-read textbook chapters on research techniques
  • Complete practice problems in research design
  • Attend a workshop on research methods
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using the Business Model Canvas
Hands-on practice with the Canvas will familiarize students with the framework and improve their ability to develop and evaluate business models.
Browse courses on Business Model Canvas
Show steps
  • Use the Coursera Playground to create a Business Model Canvas for an existing business
  • Develop a Business Model Canvas for a new business idea
  • Attend a workshop on the Business Model Canvas
Practice with case study modeling
Enhance your understanding of real-world applications. Practice with case study modeling to apply the concepts from this course.
Browse courses on Customer Value Creation
Show steps
  • Analyze a case study and identify customer value creation opportunities
  • Develop a plan to improve productivity using generative AI
  • Present your findings to a group for feedback
Develop a generative AI strategy for a specific business
This project will enable learners to apply the concepts covered in the course to a real-world business scenario.
Browse courses on AI Implementation
Show steps
  • Conduct research on generative AI and identify relevant use cases
  • Analyze the business's current operations and identify areas where generative AI can add value
  • Develop a detailed implementation plan for integrating generative AI into the business
  • Create a presentation to outline the strategy to key stakeholders
Develop a generative AI learning plan
Solidify your knowledge. Create a generative AI learning plan to guide your continued exploration of this field.
Browse courses on Generative AI
Show steps
  • Identify your specific generative AI learning goals
  • Research different resources and platforms for generative AI learning
  • Develop a personalized learning roadmap that includes a mix of theoretical and project-based activities
  • Implement your learning plan and track your progress regularly

Career center

Learners who complete Setting a Generative AI Strategy will develop knowledge and skills that may be useful to these careers:
Data Scientist
As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your data analysis and modeling.
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models to solve business problems. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your machine learning models.
Artificial Intelligence Engineer
As an Artificial Intelligence Engineer, you will be responsible for designing, developing, and deploying artificial intelligence systems to solve business problems. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your artificial intelligence systems.
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your data analysis.
Business Analyst
As a Business Analyst, you will be responsible for analyzing business processes and identifying opportunities for improvement. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your business analysis.
Product Manager
As a Product Manager, you will be responsible for developing and managing products that meet the needs of customers. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your product development.
Marketing Manager
As a Marketing Manager, you will be responsible for developing and executing marketing campaigns to promote products and services. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your marketing campaigns.
Sales Manager
As a Sales Manager, you will be responsible for leading and motivating a sales team to achieve sales targets. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your sales strategy.
Operations Manager
As an Operations Manager, you will be responsible for overseeing the day-to-day operations of a business. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your operations management.
Human Resources Manager
As a Human Resources Manager, you will be responsible for managing the human resources function of a business. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your human resources management.
Chief Executive Officer
As a Chief Executive Officer, you will be responsible for overseeing all aspects of a business. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your business strategy.
Chief Operating Officer
As a Chief Operating Officer, you will be responsible for overseeing the day-to-day operations of a business. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your operations management.
Chief Financial Officer
As a Chief Financial Officer, you will be responsible for managing the financial resources of a business. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your financial management.
Chief Marketing Officer
As a Chief Marketing Officer, you will be responsible for developing and executing marketing campaigns to promote products and services. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your marketing strategy.
Chief Technology Officer
As a Chief Technology Officer, you will be responsible for overseeing the development and implementation of technology solutions for a business. This course may be particularly useful for you because it will help you develop the skills you need to understand the potential impact of generative AI on various facets of business, with a particular focus on customer value creation and productivity. This knowledge will be essential for you to be able to effectively use generative AI to improve your technology strategy.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Setting a Generative AI Strategy.
Provides a collection of articles from Harvard Business Review on the topic of artificial intelligence. It covers a wide range of topics, including the potential benefits and risks of AI, how to implement AI in your business, and how to use AI to improve customer experience.
This hands-on book provides practical experience in implementing machine learning models using popular Python libraries, offering a deeper understanding of the technical aspects of AI development.
This mathematical textbook provides a rigorous foundation in machine learning theory, offering a deeper understanding of the underlying algorithms and principles used in generative AI.
This concise book provides a quick overview of machine learning concepts and algorithms, serving as a useful refresher or introduction to the field.
Provides a practical introduction to deep learning for coders. It covers the basics of deep learning, as well as how to use the Fastai and PyTorch libraries to build and train deep learning models. This book good resource for executives who want to understand the technical details of generative AI.
This classic textbook introduces the fundamental concepts of reinforcement learning, providing a foundation for understanding how AI systems can learn from their interactions with the environment.

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