How is using generative AI for a business challenge different from asking AI for a one-off answer?

A one-off answer is a quick output, while this course focuses on an iterative process of selecting a use case, refining prompts and results, and reviewing what the AI produces. It treats generative AI as part of guided decision-making, not as an automatic final answer.

Do you need any prerequisites before learning to apply generative AI to business problems?

A basic understanding of AI concepts, including machine learning and generative AI, is helpful before you begin. Familiarity with technology in business workflows is also useful, but the course does not require deep technical specialization.

What tools, platforms, or methods are used in this course?

Learners work with hands-on generative AI tools for conversation, content generation, and idea development, and the course also touches on image-generation tools in creative tasks. The main methods are prompt-based iteration, comparing outputs, and measuring impact with business metrics.

What specific tasks will you practice or complete in this course?

You practice identifying and prioritizing AI use cases, generating and refining business content or solution ideas, tailoring outputs for different contexts, and checking ethical and privacy considerations. You also evaluate likely impact with ROI and performance measures so the work stays tied to a practical business challenge.

Maximizing the Generative AI Value

This course is part of Next-Gen Workplace Automation with GenAI Specialization

Instructors: Julian Jenkins +1 more

Included with

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Explain core concepts of generative AI and its transformative value in industries such as marketing, healthcare, and product design.
Evaluate and prioritize generative AI applications for specific business challenges.
Develop innovative GenAI business solutions, ensuring ethical use and measurable success through ROI and metrics.

Skills you'll gain

Category: Operational Efficiency
Category: AI powered creativity
Category: Performance Measurement
Category: Artificial Intelligence
Category: Automation
Category: AI literacy
Category: AI Integrations
Category: Responsible AI
Category: Data Ethics
Category: Product Design
Category: Innovation
Category: Return On Investment
Category: Business Process Automation
Category: AI Product Strategy

Tools you'll learn

Category: AI Workflows
Category: Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments¹

AI Graded see disclaimer

Taught in English

Build your subject-matter expertise

This course is part of the Next-Gen Workplace Automation with GenAI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

Generative AI is revolutionizing industries, automating creativity, optimizing processes, and driving growth. Studies show AI now assists over 60% of daily tasks, improving efficiency and outcomes in areas like healthcare, marketing, and product design. This course empowers learners to harness generative AI to create innovative solutions, increase operational efficiency, and measure ROI.

Maximizing Generative AI Value is a course designed to position learners at the forefront of artificial intelligence, equipping them with the tools and strategies needed to maximize the transformative potential of generative AI. Through interactive exercises, real-world applications, and case studies, participants will explore foundational concepts, ethical considerations, and high-value AI use cases. By the end, learners will confidently identify, implement, and evaluate AI-driven strategies across various industries. This course is designed for forward-thinking professionals eager to harness the transformative potential of Generative AI. Business leaders, innovation managers, technology strategists, and AI enthusiasts will gain insights into leveraging AI to drive efficiency and growth. Entrepreneurs interested in business transformation will find practical strategies to integrate AI into workflows and create innovative solutions tailored to modern challenges. Participants should have a basic understanding of AI concepts, including machine learning and generative AI. Familiarity with technology applications in business workflows, such as CRM software or cloud platforms, will ensure a smooth learning experience. Additionally, a keen interest in applying innovative AI strategies to solve real-world challenges is essential to fully benefit from this course. By the end of this course, learners will be able to explain the core concepts of generative AI and articulate its transformative value in industries like marketing, healthcare, and product design. They will gain the ability to evaluate and prioritize generative AI applications to address specific business challenges effectively. Finally, participants will develop innovative GenAI-driven business solutions while ensuring ethical implementation and measurable success through ROI and key performance metrics.

In this course, you’ll discover how generative AI is transforming industries by automating creativity, optimizing processes, and driving growth. You’ll explore how AI assists in over 60% of daily tasks, enhancing efficiency and outcomes in fields like healthcare, marketing, and product design. By the end of the course, you’ll gain the skills to leverage generative AI for creating innovative solutions, improving operational efficiency, and effectively measuring ROI.

What's included

11 videos4 readings5 assignments3 discussion prompts

11 videosTotal 88 minutes

Introduction to the Course & Meet Your Instructor2 minutes
What is Generative AI? 10 minutes
AI Use Cases Across Industries 12 minutes
Generative AI Fundamentals 10 minutes
Business Applications of AI12 minutes
AI-Driven Innovation9 minutes
AI-Driven Content Creation 8 minutes
Ethical Considerations in AI 10 minutes
Measuring the ROI of AI Projects9 minutes
Future Trends in AI 5 minutes
Congratulations and Continuous Learning Journey1 minute

4 readingsTotal 20 minutes

Welcome to the Course: Course Overview5 minutes
Understanding Generative AI: Concepts, Applications, and Business Transformation 5 minutes
How Generative AI will Fuel Value for Businesses if Effectively Implemented 5 minutes
Ethics and Artificial Intelligence in Investment Management5 minutes

5 assignmentsTotal 95 minutes

Hands On Learning: AI-Powered Campaign Ideation 15 minutes
Hands On Learning: Personalizing Customer Service with AI 15 minutes
Hands On Learning: Measuring AI Business Impact15 minutes
AI-Driven Customer Engagement Project30 minutes
Maximizing the Generative AI Value20 minutes

3 discussion promptsTotal 15 minutes

(optional) AI Driven Design Transforming Product Development5 minutes
(optional) AI Enhancing Customer Support Communication5 minutes
(optional) Identify Emerging AI Trends and Strategies to Leverage Their Impact5 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Julian Jenkins

10 Courses76,558 learners

Offered by

Coursera

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Frequently asked questions

In this course, applying generative AI to business challenges means identifying a real problem, using generative AI to create or improve possible solutions, and judging whether the output is useful. The emphasis is on practical use cases across business functions, with attention to ethics and measurable value.

You would use this approach when you need help exploring ideas, drafting content, personalizing communication, supporting customer interactions, or shaping product and service concepts. The course frames generative AI as most useful when there is a specific business need and more than one possible way to apply it.

It fits best in the earlier and middle stages of work, when you are defining the problem, comparing possible use cases, and refining a workable approach. In this course, that work then connects to ethical review and ROI-based evaluation so the AI use is not treated as a standalone output.

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.

Maximizing the Generative AI Value

Maximizing the Generative AI Value

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

Build your subject-matter expertise

There is 1 module in this course