Design & Present Responsible AI Solutions

This course is part of multiple programs.

Instructors: Starweaver

Included with

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

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

Evaluate AI use cases by applying key Responsible AI principles such as fairness, transparency, and accountability.
Identify and document potential risks and biases across data, models, and user interactions using structured ethical design tools.
Develop and communicate stakeholder-ready presentations and documentation that clearly articulate Responsible AI design decisions.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

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 are 3 modules in this course

In an era where artificial intelligence influences hiring, healthcare, finance, and everyday decision-making, the demand for Responsible AI design has never been greater. This course empowers professionals, researchers, and innovators to design, evaluate, and communicate AI solutions that are transparent, fair, and trustworthy. Through practical frameworks and guided demos, learners will explore how to apply core Responsible AI principles-fairness, transparency, accountability, privacy, and safety-across the AI lifecycle. You’ll practice identifying bias and ethical risks, documenting safeguards using structured templates, and transforming complex technical work into clear, stakeholder-ready presentations. Real-world examples and corporate case studies demonstrate how leading organizations operationalize Responsible AI.

This course is for AI, data, ethics, and tech professionals who want to design and present transparent, fair, and responsible AI solutions. Ideal for developers, policymakers, and business leaders, it helps you apply Responsible AI principles and communicate them clearly to diverse stakeholders. Learners should have a basic understanding of AI/ML concepts, familiarity with data ethics, and the ability to present ideas clearly to non-technical audiences. By the end of this course, you’ll confidently design ethically sound AI solutions and present them persuasively to both technical and non-technical audiences.

This module introduces learners to the foundational concepts of Responsible AI - exploring why ethical design, transparency, and accountability matter in modern AI systems. Learners will examine the core principles of Responsible AI, understand how bias and harm can emerge throughout the AI lifecycle, and discover how to embed ethical considerations into every stage of AI solution design. Through real-world case examples and structured reflection, this module establishes the mindset and vocabulary needed to design AI systems that are both innovative and trustworthy.

What's included

4 videos2 readings1 peer review

4 videos Total 23 minutes

Welcome to Responsible AI Design 4 minutes
Why Responsible AI Matters 5 minutes
The Core Principles of Responsible AI 7 minutes
From Principles to Practice: Designing with Ethics in Mind 6 minutes

2 readings Total 10 minutes

Welcome to the Course: Course Overview 5 minutes
Responsible AI: Why It Matters and How We’re Infusing It at Microsoft 5 minutes

1 peer review Total 20 minutes

Hands-On-Learning: Responsible AI Risk Reflection 20 minutes

This module guides learners through the practical process of integrating Responsible AI principles into real-world system design. Learners will explore how to identify and mitigate ethical risks, detect and document bias, and evaluate model performance beyond accuracy metrics. They will learn to apply tools such as Responsible AI canvases, risk logs, and model cards to ensure transparency and accountability across the AI development lifecycle. By the end of the module, learners will be able to design AI systems that align with organizational values, regulatory standards, and human-centered goals.

What's included

3 videos1 reading1 peer review

3 videos Total 22 minutes

Embedding Ethics into the AI Lifecycle 7 minutes
Using Responsible AI Canvases and Checklists 7 minutes
Reducing Bias and Communicating Uncertainty 8 minutes

1 reading Total 5 minutes

Building Trustworthy AI: How Google Designs for Transparency and Fairness (2024) 5 minutes

1 peer review Total 20 minutes

Hands-On-Learning: Responsible AI Design Challenge 20 minutes

This module focuses on transforming Responsible AI design work into clear, stakeholder-ready communication. Learners will discover how to structure and deliver presentations that effectively convey technical rigor, ethical awareness, and societal impact. The module covers techniques for visual storytelling, ethical reporting, and audience-tailored messaging to build trust and understanding among diverse stakeholders-executives, regulators, and the public alike. By the end of the module, learners will be able to craft compelling presentations and documentation that demonstrate both AI innovation and accountability.

What's included

4 videos1 reading1 assignment2 peer reviews

4 videos Total 25 minutes

Telling the Story of Your AI Solution 8 minutes
Building a Responsible AI Pitch Deck 6 minutes
Presenting AI Responsibility to Stakeholders 8 minutes
Course Wrap-Up & Next Steps 3 minutes

1 reading Total 5 minutes

OECD AI Principles 2024 Update: Operationalizing Trustworthy AI 5 minutes

1 assignment Total 20 minutes

Design & Present Responsible AI Solutions 20 minutes

2 peer reviews Total 80 minutes

Hands-On-Learning: Responsible AI Presentation Challenge 20 minutes
Project: Design & Present a Responsible AI Solution Pack 60 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

Starweaver

Coursera

554 Courses 1,032,012 learners

Offered by

Coursera

Explore more from Machine Learning

Coursera
Responsible AI: Transparency & Ethics
Course
Fractal Analytics
Responsible AI - Principles and Ethical Considerations
Course
Johns Hopkins University
Trustworthy AI: Managing Bias, Ethics, and Accountability
Course
AI CERTs
Responsible AI Principles
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.