Agile and Responsible AI Product Design

Design AI Products Responsibly, Deliver Them Agiley

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

Agile and Responsible AI Product Design is a cutting-edge program that blends agile product development strategies with ethical AI design principles. As AI becomes embedded in products and services across sectors, it is crucial not only to build fast—but also to build responsibly. This program equips learners to manage AI product lifecycles iteratively while ensuring fairness, accountability, transparency, and safety in AI-enabled solutions. Ideal for product managers, designers, engineers, and innovation leaders.

Aim:

To empower professionals with the skills to design, develop, and deploy AI-powered products using agile methodologies—while ensuring ethical, transparent, inclusive, and human-centered AI design practices.

Program Objectives:

To integrate ethical, transparent AI practices with agile innovation
To equip teams with actionable strategies for AI product delivery
To reduce the risks of AI misuse or unintended consequences
To prepare participants for leadership in responsible AI innovation

What you will learn?

Week 1: Foundations of Agile and Responsible AI

Module 1: Introduction to Agile Product Design for AI

Chapter 1.1: Overview of Agile in AI Product Development
Chapter 1.2: Why AI Requires a Different Agile Mindset
Chapter 1.3: Agile Frameworks Adapted for AI: Scrum vs. Kanban vs. CRISP-DM

Module 2: Principles of Responsible AI

Chapter 2.1: Fairness, Accountability, Transparency, and Ethics (FATE)
Chapter 2.2: Guidelines from OECD, IEEE, and EU AI Act
Chapter 2.3: Common Failures in AI Ethics and Their Impact
Chapter 2.4: The PM’s Role in Ensuring Responsible AI

Week 2: Building Human-Centered and Iterative AI Products

Module 3: Agile Planning and Experimentation with AI

Chapter 3.1: Iterative Learning with AI: Data Loops and Feedback
Chapter 3.2: User Story Mapping for AI Features
Chapter 3.3: Defining Acceptance Criteria for Non-Deterministic Systems
Chapter 3.4: Designing Ethical Sprint Cycles

Module 4: Human-Centered AI Product Design

Chapter 4.1: Inclusive Design in AI Products
Chapter 4.2: Explainability and User Trust in AI Interfaces
Chapter 4.3: Human-in-the-Loop Systems
Chapter 4.4: Testing AI Products with Real Users

Week 3: Governance, Deployment, and Product Scaling

Module 5: Governance and Responsible Delivery

Chapter 5.1: Risk Management and Model Governance
Chapter 5.2: Data Provenance, Consent, and Privacy Compliance
Chapter 5.3: Documentation: Model Cards, Data Sheets, Fact Sheets
Chapter 5.4: Monitoring and Retraining as Agile Extensions

Module 6: Strategy, Roadmaps, and Capstone

Chapter 6.1: Product Roadmapping with Responsible AI Principles
Chapter 6.2: Communicating Ethical Impact to Stakeholders
Chapter 6.3: Capstone Project – Design a Responsible AI Feature
Chapter 6.4: Review, Peer Critique, and Final Presentation

Intended For :

Product managers, UX designers, AI/ML developers, innovation leads
Policy professionals, tech ethicists, or those working on AI implementation
No coding required, but basic familiarity with AI concepts is beneficial