AED
UAD Dirham
Code: AED
AI · Moderate · Live online
Agile and Responsible AI Product Design
Design AI Products Responsibly, Deliver Them Agiley
★ 4.2 (27 ratings)3 WeeksCertificate
About This Course
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
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To integrate ethical, transparent AI practices with agile innovation
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To equip teams with actionable strategies for AI product delivery
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To reduce the risks of AI misuse or unintended consequences
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To prepare participants for leadership in responsible AI innovation
Program Structure
Week 1: Foundations of Agile and Responsible AI
Module 1: Introduction to Agile Product Design for AI
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Chapter 1.1: Overview of Agile in AI Product Development
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Chapter 1.2: Why AI Requires a Different Agile Mindset
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Chapter 1.3: Agile Frameworks Adapted for AI: Scrum vs. Kanban vs. CRISP-DM
Module 2: Principles of Responsible AI
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Chapter 2.1: Fairness, Accountability, Transparency, and Ethics (FATE)
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Chapter 2.2: Guidelines from OECD, IEEE, and EU AI Act
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Chapter 2.3: Common Failures in AI Ethics and Their Impact
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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
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Chapter 3.1: Iterative Learning with AI: Data Loops and Feedback
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Chapter 3.2: User Story Mapping for AI Features
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Chapter 3.3: Defining Acceptance Criteria for Non-Deterministic Systems
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Chapter 3.4: Designing Ethical Sprint Cycles
Module 4: Human-Centered AI Product Design
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Chapter 4.1: Inclusive Design in AI Products
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Chapter 4.2: Explainability and User Trust in AI Interfaces
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Chapter 4.3: Human-in-the-Loop Systems
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Chapter 4.4: Testing AI Products with Real Users
Week 3: Governance, Deployment, and Product Scaling
Module 5: Governance and Responsible Delivery
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Chapter 5.1: Risk Management and Model Governance
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Chapter 5.2: Data Provenance, Consent, and Privacy Compliance
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Chapter 5.3: Documentation: Model Cards, Data Sheets, Fact Sheets
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Chapter 5.4: Monitoring and Retraining as Agile Extensions
Module 6: Strategy, Roadmaps, and Capstone
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Chapter 6.1: Product Roadmapping with Responsible AI Principles
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Chapter 6.2: Communicating Ethical Impact to Stakeholders
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Chapter 6.3: Capstone Project – Design a Responsible AI Feature
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Chapter 6.4: Review, Peer Critique, and Final Presentation
Who Should Enrol?
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Product managers, UX designers, AI/ML developers, innovation leads
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Policy professionals, tech ethicists, or those working on AI implementation
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No coding required, but basic familiarity with AI concepts is beneficial
Program Outcomes
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Master agile development processes tailored for AI systems
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Implement ethical design frameworks in AI product workflows
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Bridge technical development with user trust and societal value
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Build prototypes and iterate with agile, human-centered loops
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Ensure compliance, safety, and inclusiveness in AI deployment
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy