| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Moderate |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹10749 / $124 |
| Tools | Agile frameworks (Scrum Kanban) CRISP-DM OECD AI Guidelines IEEE Ethically Aligned Design EU AI Act Model Cards Data Sheets Fact Sheets |
About the Agile and Responsible AI Product Design 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.
Program Highlights
• Comprehensive coverage of Agile and Responsible AI Product Design from fundamentals to advanced applications
• Hands-on projects and real-world case studies in AI
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: Agile frameworks (Scrum, Kanban), CRISP-DM, OECD AI Guidelines
• Career-oriented training for academic and professional growth in AI
Course Curriculum
Module 1: Foundations of Agile Product Design for AI
- Explore the overview of Agile in AI Product Development
- Understand why AI requires a different Agile mindset
- Compare Agile Frameworks adapted for AI: Scrum, Kanban, and CRISP-DM
Module 2: Principles of Responsible AI
- Define Fairness, Accountability, Transparency, and Ethics (FATE)
- Analyze guidelines from OECD, IEEE, and the EU AI Act
- Examine common failures in AI Ethics and their impact
- Grasp the Product Manager’s role in ensuring Responsible AI
Module 3: Agile Planning and Experimentation with AI
- Implement iterative learning with AI: Data Loops and Feedback
- Develop User Story Mapping for AI Features
- Define Acceptance Criteria for Non-Deterministic Systems
- Design ethical sprint cycles for AI product development
Module 4: Human-Centered AI Product Design
- Apply inclusive design principles in AI Products
- Enhance explainability and user trust in AI interfaces
- Construct Human-in-the-Loop Systems
- Test AI Products effectively with real users
Module 5: Governance and Responsible Delivery
- Manage risk and implement robust model governance
- Ensure data provenance, consent, and privacy compliance
- Create essential documentation: Model Cards, Data Sheets, Fact Sheets
- Integrate monitoring and retraining as agile extensions
Module 6: Strategy, Roadmaps, and Capstone Project
- Develop product roadmaps aligned with Responsible AI Principles
- Communicate ethical impact effectively to stakeholders
- Undertake a Capstone Project – Design a Responsible AI Feature
- Participate in review, peer critique, and final presentation
Tools, Techniques, or Platforms Covered
Agile frameworks (Scrum Kanban) CRISP-DM OECD AI Guidelines IEEE Ethically Aligned Design EU AI Act Model Cards Data Sheets Fact Sheets
Real-World Applications
- Apply Agile and Responsible AI Product Design skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical AI competencies
- Solve industry-relevant problems using Agile and Responsible AI Product Design methodologies and tools
- Contribute to open-source projects and collaborative research in AI
- Prepare for competitive examinations, interviews, and professional certifications in AI
Who Should Attend & Prerequisites
- Industry-recognized e-Certification + e-Marksheet from NSTC
- Hands-on training with practical projects and industrial datasets
- Dedicated expert mentorship and doubt resolution
Certification
