| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Moderate |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹10749 / $124 |
| Tools | AI audits impact assessments compliance lifecycle checklists |
About the AI Compliance and Regulatory Risk Management Course
This program is designed to demystify the rapidly evolving landscape of AI laws, frameworks, and compliance obligations.
Participants will explore emerging regulations and learn how to assess and mitigate regulatory risks associated with bias, transparency, data privacy, accountability, explainability, and algorithmic harm.
Program Highlights
• Comprehensive coverage of AI Compliance and Regulatory Risk Management 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: AI audits, impact assessments, compliance lifecycle checklists
• Career-oriented training for academic and professional growth in AI
Course Curriculum
Module 1: Introduction to AI Compliance
- Exploring the EU AI Act and its implications
- Understanding OECD AI Principles and NIST AI RMF
- Identifying sector-specific guidelines for AI compliance
Module 2: Assessing Regulatory Risks
- Assessing bias and transparency in AI systems
- Evaluating data privacy and accountability in AI
- Identifying algorithmic harm and explainability concerns
Module 3: Establishing AI Governance
- Creating AI audits and impact assessments
- Developing compliance lifecycle checklists
- Implementing robust AI governance systems
Module 4: Preparing for Upcoming Laws
- Preparing for the EU AI Act and US Executive Order on AI
- Understanding the implications of emerging regulations
- Developing strategies for compliance and risk mitigation
Module 5: Building Defensible AI Pipelines
- Designing audit-ready AI pipelines
- Implementing data privacy and security measures
- Ensuring transparency and explainability in AI decision-making
Module 6: Balancing Innovation and Compliance
- Balancing innovation with public interest and legal obligations
- Managing brand trust and reputation in AI development
- Developing strategies for responsible AI innovation
Tools, Techniques, or Platforms Covered
AI audits impact assessments compliance lifecycle checklists
Real-World Applications
- Apply AI Compliance and Regulatory Risk Management skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical AI competencies
- Solve industry-relevant problems using AI Compliance and Regulatory Risk Management 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
