What will I learn in the AI Policy Labs: AI Regulation in Practice course?

You will learn how AI policies become practice through regulatory frameworks, AI governance, compliance, risk assessment, ethical AI, and real-world policy implementation.

Who should attend this AI policy and regulation course?

This course is suitable for students, researchers, AI professionals, policy learners, compliance teams, legal and regulatory professionals, governance teams, ethics researchers, and participants interested in practical AI regulation.

Does this course cover AI governance, compliance, and risk assessment?

Yes, the course covers AI governance, compliance, and risk assessment, explaining how organizations can translate AI regulations into practical frameworks, responsible policies, and implementation workflows.

Is this course useful for ethical AI and real-world policy implementation?

Yes, the course is useful for learners interested in ethical AI, AI policy implementation, regulatory compliance, governance frameworks, responsible AI practices, and practical approaches to managing AI risks.

AI Policy Labs: AI Regulation In Practice

Attribute

Detail

Format

Online (e-LMS)

Level

Moderate

Duration

3 Weeks

Certification

e-Certification + e-Marksheet

Tools

EU AI Act, U.S. Executive Orders, OECD AI Principles, UNESCO AI Ethics Recommendations

About the Ai Regulation Course

AI Policy Labs: Regulation in Practice is a simulation-driven, policy-maker-focused program designed to translate ethical principles and legal frameworks into enforceable AI regulation.

Participants explore and compare leading regulatory models and apply them in lab environments.

Program Highlights

• Comprehensive coverage of AI Policy Labs Regulation in Practice 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: EU AI Act, U.S. Executive Orders, OECD AI Principles, UNESCO AI Ethics Recommendations

• Career-oriented training for academic and professional growth in AI

Course Curriculum

Module 1: Foundations of AI Regulation

Explore the risks and public interest in AI regulation
Understand core concepts – risk-based regulation, accountability, transparency
Categorize AI use cases and risk levels

Module 2: Major Regulatory Frameworks

Analyze the EU AI Act – provisions, risk tiers, and obligations
Examine the U.S. AI Strategy – Executive Orders, NIST AI RMF, FTC Guidance
Compare global regulatory approaches: risk, rights, and enforcement models

Module 3: Compliance and Internal Governance

Classify AI systems and map use cases
Implement compliance requirements for high-risk systems
Assign roles and accountability: DPOs, risk officers, and AI governance leads

Module 4: Tools for Policy Implementation

Conduct impact assessments (AI, human rights, algorithmic, environmental)
Perform conformity assessments and post-market monitoring
Develop supplier and third-party due diligence

Module 5: AI Policy Simulation Labs

Set up regulatory role-play (company, regulator, public)
Enforce the EU AI Act – mock review and assessment
Simulate U.S. risk management strategy

Module 6: Innovation, Influence, and Next-Gen Governance

Explore sandbox models and experimental regulation
Engage in public participation and governance
Build regulatory foresight into AI strategy

Tools, Techniques, or Platforms Covered

EU AI Act
U.S. Executive Orders
OECD AI Principles
UNESCO AI Ethics Recommendations

Real-World Applications

Apply AI Policy Labs Regulation in Practice skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical AI competencies
Solve industry-relevant problems using AI Policy Labs Regulation in Practice 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 NanoSchool
Hands-on training with practical projects and industrial datasets
Dedicated expert mentorship and doubt resolution

Prerequisites:

Frequently Asked Questions

1. What is the format of this AI Policy Labs Regulation in Practice course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

No prior experience is required. This course is designed for beginners and takes you step by step from the basics to advanced topics.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 3 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to AI. Our mentors are industry experts and experienced professionals.

Enroll in AI Policy Labs Regulation in Practice today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering AI skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	3 Weeks
Level	Moderate
Domain	AI
Hands-On	Yes – Practical projects with industrial datasets
Tools Used	EU AI Act, U.S. Executive Orders, OECD AI Principles, UNESCO AI Ethics Recommendations

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