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AI+ Policy Maker Practitioner™

AI+ Policy Maker Practitioner™
  • AI-Driven Policy Design: Leverage AI to transform policy creation and improve decision-making efficiency
  • Ethical Policy Making: Ensure fairness and transparency while integrating AI in responsible policy frameworks
  • Impact-Centric Frameworks: Create AI-powered policies that drive measurable outcomes and enhance governance efficiency
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Certificate Code

AP - 1001

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basics of AI and ML, Understanding of data privacy principles, Awareness of policy-making processes, Ability to interpret data-driven insights.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 Understanding AI: Definitions and Concepts
  2. 1.2 Historical Development of AI
  3. 1.3 Current AI Technologies and Applications
  4. 1.4 AI Trends and Future Directions
  5. 1.5 AI Terminology and Jargon for Policy Makers

  1. 2.1 Role of AI in Government and Public Services
  2. 2.2 Case Studies of AI in Public Administration
  3. 2.3 AI for Regulatory Compliance and Enforcement
  4. 2.4 Challenges of AI Adoption in Government
  5. 2.5 Policy Considerations for AI Implementation

  1. 3.1 Principles of AI Ethics
  2. 3.2 Bias, Fairness, and Discrimination in AI Systems
  3. 3.3 Privacy and Data Protection
  4. 3.4 Socio-Economic Impacts of AI
  5. 3.5 AI and Human Rights

  1. 4.1 Overview of AI Regulations Globally
  2. 4.2 Data Governance and Privacy Laws
  3. 4.3 Intellectual Property Rights in AI
  4. 4.4 Liability and Accountability in AI Systems
  5. 4.5 Developing AI Policies and Legislation

  1. 5.1 AI Safety and Security Challenges
  2. 5.2 Risk Assessment and Management Strategies
  3. 5.3 Cybersecurity and AI
  4. 5.4 Ensuring Reliability and Resilience
  5. 5.5 Incident Response and Crisis Management

  1. 6.1 AI and the Future of Work
  2. 6.2 AI’s Role in Economic Growth
  3. 6.3 Supporting AI Innovation and Entrepreneurship
  4. 6.4 AI in Developing Economies
  5. 6.5 Addressing Economic Inequalities

  1. 7.1 Developing National AI Strategies
  2. 7.2 Building AI Capabilities in the Public Sector
  3. 7.3 Public-Private Partnerships in AI
  4. 7.4 Funding and Investment in AI
  5. 7.5 Monitoring, Evaluation, and Continuous Improvement

  1. 8.1 Emerging AI Technologies and Trends
  2. 8.2 International Cooperation on AI Governance
  3. 8.3 AI and the Sustainable Development Goals (SDGs)
  4. 8.4 Public Engagement and Transparency
  5. 8.5 The Future of AI Policy Making

  1. 1. Understanding AI Agents
  2. 2. Case Study
  3. 3. Hands-On Activity

AI Tools Covered

TensorFlow
SHAP (SHapley Additive exPlanations)
Amazon S3
AWS SageMaker
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