AI+ Policy Maker™
Empower Your Leadership with AI: Master Policy Development and Implementation for the Future
Certificate Code:
AP - 1001
About This Course
- 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
Certificate Overview
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Prerequisites
Basics of AI and ML, Understanding of data privacy principles, Awareness of policy-making processes, Ability to interpret data-driven insights.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
1
Module 1: Introduction to Artificial Intelligence
- 1.1 Understanding AI: Definitions and Concepts
- 1.2 Historical Development of AI
- 1.3 Current AI Technologies and Applications
- 1.4 AI Trends and Future Directions
- 1.5 AI Terminology and Jargon for Policy Makers
2
Module 2: AI in Governance and Public Policy
- 2.1 Role of AI in Government and Public Services
- 2.2 Case Studies of AI in Public Administration
- 2.3 AI for Regulatory Compliance and Enforcement
- 2.4 Challenges of AI Adoption in Government
- 2.5 Policy Considerations for AI Implementation
3
Module 3: Ethical, Social, and Human Rights Implications of AI
- 3.1 Principles of AI Ethics
- 3.2 Bias, Fairness, and Discrimination in AI Systems
- 3.3 Privacy and Data Protection
- 3.4 Socio-Economic Impacts of AI
- 3.5 AI and Human Rights
4
Module 4: Legal and Regulatory Frameworks for AI
- 4.1 Overview of AI Regulations Globally
- 4.2 Data Governance and Privacy Laws
- 4.3 Intellectual Property Rights in AI
- 4.4 Liability and Accountability in AI Systems
- 4.5 Developing AI Policies and Legislation
5
Module 5: AI Risk Management and Security
- 5.1 AI Safety and Security Challenges
- 5.2 Risk Assessment and Management Strategies
- 5.3 Cybersecurity and AI
- 5.4 Ensuring Reliability and Resilience
- 5.5 Incident Response and Crisis Management
6
Module 6: Economic Impacts of AI
- 6.1 AI and the Future of Work
- 6.2 AI’s Role in Economic Growth
- 6.3 Supporting AI Innovation and Entrepreneurship
- 6.4 AI in Developing Economies
- 6.5 Addressing Economic Inequalities
7
Module 7: AI Strategy, Implementation, and Collaboration
- 7.1 Developing National AI Strategies
- 7.2 Building AI Capabilities in the Public Sector
- 7.3 Public-Private Partnerships in AI
- 7.4 Funding and Investment in AI
- 7.5 Monitoring, Evaluation, and Continuous Improvement
8
Module 8: Shaping the Future of AI Policy
- 8.1 Emerging AI Technologies and Trends
- 8.2 International Cooperation on AI Governance
- 8.3 AI and the Sustainable Development Goals (SDGs)
- 8.4 Public Engagement and Transparency
- 8.5 The Future of AI Policy Making
9
Optional Module: AI Agents for Policy Maker
- 1. Understanding AI Agents
- 2. Case Study
- 3. Hands-On Activity
AI Tools You'll Learn
TensorFlow
SHAP (SHapley Additive exPlanations)
Amazon S3
