AI+ Policy Maker Practitioner™

USD$195.00 (GST excl.)

Formerly known as AI+ Policy Maker™

Empower Your Leadership with AI: Master Policy Development and Implementation for the Future

  • 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
For more information, see below
Duration
Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam

Overview

  • 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

Prerequisites

Basics of AI and ML, Understanding of data privacy principles, Awareness of policy-making processes, Ability to interpret data-driven insights.

What you’ll learn

Public Administrators: Enhance your skills in using AI tools to streamline policy implementation, optimize public sector operations, and drive impactful results.
Business Analysts: Equip yourself with the skills to leverage AI for policy analysis, predict outcomes, and inform strategic decisions across sectors.
Students & New Graduates: Gain a competitive advantage by mastering AI tools for policy development and digital governance in a rapidly evolving landscape.
Industry Professionals: Strengthen your expertise in AI-driven policy-making and position yourself to lead innovative projects within your industry.
Government Officials & Policy Makers: Gain the skills to incorporate AI into policy development, improve data-driven decision-making, and optimize governance.

Why this certification matters

  • Navigating AI-Enabled Global Collaboration: Gain the skills to shape global AI policies, driving innovation and ensuring secure, ethical cross-border data flows.
  • AI in Sustainability and Climate Action: Learn to integrate AI into sustainability policies, positioning yourself as a leader in smart environmental management.
  • AI-Powered Economic Strategies: Develop AI-driven economic policies to boost growth and innovation, enhancing your career as a leader in global competitiveness.
  • Cybersecurity and AI Risk Management: Master AI security and risk management to ensure system resilience, building trust in AI initiatives.
  • Ethical AI for Future Societies: Lead the creation of ethical AI guidelines, ensuring responsible development and prioritizing societal well-being in your policies.

Tools you’ll use

TensorFlow
TensorFlow
SHAP (SHapley Additive exPlanations)
SHAP (SHapley Additive exPlanations)
Amazon S3
Amazon S3
AWS SageMaker
AWS SageMaker

Learning Modules

9 modules

1Module 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
2Module 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
3Module 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
4Module 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
5Module 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
6Module 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
7Module 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
8Module 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
9Optional Module: AI Agents for Policy Maker
1. Understanding AI Agents
2. Case Study
3. Hands-On Activity
Format

Online, self-paced

Duration

Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content

Exam

50 questions, 70% passing, 90 minutes, online proctored exam

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Prerequisites

Basics of AI and ML, Understanding of data privacy principles, Awareness of policy-making processes, Ability to interpret data-driven insights.

Delivery

Projects & case studies

Outcome

Industry-recognized credential + hands-on experience

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