AI+ Policy Maker Practitioner™

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Specialization

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
  • Open course Not available in this format
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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.

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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
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
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
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
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
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
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
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
Optional Module: AI Agents for Policy Maker
  • 1. Understanding AI Agents
  • 2. Case Study
  • 3. Hands-On Activity

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

Private training for your team?

Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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