Why This Certification Matters
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Navigating AI-Enabled Global Collaboration: Gain the skills to shape global AI policies, driving innovation and ensuring secure, ethical cross-border data flows.
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AI in Sustainability and Climate Action: Learn to integrate AI into sustainability policies, positioning yourself as a leader in smart environmental management.
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AI-Powered Economic Strategies: Develop AI-driven economic policies to boost growth and innovation, enhancing your career as a leader in global competitiveness.
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Cybersecurity and AI Risk Management: Master AI security and risk management to ensure system resilience, building trust in AI initiatives.
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Ethical AI for Future Societies: Lead the creation of ethical AI guidelines, ensuring responsible development and prioritizing societal well-being in your policies.
At a Glance: Course + Exam Overview
Who Should Enroll?
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Public Administrators: Enhance your skills in using AI tools to streamline policy implementation, optimize public sector operations, and drive impactful results.
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Business Analysts: Equip yourself with the skills to leverage AI for policy analysis, predict outcomes, and inform strategic decisions across sectors.
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Students & New Graduates: Gain a competitive advantage by mastering AI tools for policy development and digital governance in a rapidly evolving landscape.
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Industry Professionals: Strengthen your expertise in AI-driven policy-making and position yourself to lead innovative projects within your industry.
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Government Officials & Policy Makers: Gain the skills to incorporate AI into policy development, improve data-driven decision-making, and optimize governance.
Skills You'll Gain
What You'll Learn
- 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
- 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
- 2.1 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
- 3.1 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
- 4.1 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
- 5.1 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
- 6.1 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
- 7.1 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
- 8.1 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
- 1. Understanding AI Agents
- 2. Case Study
- 3. Hands-On Activity
Tools You'll Master
Prerequisites
- Familiarity with AI basics, including machine learning and data science fundamentals.
- Awareness of policy-making processes and governance structures.
- Understanding of data privacy principles and ethical concerns relevant to technology and AI.
- Ability to interpret data-driven insights, as these are crucial for policy formulation based on AI applications.
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint:
- Introduction to Artificial Intelligence - 10%
- AI in Governance and Public Policy - 13%
- Ethical, Social, Human Rights Implication of AI - 13%
- Legal and Regulatory Frameworks for AI - 13%
- AI Risk Management and Security - 13%
- Economic Impacts of AI - 13%
- AI Strategy, Implementation and Collaboration - 13%
- Shaping the Future of AI Policy - 12%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
- 1 day (live or virtual) Self-Paced: 8 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
- 8 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a Call9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
Frequently Asked Questions
Yes, the AI+ Policy Maker Practitioner™ certification is recognized as a valuable credential for professionals working in public administration, policy-making, and AI governance.
This course helps you understand the ethical, legal, and societal challenges of AI, enabling you to design policies that foster responsible AI deployment.
The course includes practical case studies, AI governance frameworks, global AI regulations, and real-world applications of AI in public policy.
The certification will equip you with the skills to lead AI-driven policy initiatives, shape public sector AI strategies, and ensure that AI is developed and implemented.
This course focuses on policy-making, teaching you to create regulations, ensure ethical AI deployment, address socio-economic impacts in the public sector.
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