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AI+ Policy Maker™

  • 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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AI+ Policy Maker™
Price: $295.00

At a Glance: Course + Exam Overview

Category AI Business
Program Name AI+ Policy Maker™
Duration
  • Instructor-Led: 1 Day
  • Self-Paced: 8 hours of content
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 Format 50 questions, 70% passing, 90 Minutes

What You'll Learn

  • AI in Governance and Public Policy
    Gain insights into how AI can enhance governance, service delivery, and policy-making. Learn from case studies on AI in sectors like healthcare, education, and transportation.
  • Ethical, Social, and Human Rights Implications of AI
    Understand the ethical considerations surrounding AI, including fairness, transparency, and accountability. Develop strategies to mitigate bias and protect human rights in AI systems.
  • Legal and Regulatory Frameworks for AI
    Dive deep into global AI regulations, data privacy laws, and intellectual property considerations. Master the nuances of developing policies that ensure legal compliance and ethical AI deployment.
  • AI Strategy and Implementation
    Learn to craft AI strategies at the national level, integrating AI with public sector policies, aligning stakeholders, and addressing economic inequalities through AI solutions.

Certification Modules

Module 1: Introduction to Artificial Intelligence

  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

Module 2: AI in Governance and Public Policy

  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

Module 3: Ethical, Social, and Human Rights Implications of AI

  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

Module 4: Legal and Regulatory Frameworks for AI

  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

Module 5: AI Risk Management and Security

  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

Module 6: Economic Impacts of AI

  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

Module 7: AI Strategy, Implementation, and Collaboration

  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

Module 8: Shaping the Future of AI Policy

  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

Finish the course and get certified

Certificate 1

Industry Opportunities

  • AI Policy Advisor
    AI Policy Advisor
    Shape AI governance frameworks, providing strategic insights to ensure ethical AI implementation in policy-making.
  • Public Policy Analyst
    Public Policy Analyst
    Analyze and design policies to regulate AI technologies, addressing societal, economic, and legal concerns.
  • Data Privacy Officer
    Data Privacy Officer
    Oversee the development and enforcement of policies to protect data privacy in AI systems.
  • AI Policy Researcher
    AI Policy Researcher
    Conduct research on the impact of AI technologies and help shape effective public policies for AI development and implementation.

Frequently Asked Questions

Yes, the AI+ Policy Maker™ 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.

Prerequisites

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Exam Details

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

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%
Course Price: $295.00
Instructor-Led (Live Virtual/Classroom)
  • 1 day of intensive training with live demos
  • Real-time Q&A and peer collaboration
  • Led by AI Certified Trainers and delivered through Authorized Training Partners

 

Self-Paced Online
  • ~8 hours of on-demand video lessons, e-book, and podcasts
  • Learn anywhere, anytime, with modular quizzes to track progress

 

Purchase Self-Paced Course

Core AI Tools Covered

TensorFlow

TensorFlow

SHAP (SHapley Additive exPlanations)

SHAP (SHapley Additive exPlanations)

Amazon S3

Amazon S3

AWS SageMaker

AWS SageMaker