Will this course help me apply AI in real policy or leadership scenarios?

Yes. The course uses real-world case studies and frameworks to apply AI in governance, economic policy, risk, and regulation.

Does the course cover ethical and responsible AI practices?

Absolutely. Ethical AI, fairness, transparency, privacy, and societal impact are core components of the curriculum.

How is AI used in strategic decision-making in this course?

You’ll learn how AI supports forecasting, policy evaluation, impact analysis, and data-driven leadership decisions.

Is this course relevant for professionals outside government roles?

Yes. It’s highly relevant for corporate leaders, industry professionals, consultants, and analysts involved in strategy and compliance.

What kind of learning format does the course follow?

The course is self-paced and includes video lessons, case studies, reading materials, and practical learning resources.

Will I learn about global AI regulations and governance frameworks?

Yes. The course explores international AI policy trends, regulatory approaches, and cross-border governance consideratio

How much time should I expect to commit to the course?

The self-paced program is designed to be completed in approximately 8 hours, allowing flexibility for working professiona

How will this course benefit my career?

It strengthens your ability to lead AI-driven initiatives, contribute to policy discussions, and make informed strategic decisions in an AI-enabled world.

What tools or platforms will I learn in this course?

You’ll explore AI and governance tools such as TensorFlow, SHAP (Explainable AI), AWS SageMaker, and Amazon S3, with a focus on policy analysis, risk assessment, and responsible AI oversight rather than coding.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI+ Policy Maker

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AI+ Policy Maker

Instructor: AI CERTs Team

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8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

7 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

7 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

AI for Policy Design: Apply AI concepts and data-driven methods to design, evaluate, and refine effective public and organizational policies.
AI Risk & Governance: Assess AI risks, regulatory challenges, and security concerns to build resilient, compliant, and trustworthy policies.
Ethical & Responsible AI: Understand fairness, transparency, privacy, and accountability principles when integrating AI into policy frameworks.
Strategic AI Leadership: Use AI insights to support long-term strategy, cross-sector collaboration, and evidence-based decision-making.

Skills you'll gain

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There are 8 modules in this course

AI for Strategic Leadership equips current and aspiring leaders with the knowledge and frameworks needed to design, evaluate, and implement AI-enabled policies in complex organizational and public-sector environments. The course explores how artificial intelligence is reshaping governance, economic strategy, risk management, and cross-border collaboration, helping leaders move from AI awareness to informed decision-making.

Learners will examine the role of AI in public policy, regulation, sustainability, cybersecurity, and ethical governance, with a strong focus on fairness, transparency, and accountability. Through case-based learning and real-world examples, the program demonstrates how AI can support data-driven policy design, stakeholder engagement, and long-term strategic planning. The course also addresses legal and regulatory considerations, AI risk management, and the societal implications of emerging technologies, enabling leaders to anticipate challenges and craft adaptive, future-ready policies. Designed for professionals across government, business, and global organizations, this self-paced program combines structured learning with practical insights to help leaders confidently guide AI-driven initiatives and governance strategies in a rapidly evolving world.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

32 videos3 readings1 assignment7 plugins

32 videosTotal 382 minutes

Audiobook: Course Introduction5 minutes
Course Introduction3 minutes
Audiobook: Module 1 - Introduction to Artificial Intelligence 173 minutes
Podcast : Module 1 - Introduction to Artificial Intelligence105 minutes
1.1 Definitions and Concepts5 minutes
1.2 Fundamental Concepts of AI: Basic Principles of Artificial Intelligence5 minutes
1.3 Types of AI: Differentiate between Narrow AI, General AI, and Super Intelligent AI3 minutes
1.4 AI vs. Human Intelligence: Compare and contrast artificial intelligence with human cognitive abilities.3 minutes
1.5 AI Terminology: Familiarize with common AI terms and jargon essential for policy discussions.3 minutes
1.6 The AI Ecosystem: Understand the stakeholders involved in AI development and deployment.3 minutes
1.7 Early Beginnings: Origins of AI from early computing to the Dartmouth Conference4 minutes
1.8 AI Winters and Summers: The periods of reduced funding and interest, and subsequent resurgences in AI research.3 minutes
1.9 Milestones in AI: Significant breakthroughs such as IBM's Deep Blue, Google's AlphaGo, and OpenAI's GPT models.2 minutes
1.10 Evolution of AI Technologies: Technological advancements that have propelled AI forward.3 minutes
1.11 Key Contributors: Influential figures in AI history and their contributions.2 minutes
1.12 Current AI Technologies and Applications4 minutes
1.13 Machine Learning Algorithms: Supervised, Unsupervised, and Reinforcement Learning3 minutes
1.14 Reinforcement Learning: Learning through Interaction and Feedback4 minutes
1.15 Natural Language Processing (NLP): How AI understands and generates human language2 minutes
1.16 Computer Vision: How AI interprets visual information from the world4 minutes
1.17 Robotics and Automation: AI's role in physical automation and robotics3 minutes
1.18 Case Studies: Real-world applications of AI5 minutes
1.19 Emerging AI Technologies: Advancements in edge AI, federated learning, and quantum computing3 minutes
1.20 AI and Big Data: Relationship between AI and the proliferation of data2 minutes
1.21 AI Democratization: How AI tools are becoming more accessible to non-experts2 minutes
1.22 Future Predictions: Expert forecasts on AI's trajectory and potential impact1 minute
1.23 Technological Singularity: Concept of AI surpassing human intelligence3 minutes
1.24 AI Terminology and Jargon for Policy Makers3 minutes
1.25 Understanding Technical Language: Tips for interpreting technical documents and reports.2 minutes
1.26 Communicating with Experts: Strategies for effective dialogue with AI professionals2 minutes
1.27 Policy Implications of Terminology: How specific terms influence policy decisions2 minutes
1.28 Translating AI Concepts for Stakeholders: Convey complex ideas to non-technical audiences2 minutes

3 readingsTotal 30 minutes

Hands On 110 minutes
Hands On 210 minutes
Hands On 310 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

7 pluginsTotal 105 minutes

Ebook: Module 01: Introduction to Artificial Intelligence15 minutes
Activity: Accordian15 minutes
Activity: Timeline15 minutes
Activity: Sequence15 minutes
Activity: Drag and drop15 minutes
Activity: True/false15 minutes
Graded Assessment15 minutes

What's included

27 videos1 reading1 assignment7 plugins

27 videosTotal 295 minutes

Audiobook: Module 2 - AI in Governance and Public Policy129 minutes
Podcast 2 - AI in Governance and Public Policy 96 minutes
2.1 Enhancing Service Delivery: How AI can improve efficiency and responsiveness in public services5 minutes
2.2 Policy Analysis and Decision-Making: AI's role in data-driven policy formulation3 minutes
2.3 Smart Cities: AI applications in urban planning and management3 minutes
2.4 Citizen Engagement: AI tools for improving public participation and feedback2 minutes
2.5 Digital Government Transformation: Impact of AI on e-governance initiatives2 minutes
2.6 Healthcare: AI's role in predictive diagnostics and personalized medicine5 minutes
2.7 Education: AI-driven personalized learning and administrative efficiency3 minutes
2.8 Law Enforcement: Use of AI in surveillance, predictive policing, and legal analytics3 minutes
2.9 Transportation: AI in traffic management and autonomous vehicles4 minutes
2.10 Environmental Management: AI applications in monitoring and combating climate change4 minutes
2.11 Automated Compliance Monitoring: How AI can ensure adherence to regulations3 minutes
2.12 Fraud Detection: AI techniques for identifying fraudulent activities3 minutes
2.13 RegTech Innovations: Technology that assists in regulatory processes1 minute
2.14 Challenges in Enforcement: Limitations and Ethical concerns in AI-driven enforcement.3 minutes
2.15 Balancing Efficiency and Rights: How AI applications respect individual rights and liberties1 minute
2.16 Technical Infrastructure Needs: Requirements for implementing AI solutions1 minute
2.17 Data Quality and Availability: Importance of data governance1 minute
2.18 Workforce Readiness: Skill gaps among public sector employees1 minute
2.19 Budget Constraints: Financial implications of AI projects2 minutes
2.20 Resistance to Change: Strategies to manage organizational culture shifts1 minute
2.21 Strategic Planning: Policies that guide AI adoption aligned with public interest1 minute
2.22 Ethical Frameworks: Ethical considerations into policy development1 minute
2.23 Stakeholder Engagement: Involvement of citizens, industry, and academia in policy formulation1 minute
2.24 Regulatory Sandboxes: Controlled environments for testing AI innovations1 minute
2.25 Measuring Impact: Metrics to assess the effectiveness of AI policies2 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

7 pluginsTotal 105 minutes

eBook: Module 02: AI in Governance and Public Policy15 minutes
Activity: Tab15 minutes
Activity: Case study15 minutes
Activity: Hotspot15 minutes
Activity: Problem Statement15 minutes
Activity: Tab15 minutes
Graded Assessment15 minutes

What's included

30 videos1 reading1 assignment7 plugins

30 videosTotal 251 minutes

Audiobook: Module 3 - Ethical, Social, and Human Rights Implications of AI131 minutes
Podcast 3 - Ethical, Social, and Human Rights Implications of AI45 minutes
3.1 Principles of AI Ethics4 minutes
3.2 Transparency and Explainability: Advocate for AI systems that are understandable2 minutes
3.3 Fairness and Non-Discrimination: Ensure AI does not perpetuate biases3 minutes
3.4 Accountability: Responsibility for AI outcomes2 minutes
3.5 Beneficence and Non-Maleficence: Benefits of AI to society without causing harm2 minutes
3.6 Ethical Guidelines and Standards: Review of frameworks like the OECD AI Principles3 minutes
3.7 Bias, Fairness, and Discrimination in AI Systems3 minutes
3.8 Sources of Bias: Identify how data and algorithms can introduce bias4 minutes
3.9 Impact on Marginalized Groups: Societal implications of biased AI2 minutes
3.10 Mitigation Strategies: Techniques to reduce bias in AI systems3 minutes
3.11 Legal Considerations: Anti-discrimination laws relevant to AI2 minutes
3.12 Case Study2 minutes
3.13 Data Privacy Principles: Concepts of consent, purpose limitation, and data minimization2 minutes
3.14 Surveillance Concerns: Issues related to AI in monitoring and tracking3 minutes
3.15 Anonymization and De-identification: Methods to protect personal data1 minute
3.16 Regulatory Frameworks: Laws and impact on AI3 minutes
3.17 Balancing Innovation and Privacy: Ways to innovate while respecting privacy rights1 minute
3.18 Socio-economic Impacts of AI2 minutes
3.19 Job Displacement Risks: Assess the potential for AI to automate jobs2 minutes
3.20 New Employment Opportunities: Emerging roles created by AI advancements2 minutes
3.21 Income Inequality: How AI may widen or reduce economic disparities1 minute
3.22 Access to AI Technologies and Social Inclusion Policies4 minutes
3.23 AI and Human Rights1 minute
3.24 Right to Privacy: Safeguard personal data in AI applications1 minute
3.25 Freedom of Expression: Understand AI's role in content moderation and censorship1 minute
3.26 Right to Fair Trial: AI in legal systems and potential biases1 minute
3.27 Digital Rights: Advocate for rights in the digital realm, including data ownership1 minute
3.28 International Human Rights Law: AI policies with global human rights standards2 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

7 pluginsTotal 105 minutes

eBook: Module 03: Ethical, Social, and Human Rights Implications of AI15 minutes
Activity: Sequence15 minutes
Activity: Drag and drop15 minutes
Activity: Hotspot15 minutes
Activity: Tab15 minutes
Activity: True/false15 minutes
Graded Assessment15 minutes

What's included

31 videos1 reading1 assignment7 plugins

31 videosTotal 356 minutes

Audiobook: Module 4 - Legal and Regulatory Frameworks for AI156 minutes
Podcast 4 - Legal and Regulatory Frameworks for AI90 minutes
4.1 Overview of AI Regulations Globally4 minutes
4.2 Comparative Analysis: AI regulations in the EU, US, China, and other regions3 minutes
4.3 International Organizations: Role of entities like UNESCO and OECD in AI governance1 minute
4.4 Regulatory Trends: Emerging patterns in AI legislation4 minutes
4.5 Best Practices: Learn from countries leading in AI policy implementation3 minutes
4.6 Challenges in Harmonization: Difficulties in creating unified global standards5 minutes
4.7 Data Governance and Privacy Laws2 minutes
4.8 Data Protection Regulations: GDPR and CCPA Laws3 minutes
4.9 Consent Mechanisms: Lawful processing of personal data3 minutes
4.10 Data Sovereignty: Issues of Data Localization4 minutes
4.11 Cross-border Data Flows: Agreements facilitating International data transfer2 minutes
4.12 Enforcement and Compliance: Penalties and Enforcement mechanisms3 minutes
4.13 Intellectual Property Rights in AI4 minutes
4.14 Ownership of AI-generated Works2 minutes
4.15 Patenting AI Technologies: Patentability of AI algorithms and systems3 minutes
4.16 Licensing and Open-Source AI: Impact of open-source models on innovation3 minutes
4.17 Trade Secrets and Confidentiality: Protecting proprietary AI technologies3 minutes
4.18 Legal Disputes: Review landmark cases involving AI and IP rights3 minutes
4.19 Liability and Accountability in AI Systems2 minutes
4.20 Product Liability Laws: Applying existing laws to AI products and services2 minutes
4.21 Determining Responsibility: Accountability among developers, users, and others4 minutes
4.22 Regulatory Approaches: Strict liability vs. Negligence standards4 minutes
4.23 Insurance for AI Risks: Insurance solutions for AI-related liabilities3 minutes
4.24 Precedent Cases: Analyse legal cases involving AI mishaps3 minutes
4.25 Policy Development Process: Steps from Issue identification to Enactment3 minutes
4.26 Stakeholder Consultation: Engaging various groups during policy formulation3 minutes
4.27 Impact Assessments: Conduct evaluations to predict policy outcomes6 minutes
4.28 Drafting Legislation: Components of effective AI laws4 minutes
4.29 Implementation and Enforcement: Practical enforcement of new regulations3 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

7 pluginsTotal 105 minutes

eBook: Module 04: Legal and Regulatory Frameworks for AI15 minutes
Activity: Tab15 minutes
Activity: Hotspot15 minutes
Activity: Drag and drop15 minutes
Activity: Scenario15 minutes
Activity: Carousel15 minutes
Graded Assessment15 minutes

What's included

31 videos1 reading1 assignment7 plugins

31 videosTotal 398 minutes

Audiobook: Module 5 - AI Risk Management and Security196 minutes
Podcast 5 - AI Risk Management and Security102 minutes
5.1 AI Safety and Security Challenges2 minutes
5.2 Adversarial Attacks: How AI systems can be manipulated?2 minutes
5.3 Robustness of AI Models: Ensuring reliability of AI performance under varied conditions3 minutes
5.4 Ethical Hacking: White-Hat techniques to test AI security.3 minutes
5.5 Safety in Autonomous Systems: Addressing risks in self-driving cars and drones3 minutes
5.6 Standards and Guidelines: Review of NIST and ISO standards for AI security5 minutes
5.7 Identifying Risks: Frameworks to pinpoint potential AI-related risks2 minutes
5.8 Quantifying Risks1 minute
5.9 Risk Mitigation Plans: Strategies to reduce or eliminate risks3 minutes
5.10 Continuous Monitoring: Systems to monitor AI performance over time2 minutes
5.11 Compliance and Auditing: Ensuring Adherence to risk management policies2 minutes
5.12 Cybersecurity and AI2 minutes
5.13 AI for Cyber Defense: AI techniques to detect and prevent cyber threats2 minutes
5.14 Cyber Threats to AI Systems: Protecting AI from hacking and data breaches.4 minutes
5.15 Secure AI Development Practices: Incorporating security from the ground up3 minutes
5.16 Incident Response Planning: Preparedness for potential cybersecurity incidents.3 minutes
5.17 Regulatory Requirements: Laws related to cybersecurity in AI3 minutes
5.18 Ensuring Reliability and Resilience3 minutes
5.19 System Redundancies: How AI systems with backups to prevent failures?1 minute
5.20 Fault Tolerance: Ensuring AI can handle errors without catastrophic outcomes.2 minutes
5.21 Stress Testing: Process of testing AI under extreme conditions to assess resilience4 minutes
5.22 Maintenance and Updates: Process of Keeping AI systems current to avoid vulnerabilities4 minutes
5.23 Disaster Recovery Plans: Process of Preparing for rapid recovery after a system failure4 minutes
5.24 Incident Response and Crisis Management4 minutes
5.25 Developing Response Protocols: Clear procedures for AI incidents4 minutes
5.26 Communication Strategies: Managing internal and public communication during crises.4 minutes
5.27 Legal Obligations: Fulfilling reporting requirements to authorities.3 minutes
5.28 Post-Incident Analysis: Learn from incidents to prevent future occurrences.4 minutes
5.29 Stakeholder Coordination: Work with partners and regulators during a crisis.4 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

7 pluginsTotal 105 minutes

eBook: Module 05: AI Risk Management and Security15 minutes
Activity: Tab15 minutes
Activity: Drag and drop15 minutes
Activity: Sequence15 minutes
Activity: Problem statement15 minutes
Activity: Scenario15 minutes
Graded Assessment15 minutes

What's included

29 videos1 reading1 assignment7 plugins

29 videosTotal 450 minutes

Audiobook: Module 6 - Economic Impacts of AI209 minutes
Podcast 6 - Economic Impacts of AI114 minutes
6.1 AI and the Future of Work3 minutes
6.2 Automation Potential: Assessment of jobs susceptibility to AI automation3 minutes
6.3 Reskilling and Upskilling: Programs to retrain the workforce4 minutes
6.4 New Job Creation: New roles emerging from AI advancements4 minutes
6.5 Labour Market Policies: Policies to support displaced workers5 minutes
6.6 Social Safety Nets: Strengthen systems like unemployment benefits and UBI4 minutes
6.7 AI's Role in Economic Growth Productivity Enhancement: AI's impact on efficiency and output.5 minutes
6.8 Industry Transformation: How AI disrupts traditional business models4 minutes
6.9 Innovation Acceleration: AI as a driver of technological innovation4 minutes
6.10 Global Competitiveness: Position economies to lead in the AI landscape.7 minutes
6.11 Economic Forecasting: AI assistance in improving economic predictions and planning4 minutes
6.12 Supporting AI Innovation and Entrepreneurship4 minutes
6.13 Research and Development Incentives: Grants and Tax incentives for AI R&D3 minutes
6.14 Start-up Ecosystems: Fostering environments conducive to AI start up growth7 minutes
6.15 Intellectual Property Support: Helping innovators protect their AI inventions.2 minutes
6.16 Access to Capital: Improve funding avenues for AI entrepreneurs.7 minutes
6.17 Incubators and Accelerators: Establish programs to nurture AI businesses3 minutes
6.18 Bridging the Digital Divide: Infrastructure gaps hindering AI adoption.4 minutes
6.19 Capacity Building: Invest in education and training for AI skills3 minutes
6.20 Localized AI Solutions: Encouraging AI development tailored to local needs.5 minutes
6.21 International Support and Collaboration: Leveraging global partnerships for AI growth7 minutes
6.22 Addressing Economic Inequalities4 minutes
6.23 Inclusive AI Policies: Ensuring AI benefits are distributed equitably3 minutes
6.24 Taxation of AI-driven Enterprises: Tax policies for companies profiting from AI3 minutes
6.25 Supporting Vulnerable Populations: Developing programs targeting those most affected by AI disruption3 minutes
6.26 Access to AI Education: Promoting widespread AI literacy4 minutes
6.27 Monitoring Inequality Metrics: Usage of AI to track and analyse economic disparities3 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

7 pluginsTotal 105 minutes

eBook: Module 06: Economic Impacts of AI15 minutes
Activity: True/false15 minutes
Activity: Case study15 minutes
Activity: Multiple response15 minutes
Activity: Tab15 minutes
Activity: Pop-up15 minutes
Graded Assessment15 minutes

What's included

32 videos1 reading1 assignment7 plugins

32 videosTotal 401 minutes

Audiobook: Module 7 - AI Strategy, Implementation, and Collaboration166 minutes
Podcast 7 - AI Strategy, Implementation, and Collaboration116 minutes
7.1 Developing National AI Strategies 2 minutes
7.2 Setting Vision and Goals: Defining clear objectives for AI integration3 minutes
7.3 Stakeholder Alignment: Process of ensuring alignment across government, industry, and academia2 minutes
7.4 Policy Coherence: Integrating AI strategy with other national policies3 minutes
7.5 Resource Allocation: Plan for the financial and human resources needed5 minutes
7.6 Measuring Success: Establishing KPIs to track progress3 minutes
7.7 Building AI Capabilities in the Public Sector3 minutes
7.8 Talent Acquisition: Recruit skilled professionals in AI and data science6 minutes
7.9 Training Programs: Implementing Continuous Learning Opportunities5 minutes
7.10 Organizational Structures: Creating dedicated AI units or departments3 minutes
7.11 Technology Infrastructure: Investment in necessary hardware and software3 minutes
7.12 Collaboration Platforms: Encourage knowledge sharing across agencies2 minutes
7.13 Public-Private Partnerships in AI3 minutes
7.14 Collaborative Models: Joint ventures, Consortia, and Alliances2 minutes
7.15 Risk Sharing: Distribute risks and rewards among partners6 minutes
7.16 Governance Structures: Roles and Responsibilities2 minutes
7.17 Conflict of Interest Management: Implementing policies to handle potential conflicts4 minutes
7.18 Success Stories: Study effective partnerships and their outcomes1 minute
7.19 Funding and Investment in AI2 minutes
7.20 Government Funding Mechanisms: Utilizing grants, subsidies, and incentives4 minutes
7.21 Private Investment Attraction: Creating favourable conditions for investors3 minutes
7.22 International Funding Opportunities: Accessing funds from global organizations3 minutes
7.23 Budgeting for AI Projects: Process of Planning and allocating budgets effectively3 minutes
7.24 Financial Oversight: Ensuring transparent and accountable use of funds3 minutes
7.25 Monitoring, Evaluation, and Continuous Improvement4 minutes
7.26 Performance Measurement: Use data to assess AI initiatives4 minutes
7.27 Feedback Loops: Incorporation of stakeholder feedback into program adjustments3 minutes
7.28 Adaptive Strategies: Preparedness to modify strategies based on outcomes6 minutes
7.29 Benchmarking: Compare performance against best practices and standards3 minutes
7.30 Reporting and Transparency: Publishing results to maintain accountability4 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

7 pluginsTotal 105 minutes

eBook: Module 07: AI Strategy, Implementation, and Collaboration15 minutes
Activity: Sequence15 minutes
Activity: Case study15 minutes
Activity: Fill in the blank15 minutes
Activity: Tab15 minutes
Activity: Scenario15 minutes
Graded Assessment15 minutes

What's included

32 videos1 reading1 assignment7 plugins

32 videosTotal 413 minutes

Audiobook: Module 8 - Shaping the Future of AI Policy194 minutes
Podcast 8 - Shaping the Future of AI Policy99 minutes
8.1 Emerging AI Technologies and Trends3 minutes
8.2 Artificial General Intelligence (AGI): Implications of AGI development4 minutes
8.3 Quantum Computing and AI: How quantum advances may accelerate AI?3 minutes
8.4 Brain-Computer Interfaces: Ethical and Policy considerations4 minutes
8.5 Edge AI and IoT Integration: Security and Privacy factors in interconnected devices.4 minutes
8.6 Predictive Policy-Making: AI to anticipate future societal needs.3 minutes
8.7 International Cooperation on AI Governance2 minutes
8.8 Global Standards Development: Setting international AI norms.3 minutes
8.9 Cross-Border Data Policies: Harmonizing data regulations for seamless AI operations.2 minutes
8.10 Ethical Consensus Building: Collaborate on global ethical AI frameworks.4 minutes
8.11 Conflict Resolution: AI's role in international security and warfare.2 minutes
8.12 AI and the Sustainable Development Goals (SDGs)4 minutes
8.13 Aligning AI with SDGs: Mapping of AI initiatives to specific SDGs.3 minutes
8.14 AI for Environmental Sustainability: How AI is used to combat climate change and preserve biodiversity?3 minutes
8.15 Healthcare Improvements: Leveraging AI to achieve health-related SDGs.2 minutes
8.16 Education and AI: Promoting quality education through AI tools2 minutes
8.17 Measuring Impact on SDGs: AI analytics to track progress toward goals.2 minutes
8.18 Public Engagement and Transparency2 minutes
8.19 Citizen Participation: Public input in AI policy-making3 minutes
8.20 Awareness Campaigns: Educating public about AI benefits and risks.5 minutes
8.21 Transparency Measures: Openness in AI systems affecting the public4 minutes
8.22 Addressing Misinformation: Combating AI-generated fake news and deep fakes.4 minutes
8.23 Trust-Building Strategies: Fostering trust through accountability and ethical practices.4 minutes
8.24 The Future of AI Policy Making2 minutes
8.25 Anticipatory Governance: Preparation for future AI developments proactively.4 minutes
8.26 Policy Innovation Labs: Experiment with new policy approaches in controlled environments.5 minutes
8.27 Interdisciplinary Collaboration: Integrating insights from various fields into AI policy.5 minutes
8.28 Ethical Leadership: Promoting leaders who prioritize ethical considerations.5 minutes
8.29 Vision for AI and Society: Long-term vision for AI's role in humanity's future.4 minutes
Course Summary 5 minutes

1 readingTotal 10 minutes

Hands On10 minutes

1 assignmentTotal 30 minutes

Quiz 830 minutes

7 pluginsTotal 105 minutes

eBook: Module 08: Shaping the Future of AI Policy 15 minutes
Activity: Fill-in-the blank15 minutes
Activity: Sequence15 minutes
Activity: Sequence15 minutes
Activity: Problem statement15 minutes
Activity: True/false15 minutes
Graded Assessment15 minutes

Instructor

AI CERTs Team

AI CERTs

34 Courses7,491 learners

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AI CERTs

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Frequently asked questions

This course is ideal for policy makers, public administrators, business leaders, analysts, and professionals involved in strategy, governance, or regulation.

No coding is required. A basic understanding of AI concepts and interest in policy or strategic decision-making is sufficient.

It focuses on AI’s role in policy design, governance, ethics, risk management, and strategic leadership rather than technical model building.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.