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

Erwerben Sie mit Coursera Plus für 199 $ (regulär 399 $) das nächste Level. Jetzt sparen.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

AI+ Policy Maker

Dozent: AI CERTs Team

Bei enthalten

Mehr erfahren

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

7 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

7 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Public Policies
Kategorie: Governance Risk Management and Compliance
Kategorie: Policy Development
Kategorie: Generative AI Agents
Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Economics, Policy, and Social Studies
Kategorie: Business Economics
Kategorie: Data Governance
Kategorie: Regulation and Legal Compliance
Kategorie: Governance
Kategorie: Artificial Intelligence
Kategorie: Business Ethics
Kategorie: Generative AI
Kategorie: Policy Analysis
Kategorie: Cyber Governance
Kategorie: Social Impact
Kategorie: Policty Analysis, Research, and Development

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Januar 2026

Bewertungen

8 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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In diesem Kurs gibt es 8 Module

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.

Das ist alles enthalten

32 Videos3 Lektüren1 Aufgabe7 Plug-ins

32 VideosInsgesamt 382 Minuten

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

3 LektürenInsgesamt 30 Minuten

Hands On 110 Minuten
Hands On 210 Minuten
Hands On 310 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 130 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

27 Videos1 Lektüre1 Aufgabe7 Plug-ins

27 VideosInsgesamt 295 Minuten

Audiobook: Module 2 - AI in Governance and Public Policy129 Minuten
Podcast 2 - AI in Governance and Public Policy 96 Minuten
2.1 Enhancing Service Delivery: How AI can improve efficiency and responsiveness in public services5 Minuten
2.2 Policy Analysis and Decision-Making: AI's role in data-driven policy formulation3 Minuten
2.3 Smart Cities: AI applications in urban planning and management3 Minuten
2.4 Citizen Engagement: AI tools for improving public participation and feedback2 Minuten
2.5 Digital Government Transformation: Impact of AI on e-governance initiatives2 Minuten
2.6 Healthcare: AI's role in predictive diagnostics and personalized medicine5 Minuten
2.7 Education: AI-driven personalized learning and administrative efficiency3 Minuten
2.8 Law Enforcement: Use of AI in surveillance, predictive policing, and legal analytics3 Minuten
2.9 Transportation: AI in traffic management and autonomous vehicles4 Minuten
2.10 Environmental Management: AI applications in monitoring and combating climate change4 Minuten
2.11 Automated Compliance Monitoring: How AI can ensure adherence to regulations3 Minuten
2.12 Fraud Detection: AI techniques for identifying fraudulent activities3 Minuten
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 Minuten
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 Minuten
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 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 230 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

30 Videos1 Lektüre1 Aufgabe7 Plug-ins

30 VideosInsgesamt 251 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands on10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 330 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

31 Videos1 Lektüre1 Aufgabe7 Plug-ins

31 VideosInsgesamt 356 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 430 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

31 Videos1 Lektüre1 Aufgabe7 Plug-ins

31 VideosInsgesamt 398 Minuten

Audiobook: Module 5 - AI Risk Management and Security196 Minuten
Podcast 5 - AI Risk Management and Security102 Minuten
5.1 AI Safety and Security Challenges2 Minuten
5.2 Adversarial Attacks: How AI systems can be manipulated?2 Minuten
5.3 Robustness of AI Models: Ensuring reliability of AI performance under varied conditions3 Minuten
5.4 Ethical Hacking: White-Hat techniques to test AI security.3 Minuten
5.5 Safety in Autonomous Systems: Addressing risks in self-driving cars and drones3 Minuten
5.6 Standards and Guidelines: Review of NIST and ISO standards for AI security5 Minuten
5.7 Identifying Risks: Frameworks to pinpoint potential AI-related risks2 Minuten
5.8 Quantifying Risks1 Minute
5.9 Risk Mitigation Plans: Strategies to reduce or eliminate risks3 Minuten
5.10 Continuous Monitoring: Systems to monitor AI performance over time2 Minuten
5.11 Compliance and Auditing: Ensuring Adherence to risk management policies2 Minuten
5.12 Cybersecurity and AI2 Minuten
5.13 AI for Cyber Defense: AI techniques to detect and prevent cyber threats2 Minuten
5.14 Cyber Threats to AI Systems: Protecting AI from hacking and data breaches.4 Minuten
5.15 Secure AI Development Practices: Incorporating security from the ground up3 Minuten
5.16 Incident Response Planning: Preparedness for potential cybersecurity incidents.3 Minuten
5.17 Regulatory Requirements: Laws related to cybersecurity in AI3 Minuten
5.18 Ensuring Reliability and Resilience3 Minuten
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 Minuten
5.21 Stress Testing: Process of testing AI under extreme conditions to assess resilience4 Minuten
5.22 Maintenance and Updates: Process of Keeping AI systems current to avoid vulnerabilities4 Minuten
5.23 Disaster Recovery Plans: Process of Preparing for rapid recovery after a system failure4 Minuten
5.24 Incident Response and Crisis Management4 Minuten
5.25 Developing Response Protocols: Clear procedures for AI incidents4 Minuten
5.26 Communication Strategies: Managing internal and public communication during crises.4 Minuten
5.27 Legal Obligations: Fulfilling reporting requirements to authorities.3 Minuten
5.28 Post-Incident Analysis: Learn from incidents to prevent future occurrences.4 Minuten
5.29 Stakeholder Coordination: Work with partners and regulators during a crisis.4 Minuten

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 530 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

29 Videos1 Lektüre1 Aufgabe7 Plug-ins

29 VideosInsgesamt 450 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 630 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

32 Videos1 Lektüre1 Aufgabe7 Plug-ins

32 VideosInsgesamt 401 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 730 Minuten

7 Plug-insInsgesamt 105 Minuten

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

Das ist alles enthalten

32 Videos1 Lektüre1 Aufgabe7 Plug-ins

32 VideosInsgesamt 413 Minuten

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

1 LektüreInsgesamt 10 Minuten

Hands On10 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 830 Minuten

7 Plug-insInsgesamt 105 Minuten

eBook: Module 08: Shaping the Future of AI Policy 15 Minuten
Activity: Fill-in-the blank15 Minuten
Activity: Sequence15 Minuten
Activity: Sequence15 Minuten
Activity: Problem statement15 Minuten
Activity: True/False15 Minuten
Graded Assessment15 Minuten

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AI CERTs

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Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

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Häufig gestellte Fragen

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.