Masterclass Certificate in AI in Public Policy Development
-- viewing nowArtificial Intelligence (AI) in Public Policy Development is a transformative field that leverages AI to create data-driven policies. This Masterclass is designed for policy professionals and data scientists who want to harness the power of AI to drive positive change.
3,621+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through interactive lessons and real-world case studies, learners will gain a deep understanding of how to integrate AI into public policy development, from data collection and analysis to policy design and implementation.
Some key topics covered include:
AI for social good
Policy design and implementation
Data-driven decision making
By the end of this Masterclass, learners will be equipped with the skills and knowledge to create AI-powered policies that drive meaningful impact.
Join the conversation and start exploring the possibilities of AI in public policy development. Sign up for the Masterclass today and take the first step towards creating a better future for all.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Data-Driven Policy Design: This unit focuses on the application of data analytics and machine learning techniques to inform policy decisions, emphasizing the importance of data quality, availability, and interpretation in public policy development. •
Artificial Intelligence in Public Policy: This unit explores the role of AI in shaping public policy, including its potential applications, challenges, and ethical considerations, with a focus on AI for social good and its impact on society. •
Policy Evaluation and Impact Assessment: This unit covers the methods and tools used to evaluate the effectiveness of policies, including the use of data analytics, randomized controlled trials, and other evaluation techniques, with a focus on measuring policy impact and informing future policy decisions. •
AI and Bias in Public Policy: This unit examines the potential for bias in AI systems and their impact on public policy, including issues related to algorithmic bias, data bias, and the need for diverse and inclusive AI development teams. •
Public-Private Partnerships in AI Policy Development: This unit discusses the role of public-private partnerships in driving AI innovation and policy development, including the benefits and challenges of collaborative approaches, and the need for effective governance and regulation. •
AI and Governance: This unit explores the governance implications of AI on public policy, including issues related to accountability, transparency, and the need for regulatory frameworks that balance innovation with social responsibility. •
AI for Social Good: This unit focuses on the potential of AI to address social challenges, including issues related to healthcare, education, and environmental sustainability, with a focus on developing AI solutions that promote social equity and justice. •
AI and Human Rights: This unit examines the relationship between AI and human rights, including issues related to data protection, surveillance, and the need for AI systems that respect and protect human dignity and autonomy. •
AI Policy Communication and Engagement: This unit covers the importance of effective communication and engagement in AI policy development, including issues related to stakeholder engagement, public awareness, and the need for policymakers to be informed about AI issues and their implications. •
AI and the Future of Work: This unit explores the impact of AI on the future of work, including issues related to job displacement, skills training, and the need for policymakers to develop strategies that support workers and promote social inclusion in the AI-driven economy.
Data-Driven Policy Design: This unit focuses on the application of data analytics and machine learning techniques to inform policy decisions, emphasizing the importance of data quality, availability, and interpretation in public policy development. •
Artificial Intelligence in Public Policy: This unit explores the role of AI in shaping public policy, including its potential applications, challenges, and ethical considerations, with a focus on AI for social good and its impact on society. •
Policy Evaluation and Impact Assessment: This unit covers the methods and tools used to evaluate the effectiveness of policies, including the use of data analytics, randomized controlled trials, and other evaluation techniques, with a focus on measuring policy impact and informing future policy decisions. •
AI and Bias in Public Policy: This unit examines the potential for bias in AI systems and their impact on public policy, including issues related to algorithmic bias, data bias, and the need for diverse and inclusive AI development teams. •
Public-Private Partnerships in AI Policy Development: This unit discusses the role of public-private partnerships in driving AI innovation and policy development, including the benefits and challenges of collaborative approaches, and the need for effective governance and regulation. •
AI and Governance: This unit explores the governance implications of AI on public policy, including issues related to accountability, transparency, and the need for regulatory frameworks that balance innovation with social responsibility. •
AI for Social Good: This unit focuses on the potential of AI to address social challenges, including issues related to healthcare, education, and environmental sustainability, with a focus on developing AI solutions that promote social equity and justice. •
AI and Human Rights: This unit examines the relationship between AI and human rights, including issues related to data protection, surveillance, and the need for AI systems that respect and protect human dignity and autonomy. •
AI Policy Communication and Engagement: This unit covers the importance of effective communication and engagement in AI policy development, including issues related to stakeholder engagement, public awareness, and the need for policymakers to be informed about AI issues and their implications. •
AI and the Future of Work: This unit explores the impact of AI on the future of work, including issues related to job displacement, skills training, and the need for policymakers to develop strategies that support workers and promote social inclusion in the AI-driven economy.
Career path
Masterclass Certificate in AI in Public Policy Development
**Career Roles in AI for Public Policy**
| **Role** | **Description** | **Industry Relevance** |
|---|---|---|
| Data Scientist | Design and implement AI models to analyze complex data and inform public policy decisions. | Highly relevant in public policy development, as data scientists can provide insights on the impact of AI on society. |
| Machine Learning Engineer | Develop and deploy machine learning models to solve complex problems in public policy, such as predictive analytics and decision support systems. | Extremely relevant in public policy development, as machine learning engineers can provide AI-powered solutions to complex problems. |
| Business Analyst | Analyze business needs and develop AI solutions to improve public policy outcomes, such as optimizing resource allocation and predicting policy effectiveness. | Highly relevant in public policy development, as business analysts can provide insights on the impact of AI on business operations. |
| Quantitative Analyst | Develop and apply mathematical models to analyze complex data and inform public policy decisions, such as risk analysis and policy evaluation. | Very relevant in public policy development, as quantitative analysts can provide insights on the impact of AI on risk and policy evaluation. |
| Data Analyst | Analyze and interpret complex data to inform public policy decisions, such as data visualization and reporting. | Highly relevant in public policy development, as data analysts can provide insights on the impact of AI on data analysis and reporting. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
MASTERCLASS CERTIFICATE IN AI IN PUBLIC POLICY DEVELOPMENT
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
