Global Certificate Course in Ethical AI for Student Learning
-- viewing now**Ethical AI** is transforming industries, but its impact raises important questions about responsibility and accountability. Our Global Certificate Course in Ethical AI is designed for students seeking to understand the principles and practices of responsible AI development.
5,327+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through interactive modules and expert-led discussions, learners will explore topics such as AI ethics, machine learning, and data governance.
By the end of the course, students will have a solid foundation in the social, economic, and environmental implications of AI and be equipped to design and implement more ethical AI solutions.
Join our community of learners and start exploring the possibilities and challenges of Ethical AI today!
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
•
Introduction to Ethical AI: Understanding the Basics of Artificial Intelligence and its Ethical Implications This unit provides an overview of the field of artificial intelligence, its applications, and the importance of ethics in AI development. Students will learn about the different types of AI, including machine learning, natural language processing, and computer vision, and how they are used in various industries. •
Fairness, Accountability, and Transparency (FAT) in AI Systems: Ensuring Bias-Free Decision Making This unit focuses on the importance of fairness, accountability, and transparency in AI systems. Students will learn about the concept of bias in AI, how to identify and mitigate it, and the role of explainability in ensuring transparent decision-making. •
Human-Centered Design for Ethical AI: Co-Creating with Humans to Develop AI that Benefits Society This unit introduces students to human-centered design principles and their application in ethical AI development. Students will learn how to co-create with humans to develop AI systems that prioritize human well-being, dignity, and values. •
AI and Human Rights: Navigating the Complexities of AI and Human Rights Law This unit explores the intersection of AI and human rights law. Students will learn about the current state of human rights law and its application to AI, including issues related to surveillance, data protection, and freedom of expression. •
AI and Mental Health: The Impact of AI on Mental Wellbeing and the Role of Ethical AI in Mitigating Harm This unit examines the impact of AI on mental health and wellbeing. Students will learn about the potential risks and benefits of AI on mental health and the role of ethical AI in mitigating harm and promoting positive outcomes. •
AI and Work: The Future of Work and the Need for Ethical AI in the Workplace This unit explores the impact of AI on the future of work. Students will learn about the potential benefits and risks of AI on employment and the need for ethical AI in the workplace to promote fairness, transparency, and accountability. •
AI and Data Governance: Ensuring Data Quality, Security, and Ethics in AI Development This unit focuses on the importance of data governance in AI development. Students will learn about data quality, security, and ethics and how to ensure that AI systems are developed and deployed in a responsible and transparent manner. •
AI and Society: The Role of Ethical AI in Shaping a Better Future for All This unit explores the broader social implications of AI and the role of ethical AI in shaping a better future for all. Students will learn about the potential benefits and risks of AI on society and the need for ethical AI to promote social justice, equality, and human dignity. •
AI and Policy: Developing Effective Policies for Ethical AI Development and Deployment This unit introduces students to the policy dimensions of AI and the need for effective policies to govern AI development and deployment. Students will learn about the current policy landscape and the role of governments, civil society, and industry in shaping AI policies that prioritize ethics and human values.
Introduction to Ethical AI: Understanding the Basics of Artificial Intelligence and its Ethical Implications This unit provides an overview of the field of artificial intelligence, its applications, and the importance of ethics in AI development. Students will learn about the different types of AI, including machine learning, natural language processing, and computer vision, and how they are used in various industries. •
Fairness, Accountability, and Transparency (FAT) in AI Systems: Ensuring Bias-Free Decision Making This unit focuses on the importance of fairness, accountability, and transparency in AI systems. Students will learn about the concept of bias in AI, how to identify and mitigate it, and the role of explainability in ensuring transparent decision-making. •
Human-Centered Design for Ethical AI: Co-Creating with Humans to Develop AI that Benefits Society This unit introduces students to human-centered design principles and their application in ethical AI development. Students will learn how to co-create with humans to develop AI systems that prioritize human well-being, dignity, and values. •
AI and Human Rights: Navigating the Complexities of AI and Human Rights Law This unit explores the intersection of AI and human rights law. Students will learn about the current state of human rights law and its application to AI, including issues related to surveillance, data protection, and freedom of expression. •
AI and Mental Health: The Impact of AI on Mental Wellbeing and the Role of Ethical AI in Mitigating Harm This unit examines the impact of AI on mental health and wellbeing. Students will learn about the potential risks and benefits of AI on mental health and the role of ethical AI in mitigating harm and promoting positive outcomes. •
AI and Work: The Future of Work and the Need for Ethical AI in the Workplace This unit explores the impact of AI on the future of work. Students will learn about the potential benefits and risks of AI on employment and the need for ethical AI in the workplace to promote fairness, transparency, and accountability. •
AI and Data Governance: Ensuring Data Quality, Security, and Ethics in AI Development This unit focuses on the importance of data governance in AI development. Students will learn about data quality, security, and ethics and how to ensure that AI systems are developed and deployed in a responsible and transparent manner. •
AI and Society: The Role of Ethical AI in Shaping a Better Future for All This unit explores the broader social implications of AI and the role of ethical AI in shaping a better future for all. Students will learn about the potential benefits and risks of AI on society and the need for ethical AI to promote social justice, equality, and human dignity. •
AI and Policy: Developing Effective Policies for Ethical AI Development and Deployment This unit introduces students to the policy dimensions of AI and the need for effective policies to govern AI development and deployment. Students will learn about the current policy landscape and the role of governments, civil society, and industry in shaping AI policies that prioritize ethics and human values.
Career path
| **Role** | **Description** |
|---|---|
| **Artificial Intelligence and Machine Learning Engineer** | Design and develop intelligent systems that can learn and adapt, with a focus on ethical considerations. |
| **Data Scientist** | Analyzing and interpreting complex data to inform business decisions, with a focus on ethical data handling. |
| **Business Intelligence Analyst** | Developing data-driven solutions to drive business growth, with a focus on ethical data analysis. |
| **Cyber Security Specialist** | Protecting computer systems and networks from cyber threats, with a focus on ethical hacking and incident response. |
| **Computer Vision Engineer** | Developing intelligent systems that can interpret and understand visual data, with a focus on ethical applications. |
| **Natural Language Processing Specialist** | Developing intelligent systems that can understand and generate human language, with a focus on ethical applications. |
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
GLOBAL CERTIFICATE COURSE IN ETHICAL AI FOR STUDENT LEARNING
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.
