AI+ Ethics Online Course
Length
1 day / 1 week
Price
$899
Days
Mon - Fri
Why Choose This Course
An AI Ethics online course teaches you how to use AI responsibly. It covers things like spotting bias, protecting user data, being transparent about how AI makes decisions, and meeting legal and governance requirements.
It is designed for individuals who wish to pursue careers in AI technology or among AI product managers, data specialists, compliance professionals, and business executives. It enables you to make informed and responsible choices without requiring any knowledge of computer science.
If you’re working in technology, data science, product development, or compliance, you’re likely going to encounter AI ethics issues sooner rather than later. But knowing how to address those issues is another matter entirely.
This online AI ethics course will equip you with the knowledge to identify risks proactively. This means you will be able to evaluate potential bias in models, document the intended behavior of an AI system for various stakeholders, and implement necessary controls and governance frameworks.
The course content includes scenarios encountered in a professional setting. The topics covered range from data protection laws, explainable AI, to governance frameworks and ethical impact assessments, among others, and are all directly related to the decisions you are required to make at work.
The course is designed to help professionals who have to act as liaisons between their company’s technical teams and the business or compliance department. This could be when assessing the deployment of an AI model or discussing new features for products and services based on AI, or even building a responsible AI framework for the entire organization.
The course is exam-oriented and includes a certificate of attendance.
Prerequisites
Recommended background includes familiarity with basic AI and machine learning concepts, an understanding of professional ethics, awareness of the social impact of technology, and a general understanding of laws and standards that affect AI.
Exam
Candidates can achieve this certification by passing the following exam(s).
AI+ Ethics, Exam code AC‑120
Books
Flexible Delivery Options
- Live virtual online training attend in real-time from anywhere
Skills Gained
* Understand the ethical problems and social impacts of AI use in products and services.
* Conduct social and ethical impact estimates for AI initiatives.
* Identify bias in data and models and apply mitigation strategies.
* Apply fairness and non‑discrimination principles in AI decision-making.
* Explain the structure and behavior to non‑technical stakeholders using transparent communication strategies.
* Address privacy and data protection concerns in AI workflows.
* Identify security risks from AI systems and propose secure solutions.
* Define accountability, roles, and governance models for AI programs.
* Model of AI initiatives to legal and regulatory responsibilities and internal policies
* Use ethical decision‑making frameworks to resolve trade‑offs in real examples.
* Establish AI governance practices, including policies, controls, and monitoring.
* Align AI work with global AI ethics and governance standards and frameworks.
* Plan and apply human oversight throughout the AI lifecycle.
* Document risk, controls, and residual issues for audit and assurance
* Engage stakeholders and build an ethical culture across teams.
Who Should Attend?
- Business and technology leaders responsible for AI adoption and oversight
- Product managers, project managers, and business analysts working with AI features
- Data, AI, and software professionals who need to embed responsible AI practices
- Governance, risk, compliance, privacy, and legal professionals supporting AI programmes
- Public sector and industry practitioners seeking exam‑aligned AI ethics training
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- Foundations of AI ethics and responsible AI
- Societal impact of AI and stakeholder analysis
- How to run social and ethical impact assessments
- AI lifecycle risks from problem framing to decommissioning
- Data governance for AI including data quality and provenance
- Bias sources in data and models and techniques for mitigation
- Fairness concepts and evaluation approaches
- Transparency and explainability principles for different model types
- Communicating model behaviour to diverse audiences
- Privacy by design for AI, de‑identification, and data minimisation
- Security considerations for AI systems and model supply chains
- Accountability, roles, and lines of defence in AI programmes
- Human oversight models including human in the loop and escalation
- Legal and regulatory landscape for AI and data protection
- Introduction to EU AI Act concepts and obligations at a high level
- Ethical decision‑making frameworks and how to apply them
- Governance operating models, policies, and control libraries
- Monitoring, incident handling, and model change management
- Documentation, audit readiness, and evidence collection
- Global AI ethics standards and frameworks overview
- Organisational change, training, and culture for responsible AI
- Case studies and guided practice applying ethics to AI scenarios
Terms & Conditions
Frequently Asked Questions (FAQ's)
What does the AI+ Ethics course cover
Who should take this course
How is the course assessed
What are the best online courses for learning AI ethics?
Is AI training ethical?
How can I become an AI ethicist?
There’s no single fixed path, but most AI ethicists come from backgrounds in philosophy, law, social science, or tech policy — sometimes a mix. Start by studying AI fundamentals alongside ethics frameworks, then build experience through research or policy work. Training Courses Now offers a practical starting point if you want structured learning without needing a postgrad degree first.
What are the 5 principles of AI ethics?
What are the 4 pillars of AI ethics?
Are AI ethicists in demand?
Our Partnership
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