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AI+ Ethics Fundamentals™

Name: AI+ Ethics Fundamentals™
Brand: Learning People
Price: 149.00 GBP
Availability: InStock

The AI+ Ethics™ self-paced learning course by AI CERTs® is a flexible certification program designed to equip business leaders, compliance officers, developers, and policy professionals with practical skills to design, deploy, and govern AI systems responsibly, mitigate algorithmic bias, ensure data privacy, and maintain compliance with global regulatory standards like the EU AI Act.

Course Overview

Responsible AI Focus: Master ethical AI use aligned with business and societal values

Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making

Strategic Guidance: Integrate ethical practices into AI adoption and leadership

Reputation Builder: Build organisational trust and credibility in AI deployments

Certification overview:

Included Items: Instructor-led OR Self-paced course + Official exam + Digital badge

Certificate Duration:

Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content

Prerequisites: Basic knowledge of artificial intelligence, machine learning concepts, familiarity with Python, fundamental AI/ML concepts

Exam Format: 50 questions, 70% passing mark, 90 minutes, online proctored exam

Why this certification matters:

In-Depth Ethical Understanding: Understand ethical considerations and social impacts of AI for responsible decision-making. Bias Mitigation and Fairness: Learn strategies to identify and prevent biases in AI systems, ensuring fairness and transparency. Privacy and Security Assurance: Explore strategies to safeguard privacy and secure AI systems and data. Legal and Regulatory Compliance: Understand global AI regulations to ensure compliance with legal and ethical standards.

Who should enrol:

Ethics Professionals:Enhance your expertise in AI ethics to guide responsible AI deployment.

AI & Data Enthusiasts:Learn how to apply ethical frameworks in AI decision-making processes.

Compliance Officers:Ensure AI technologies comply with legal and ethical standards to mitigate risks.

Technology Leaders:Drive ethical AI strategies and lead responsible AI initiatives within organisations.

Students & New Graduates:Gain a competitive edge in the rapidly growing field of AI ethics.

Prerequisites

Foundational knowledge of Artificial Intelligence and Machine Learning concepts.
Awareness of social, cultural, and political impacts of AI adoption.
Understanding of professional ethics, including honesty, integrity, and accountability.
Experience with real-world AI case studies that highlight ethical dilemmas.
Ability to assess and make informed, ethical decisions in deploying AI systems.
Familiarity with relevant laws, industry regulations, and governance frameworks for AI technologies.

Exam Blueprint

Module	Percentage
Overview of AI Ethics & Societal Impact	10
Bias and Fairness in AI	5
Transparency and Explainable AI	10
Overview of AI Ethics & Societal Impact	5

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Engaging visual content to enhance understanding and learning experience.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

Tools You'll Master

AI4People (Atomium - European Institute for Science, Media, and Democracy)

IBM - AI Fairness 360

IBM - AI Explainability 360

European Commission High-Level Expert Group on AI

What will you learn?

Strategic Thinking

Plan and integrate AI solutions strategically to align with organizational goals while anticipating commercial consequences.

Ethical Decision-Making Skills

Learn frameworks to address complex ethical challenges in AI, focusing on accountability and minimizing risks.

Project Management

Implement and monitor AI initiatives with a focus on transparency, security, and fairness in AI applications.

Compliance and Governance Practices

Gain expertise in legal and regulatory aspects of AI, ensuring adherence to ethical norms and mitigating risks.

Certification Modules

Course Overview

Course Introduction Preview

Module 1: Foundations of AI Ethics and Responsible AI

1.1 Understanding AI in a Modern Ethics Context

1.2 The Societal Impact of AI Technologies

1.3 Core Principles and Stakeholders

1.4 Building AI Literacy for the Workplace

1.5 Human Rights, Democracy, and AI Ethics

1.6 Case Studies

Module 2: Bias, Fairness, and Inclusion in AI

2.1 Where Bias Enters AI Systems

2.2 Fairness Concepts and Practical Evaluation

2.3 Mitigation and Inclusive Design

2.4 Applied Fairness Cases

2.5 Case Studies

Module 3: Transparency, Explainability, and Documentation

3.1 Why Transparency Matters

3.2 Explainability Methods and Documentation Standards

3.3 Communicating AI Decisions Responsibly

3.4 Transparency, Documentation, and Governance Practices

3.5 Case Studies

Module 4: Privacy, Security, and AI Data Governance

4.1 Privacy Principles in AI

4.2 AI Data Governance and Data Quality

4.3 Security Risks in AI Systems

4.4 Privacy-Preserving AI Techniques

4.5 Content Authenticity, Provenance, and Trust

4.6 Real World Case Studies

Module 5: Accountability, Oversight, and AI Governance

5.1 Accountability Across the AI Lifecycle

5.2 Human Oversight and Control

5.3 Risk Management and Assurance

5.4 Red Teaming and Safety Testing

5.5 Governance Operating Model

5.6 Grievance and Remedy Processes

5.7 System Retirement and Decommissioning

5.8 Applied Case Studies

Module 6: Legal, Regulatory, and Standards Landscape

6.1 International Principles and Treaties

6.2 Management and Technical Standards

6.3 Binding Regional Laws

6.4 National Guidance and Voluntary Frameworks

6.5 Sector-Specific and Cross-Border Compliance

6.6 Case Studies

Module 7: Generative AI, Agentic AI, and Responsible Deployment

7.1 How Modern Generative and Agentic AI Systems Work

7.2 New Risks Introduced by Generative AI

7.3 Agentic AI Risks and Governance

7.4 Evaluation and Safe Deployment

7.5 Responsible Use Cases and Boundaries

Module 8: Capstone - AI Ethics Impact Assessment and Governance Plan

8.1 Select an AI Use Case

8.2 Perform an Ethics and Risk Assessment

8.3 Develop an AI Governance Package Using the NIST AI RMF

8.4 Final Capstone Deliverable

8.5 Review and Reflection

Optional Module: AI Agents for Ethics

1.1 What Are AI Agents?

1.2 Applications and Trends of AI Agents for Ethics

1.3 How Does an AI Agent Work?

1.4 Core Characteristics of AI Agents

1.5 Importance of AI Agents

1.6 Types of AI Agents

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Frequently Asked Questions

What core industry problems does the AI+ Ethics™ Self-Paced Learning V3 training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.