AI+ Ethics™
AC-120
Navigate the Intersection of AI and Ethics in Business Landscape- 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
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Job Roles & Industry Outlook
Sales Specialist
Leverage AI tools to improve lead scoring, sales forecasting, and customer engagement.
Digital Marketing Specialist
Design and execute AI-powered marketing campaigns that personalize customer journeys, optimize targeting, and maximize ROI.
Business Intelligence Analyst
Transform data into actionable insights by applying AI-driven analytics to guide smarter business decisions.
Customer Experience Strategist
Harness AI to personalize customer journeys, automate support, and create seamless experiences that drive loyalty.
Business Analyst
Analyze business processes and ensure AI initiatives comply with legal, ethical, and regulatory standards.
Data Science & AI Specialist
Turn complex datasets into actionable insights by applying AI and machine learning models to solve business challenges.
Industry Growth: AI+ Ethics™
- 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 Enroll?
- 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 organizations.
- Students & New Graduates:Gain a competitive edge in the rapidly growing field of AI ethics.
What You'll Learn
- Course Introduction Preview
- 2.1 Exploration of Biases in Data and Algorithms Preview
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
- Study frameworks for holding organizations accountable for the ethical use of AI.
- Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
- 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
- 7.2 Case Studies and Applications of Ethical Decision-Making
- 7.3 Use of Simulation Platforms in Ethical Decision-Making
- 8.1 Principles and Functions of International AI Governance
- 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
- 8.3 Case Studies on AI Governance
- 9.1 Explore Standards: IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Tools You'll Explore
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
Prerequisites
- Basic knowledge of artificial intelligence, machine learning concepts, Python familiarity, fundamental AI/ML concepts
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Overview of AI Ethics & Societal Impact - 10%
- Module 2: Bias and Fairness in AI - 10%
- Module 3: Transparency and Explainable AI - 10%
- Module 4: Privacy and Security Issues in AI - 10%
- Module 5: Accountability and Responsibility - 10%
- Module 6: Legal and Regulatory Issues - 10%
- Module 7: Ethical Decision-Making Frameworks - 10%
- Module 8: AI Governance & Best Practices - 10%
- Module 9: Global AI Ethics Standards - 10%
- Optional Module: AI Agents for Ethics and Its Implications - 10%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.