M K Junayed P.
Before 365:
Product development | Bikroy
After 365:
Assistant Manager (Analyst) | Green Delta Insurance PLC
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Online Course
trending topic
AI Ethics
with
Ned Krastev
and
Ivan Manov
Learn how AI impacts society and what it means to use it responsibly. Discover practical ways to build and work with fair, transparent, and trustworthy AI systems.
907 students already enrolled
Skill level:
Basic
Duration:
4 hours
-
Lessons (3 hours)
-
Practice exams (30 minutes)
- Lessons (3 hours)
- Practice exams (30 minutes)
CPE credits:
5.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited
certificate
What you learn
- Understand the key ethical challenges and concerns surrounding AI.
- Examine transparency, fairness, privacy, and accountability principles.
- Explore AI ethics about such laws as GDPR and the EU AI Act.
- Analyze real-world ethical dilemmas in AI applications and use cases.
- Handle misinformation, hallucinations, and intellectual property concerns.
Topics & tools
EthicsResponsible AI DevelopmentAI SafetyChatGPTGenerative AiArtificial IntelligencePrompt EngineeringAI
Your instructor
Founder & CEO, 365 Careers | Co-founder, 365 Data Science
Track record
Bringing real-world expertise from leading global companies
Academic background
Master's degree, Finance
Media and recognition
- Named by Forbes Bulgaria among the most successful in online ed
- 1.6M+ students in 210+ countries
- Courses used by employees at 80% of Fortune 500 companies
AI & Data Science Course Creator | Sound Engineer
Track record
Bringing real-world expertise from leading global companies
Academic background
Master's degree, Sound Engineering
Media and recognition
- Author of Speech Recognition with Python on 365DS & Udemy
- Speaker at Power Platform Bootcamp 2025 on Audio AI
- Sound Engineer for TV/Film incl. The Bachelor & award-winners
Course OVERVIEW
Description
CPE Credits: 5.5
Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
AI is reshaping the world. It drives everything from online shopping recommendations to self-driving cars. It’s incredible, impressive, and powerful. It’s so powerful that, at times, we struggle to control it in a way that genuinely benefits society without causing harm.
This AI Ethics course addresses the key ethical challenges in the development and use of artificial intelligence. The need for such guidelines has never been more urgent. AI engineers are racing to build tool after tool, users are eager to automate their workloads, businesses demand their employers to adopt AI quickly, and governments are competing to lead the AI innovation race. With AI booming at an unprecedented pace, its misuse is becoming just as frequent as the buzz around it.
Ethics are crucial in guiding this rapid expansion. They ensure that AI development stays within regulated, responsible boundaries and drives innovation without compromising human well-being.
This AI Ethics certification course takes you on a comprehensive journey through the complete AI lifecycle—from data collection to development and deployment. It’s a detailed yet easy-to-follow guide through each step of AI creation, breaking down the ethical challenges that come with it.
Explore AI ethics through captivating animations, engaging storytelling, and relevant real-world examples. This course covers ethical issues from user, business, and developer viewpoints—making complex subjects approachable and compelling, exactly how learning should be. These engaging videos swiftly clarify the major ethical dilemmas of AI, promoting its responsible use and creation. Included is a focused segment on ChatGPT—one of the most prevalent AI tools today—showcasing real-world issues and stimulating conversation examples. The course also explores global AI and data regulations—including GDPR, the EU AI Act, and other international policies. Knowing these rules is essential to staying compliant and avoiding heavy fines or even lawsuits.
The demand for AI ethics specialists is skyrocketing. Isn’t it time for you to become one?
Prerequisites
- No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course
Advanced preparation
Curriculum
50 lessons
33 exercises
2 exams
- 2. Introduction to AI and Data Ethics17 min
Discover the growing ethical concerns surrounding AI—from generative AI’s rise to the increasing gap between ethics and regulations. Learn why ethical considerations in AI are more pressing than ever.
17 minDiscover the growing ethical concerns surrounding AI—from generative AI’s rise to the increasing gap between ethics and regulations. Learn why ethical considerations in AI are more pressing than ever.
The Rise of Generative AI and Its Ethical ChallengesExerciseWhy AI Ethics Matter More Than EverExerciseEthics vs Laws - 3. The Core Principles of AI Ethics16 min
Uncover the foundational ethical principles guiding AI development. Learn why privacy, transparency, accountability, and fairness are at the heart of responsible AI.
16 minUncover the foundational ethical principles guiding AI development. Learn why privacy, transparency, accountability, and fairness are at the heart of responsible AI.
PrivacyTransparencyExerciseAccountabilityExerciseFairnessExercise - 4. Ethical Data Collection17 min
Explore how AI models depend on data and the ethical concerns involved in data collection. Understand the challenges of proprietary, public, and web-scraped data, along with fair representation and bias mitigation.
17 minExplore how AI models depend on data and the ethical concerns involved in data collection. Understand the challenges of proprietary, public, and web-scraped data, along with fair representation and bias mitigation.
Ethical Sourcing and Types of DataProprietary DataPublic DataExerciseWeb-Scraped DataExerciseDealing with Sensitive and Protected InformationData Bias and Fair RepresentationExercise - 5. Ethical AI Development23 min
Learn about the challenges and responsibilities of AI model training. Explore supervised and unsupervised learning ethics, reinforcement learning, and responsible fine-tuning to create fair and inclusive AI systems.
23 minLearn about the challenges and responsibilities of AI model training. Explore supervised and unsupervised learning ethics, reinforcement learning, and responsible fine-tuning to create fair and inclusive AI systems.
Ethical Challenges in Working with Labeled DataEthical Considerations for Unlabeled DataExerciseEthical Challenges in Unsupervised TrainingEthical Considerations for Supervised Fine-tuningRLHF and Ethical AI BehaviorInclusive and Fair AI Development PracticesExercise - 6. Ethical AI Deployment22 min
Understand the ethical concerns involved in AI deployment—including intellectual property rights, hallucinations, and the responsibilities of foundation model developers. Learn how to ensure ongoing AI risk mitigation.
22 minUnderstand the ethical concerns involved in AI deployment—including intellectual property rights, hallucinations, and the responsibilities of foundation model developers. Learn how to ensure ongoing AI risk mitigation.
Intellectual Property and User Consent in AI InteractionsExerciseEthical Responsibilities of Foundation Model DevelopersExerciseCommon Issues in Foundation Models: Open-Source DataExerciseInconsistencyHallucinationExerciseOngoing Monitoring and Risk Mitigation for Deployed AI - 7. Ethical AI for End-Users: Businesses16 min
Explore how businesses can adopt AI ethically, ensure transparency in decision-making, and manage risks associated with AI-generated content.
16 minExplore how businesses can adopt AI ethically, ensure transparency in decision-making, and manage risks associated with AI-generated content.
Access to AI Technology for Businesses of All SizesTransparency in AI Decision-Making ProcessesExerciseEthical Use of AI Outputs in BusinessResponsible Use of AI-Generated Outputs and Risk ManagementExercise - 8. Ethical AI for End-Users: Individuals10 min
Learn how individuals interact with AI ethically. Understand how human-AI collaboration should be approached and how AI-generated content can be used responsibly.
10 minLearn how individuals interact with AI ethically. Understand how human-AI collaboration should be approached and how AI-generated content can be used responsibly.
Equity in Access to AI TechnologyEthical Considerations in Human-AI CollaborationExerciseResponsible Use of AI-Generated Outputs - 9. ChatGPT Ethics29 min
Our AI Ethics course addresses ethical considerations for AI language models like ChatGPT. It explores privacy concerns, misinformation, plagiarism, and the responsible use of AI-generated text.
29 minOur AI Ethics course addresses ethical considerations for AI language models like ChatGPT. It explores privacy concerns, misinformation, plagiarism, and the responsible use of AI-generated text.
Understanding ChatGPTPrivacy Concerns with ChatGPTExerciseOpenAI’s Privacy Policies and Data HandlingMisinformation and AI-Generated ContentChatGPT PlagiarismExerciseResponsible Use of ChatGPT: What You Can and Can't DoChatGPT and the EnvironmentExercise - 10. Data and Regulatory Frameworks21 min
Understand global AI regulations, their impact on AI development, and what’s coming next. Learn about key policies—including GDPR, the EU AI Act, and worldwide AI governance strategies.
21 minUnderstand global AI regulations, their impact on AI development, and what’s coming next. Learn about key policies—including GDPR, the EU AI Act, and worldwide AI governance strategies.
Global AI and Data RegulationsEuropean Union: GDPR and the EU Artificial Intelligence ActUnited States: AI Regulation across StatesExerciseAsia-Pacific Region: Strong Government ControlAfrica's Push for AI GovernanceExerciseInternational Frameworks and StandardsThe Future of AI Ethics - What Should We Worry AboutPractice exam - 11. Course exam60 min60 minCourse exam
Free lessons
1.1 What Does the Course Cover
5 min
1.2 Intro to AI
2 min
1.3 AI vs Data Science vs Machine Learning
3 min
1.5 The AI Lifecycle: From Data Collection to Model Application
6 min
$29,000
average salary increase
after moving to an AI and data science career
96%
of our students recommend
365 Data Science.
9 in 10
of our graduates landed a new AI & data job
after enrollment
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-study learning plan.
How it WORKS
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