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  • Ai Ethics

AI Ethics Courses

AI ethics courses can help you learn how artificial intelligence systems affect fairness, transparency, and accountability across different contexts. You can build skills in identifying bias, evaluating model impacts, and applying ethical frameworks to real-world examples. Many courses introduce tools for auditing datasets, reviewing system behavior, and assessing responsible AI practices that guide thoughtful decision-making.

Popular AI Ethics Courses and Certifications


  • M

    Microsoft

    Getting started with generative AI in Azure

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, AI Security, Data Ethics, Fine-tuning, LLM Application, AI literacy, AI Integrations, Artificial Intelligence, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Back-End Web Development, Application Design, Deep Learning, Model Evaluation

    ★ 4.5 (13) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI Projects: Plan, Track, Deliver

    Skills you'll gain: Risking, Project Controls, Earned Value Management, Verification And Validation, Project Management Life Cycle, Acceptance Testing, Software Development Methodologies, AI Workflows, Quality Assurance, Data-Driven Decision-Making, Performance Measurement, Corrective and Preventive Action (CAPA), Continuous Monitoring, Variance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • A

    AI Business School

    AI agents and creator tools for customer care professionals

    Skills you'll gain: Agentic Workflows, AI Workflows, Agentic systems, Generative AI Agents, Productivity, No-Code Development, AI Enablement, AI literacy, Customer Service, Digital Transformation, Automation, Feasibility Studies, Operational Efficiency, Responsible AI, Risking, Innovation

    Intermediate · Course · 1 - 4 Weeks

  • M

    Minnesota State University, Mankato

    Technical Communication in the AI Era

    Skills you'll gain: Technical Communication, Technical Writing, Technical Documentation, Writing and Editing, Software Documentation, Proofreading, Writing, Report Writing, Usability, Target Audience, Prompt Engineering, Style Guides, Artificial Intelligence, Research, Design, User Experience, Document Management, Quality Assurance, User Research, Research Methodologies

    ★ 3.8 (11) · Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI: Applying AI Principles with GC - 日本語版

    Skills you'll gain: Responsible AI, Data Ethics, AI literacy, Artificial Intelligence, Business Ethics, Google Cloud Platform, AI Product Strategy, Decision Intelligence, Ethical Standards And Conduct, Regulatory Compliance, Accountability Frameworks, Governance, Accountability

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Evaluating and Debugging Generative AI

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, LLM Application, Jupyter, AI Workflows, Model Training, Software Versioning

    ★ 4.7 (10) · Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Professional Cloud Architect Part 2: AI, Security, & Ops

    Skills you'll gain: Kubernetes, Infrastructure as Code (IaC), Application Performance Management, Terraform, Generative AI, Identity and Access Management, Generative AI Agents, Google Gemini, Google Cloud Platform, Metadata Management, Data Sharing, Data Pipelines, Cloud-Native Computing, Cloud Development, Generative Model Architectures, Serverless Computing, Cloud Security, Cloud Computing Architecture, Dashboard Creation, MLOps (Machine Learning Operations)

    ★ 4.6 (2.9K) · Advanced · Specialization · 3 - 6 Months

  • I

    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LangChain, LLM Application, OpenAI API, Hugging Face, Generative AI, OpenAI, Web Applications, Application Development, Flask (Web Framework), Python Programming, Natural Language Processing, Web Design and Development, Web Development, Front-End Web Development, Image Analysis

    ★ 4.6 (278) · Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Image Quality, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Generative AI Automation Tools and Applications

    Skills you'll gain: Generative AI Agents, AI Orchestration, AI Workflows, Business Process Automation, Make.com, Automation, Agentic systems, Generative AI, LangChain, Agentic Workflows, Marketing Automation, LLM Application, AI Integrations, AI Security, Cloud Solutions, Prompt Engineering, Slack (Software), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Google Sheets

    ★ 4.1 (12) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    AI for Teachers with ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Education Software and Technology, AI Personalization, Prompt Engineering Tools, Digital pedagogy, Collaborative Software, Generative AI, AI Integrations, AI Workflows

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Market Research Analyst: AI, Power BI, SurveyMonkey skilled

    Skills you'll gain: Persona Development, Market Intelligence, Dashboard Creation, Dashboard, Data Visualization, Qualitative Research, Competitive Intelligence, Competitive Analysis, Tidyverse (R Package), Data Storytelling, Data Presentation, Trend Analysis, Market Research, Data Ethics, Power BI, LinkedIn, Business Intelligence, Data Analysis, R Programming, Strategic Thinking

    Beginner · Professional Certificate · 3 - 6 Months

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In summary, here are 10 of our most popular ai ethics courses

  • Getting started with generative AI in Azure: Microsoft
  • AI Projects: Plan, Track, Deliver: Coursera
  • AI agents and creator tools for customer care professionals: AI Business School
  • Technical Communication in the AI Era: Minnesota State University, Mankato
  • Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
  • Evaluating and Debugging Generative AI: DeepLearning.AI
  • Professional Cloud Architect Part 2: AI, Security, & Ops: Google Cloud
  • Building Generative AI-Powered Applications with Python: IBM
  • Programming Generative AI: Unit 2: Pearson
  • Generative AI Automation Tools and Applications: Edureka

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