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  • Transparency And Explainability In Ai

Results for "transparency and explainability in ai"


  • Status: New
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    Status: Free Trial
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    Coursera

    Data Privacy, Ethics, and Responsible AI

    Skills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), AI Security, Responsible AI, Personally Identifiable Information, Legal Technology, Data Security, Data Ethics, Large Language Modeling, Business Ethics, Data Governance, Prompt Engineering, Cyber Security Strategy, Legal Risk, Data Loss Prevention, Generative AI, Regulatory Compliance, Cybersecurity, Risk Analysis, Governance

    4.5
    Rating, 4.5 out of 5 stars
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    106 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Document and Evaluate AI Ethics

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Auditing, Ethical Standards And Conduct, Compliance Management, Auditing, Technical Documentation, Case Studies, Project Documentation, Model Deployment, Model Evaluation, Business Ethics, MLOps (Machine Learning Operations), Accountability, Mitigation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Saïd Business School, University of Oxford

    AI Governance

    Skills you'll gain: Responsible AI, AI Security, Data Ethics, Governance, Compliance Management, Enterprise Risk Management (ERM), Risk Management, Business Ethics, Artificial Intelligence, Ethical Standards And Conduct, Organizational Strategy, Law, Regulation, and Compliance, Technology Strategies, Artificial Intelligence and Machine Learning (AI/ML), Information Privacy, Generative AI, Information Management, Agentic systems, Generative AI Agents, Business Leadership

    4.9
    Rating, 4.9 out of 5 stars
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    75 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Responsible AI: Transparency & Ethics

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, OpenAI, Mitigation, Ethical Standards And Conduct, Model Evaluation, Auditing, Governance

    Intermediate · Course · 1 - 4 Weeks

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    AI CERTs

    Responsible AI Principles

    Skills you'll gain: Responsible AI, AI Security, Data Ethics, Governance, Data Governance, Law, Regulation, and Compliance, Ethical Standards And Conduct, Compliance Training, Artificial Intelligence, Business Ethics, Compliance Management, Accountability, Regulatory Requirements, Governance Risk Management and Compliance, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Stakeholder Engagement

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Building Trustworthy AI

    Skills you'll gain: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments

    Intermediate · Specialization · 3 - 6 Months

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    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Italiano

    Skills you'll gain: Data Ethics, Responsible AI, Applied Machine Learning, Model Evaluation, Model Deployment, Machine Learning, Artificial Intelligence, Technical Documentation, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    Amazon Web Services

    Responsible AI Practices

    Skills you'll gain: Responsible AI, AI Security, Human Centered Design, Data Ethics, Model Evaluation, Artificial Intelligence, AWS SageMaker

    3.9
    Rating, 3.9 out of 5 stars
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    41 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Risk Modeling, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Design & Present Responsible AI Solutions

    Skills you'll gain: Responsible AI, Data Ethics, Data Storytelling, Presentations, Technical Communication, Artificial Intelligence, Stakeholder Communications, Ethical Standards And Conduct, Case Studies, Accountability, Risk Mitigation, Governance, Design, Stakeholder Analysis, Risk Management, Project Documentation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 简体中文

    Skills you'll gain: Data Ethics, Responsible AI, Data Modeling, Model Evaluation, Artificial Intelligence, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular transparency and explainability in ai courses

  • Data Privacy, Ethics, and Responsible AI: Coursera
  • Document and Evaluate AI Ethics: Coursera
  • AI Governance: Saïd Business School, University of Oxford
  • Explainable Machine Learning (XAI): Duke University
  • Responsible AI: Transparency & Ethics: Coursera
  • Responsible AI Principles: AI CERTs
  • Building Trustworthy AI: Coursera
  • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
  • Responsible AI Practices: Amazon Web Services
  • Engineer AI Models: Explain, Tune & Experiment: Coursera

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