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  • Implement Responsible Machine Learning

Results for "implement responsible machine learning"


  • Status: New
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    Coursera

    Ensure Ethical AI & Debiasing

    Skills you'll gain: Data Ethics, Responsible AI, Technical Communication, Stakeholder Communications, Model Evaluation, Data Preprocessing, Diversity Awareness, Analytical Skills, Data-Driven Decision-Making, Sampling (Statistics), Statistical Analysis, Decision Support Systems

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Ethics, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, AI Product Strategy, Risk Analysis, Automation, Stakeholder Management, Operations, Artificial Intelligence, Human Resources, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
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    343 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Strategic AI Governance

    Skills you'll gain: Responsible AI, Threat Modeling, MLOps (Machine Learning Operations), Security Testing, Secure Coding, Cost Management, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

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    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Git (Version Control System), Automation, System Monitoring, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Responsible AI for Developers

    Skills you'll gain: Responsible AI, AI Security, Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Data Loss Prevention, Data Security, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Artificial Intelligence, Interoperability, Data Governance, Model Evaluation, Model Deployment, Ethical Standards And Conduct, Encryption, Human Centered Design

    4.4
    Rating, 4.4 out of 5 stars
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    32 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: 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

    4.1
    Rating, 4.1 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Law, Regulation, and Compliance, Risk Mitigation, Decision Making, Workforce Management, Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Northeastern University

    Responsible and Ethical AI

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Data Governance, Law, Regulation, and Compliance, Machine Learning, Ethical Standards And Conduct, Data-Driven Decision-Making, Data Integrity, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Risk Management Framework

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    613 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    SAS

    AI Literacy: Responsible, Trustworthy, Effective

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Agentic systems, AI Security, Discussion Facilitation, Business Ethics, Embeddings, Regulatory Compliance, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), AI Workflows, Analytics, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

1234…799

In summary, here are 10 of our most popular implement responsible machine learning courses

  • Ensure Ethical AI & Debiasing: Coursera
  • Responsible Generative AI: University of Michigan
  • Strategic AI Governance: Coursera
  • Machine Learning Made Easy for Software Engineers: Coursera
  • MLOps and responsible AI practices: Microsoft
  • Responsible AI for Developers: Google Cloud
  • Responsible AI Practices: Amazon Web Services
  • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
  • Responsible and Ethical AI: Northeastern University
  • The Nuts and Bolts of Machine Learning: Google

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