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  • Implement Responsible Machine Learning

Results for "implement+responsible+machine+learning"


  • Status: New
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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

  • 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, Data Governance, Model Evaluation, Model Deployment, Data Visualization Software, Ethical Standards And Conduct, Encryption, Human Centered Design

    4.6
    Rating, 4.6 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning

    Advanced · Course · 1 - 3 Months

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    The University of Edinburgh

    An Introduction to Responsible AI for SMEs

    Skills you'll gain: Responsible AI, Data Ethics, AI Product Strategy, AI Enablement, Business Risk Management, Business Ethics, Artificial Intelligence, Risk Analysis, Regulation and Legal Compliance, Compliance Management, Governance, Stakeholder Engagement, Open Source Technology

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    AI Agents and MLOps for Production-Ready AI

    Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    38K reviews

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
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    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

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    Microsoft

    MLOps and responsible AI practices

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Operations, Human Resources, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
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    330 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, AI Enablement, Prompt Engineering, Cloud Deployment, AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

1234…9

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

  • Strategic AI Governance: Coursera
  • Responsible AI for Developers: Google Cloud
  • Applied Machine Learning and Model Optimization: Packt
  • An Introduction to Responsible AI for SMEs: The University of Edinburgh
  • AI Agents and MLOps for Production-Ready AI: Packt
  • Machine Learning: DeepLearning.AI
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • MLOps and responsible AI practices: Microsoft
  • Responsible Generative AI: University of Michigan
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera

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