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AI Governance Courses

Artificial Intelligence (AI) courses can help you learn machine learning algorithms, neural networks, natural language processing, and computer vision. You can build skills in data preprocessing, model evaluation, and deploying AI solutions in various applications. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI models and analyzing data effectively. By engaging with these topics and tools, you can gain practical experience that prepares you for roles in AI development and data science.

Popular AI Governance Courses and Certifications


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    IBM

    Forecasting & Scenario Development with AI

    Skills you'll gain: Financial Forecasting, Forecasting, Demand Planning, Revenue Forecasting, Financial Data, Trend Analysis, Financial Modeling, Time Series Analysis and Forecasting, Contingency Planning, Responsible AI, Budgeting, Data-Driven Decision-Making, Advanced Analytics, Predictive Analytics, Decision Intelligence, Financial Analysis, Prompt Engineering, Financial Planning, Decision Support Systems, Performance Stress Testing

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Gen AI: Beyond the Chatbot

    Skills you'll gain: Prompt Engineering, Responsible AI, AI Product Strategy, Google Gemini, Generative AI, AI Enablement, AI Workflows, Google Cloud Platform, Google Workspace, AI Integrations

    4.6
    Rating, 4.6 out of 5 stars
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    629 reviews

    Beginner · Course · 1 - 3 Months

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    University of Michigan

    Practical AI for Social Impact

    Skills you'll gain: Social Impact, Responsible AI, Machine Learning Algorithms, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Artificial Intelligence, Reinforcement Learning, Decision Intelligence, Data Ethics, AI literacy, Applied Machine Learning, Machine Learning, Model Deployment

    Beginner · Course · 1 - 4 Weeks

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    University of Michigan

    Realizing AI for Social Impact

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Reinforcement Learning, Research Reports, Machine Learning, Scenario Testing, Environmental Monitoring

    Beginner · Specialization · 1 - 3 Months

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    Red Hat

    Red Hat AI Technical Overview

    Skills you'll gain: OpenShift, Retrieval-Augmented Generation, Agentic systems, Red Hat Enterprise Linux, Agentic Workflows, AI Enablement, Model Context Protocol, AI Integrations, AI Orchestration, Tool Calling, Model Deployment, LLM Application, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Hybrid Cloud Computing, Artificial Intelligence, Model Optimization, Fine-tuning, Jupyter, Data Science

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Machine Learning, Machine Learning Methods, Model Evaluation, Artificial Neural Networks, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
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    65 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Leading Cross-Functional AI Delivery

    Skills you'll gain: Azure DevOps, Solution Delivery, Project Management, Cross-Functional Team Leadership, Project Management Life Cycle, Agile Project Management, AI Workflows, Responsible AI, Project Risk Management, Project Controls, AI literacy, Agile Methodology, Coordinating, Project Estimation, Sprint Planning, Issue Tracking, Cost Estimation, Risk Management, Backlogs, Risk Mitigation

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    AI and Climate Change

    Skills you'll gain: Fine-tuning, Model Training, Model Evaluation, Climate Change Adaptation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Environmental Issue, Machine Learning Methods, Data Processing, Forecasting, Computer Vision, Predictive Modeling, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    143 reviews

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Securing Generative AI

    Skills you'll gain: AI Security, Retrieval-Augmented Generation, AI Orchestration, Responsible AI, LangChain, Threat Modeling, LLM Application, Generative AI, Vector Databases, Embeddings, Application Security, Large Language Modeling, Open Web Application Security Project (OWASP), Security Testing, Security Controls, Prompt Engineering, MITRE ATT&CK Framework

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Generative AI and Copilot Foundations

    Skills you'll gain: Generative AI, Microsoft Copilot, Responsible AI, AI Workflows, AI literacy, Workflow Management, Microsoft 365, Business Workflow Analysis, Decision Intelligence, Data Loss Prevention, Microsoft Teams, Data Ethics, Productivity Software, Data Validation, Legal Risk, Verification And Validation, Accountability, Auditing

    Beginner · Course · 1 - 3 Months

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    SkillsBooster Academy

    AI Agents for Business Automation

    Skills you'll gain: Email Automation, Business Process Automation, Generative AI Agents, Business Workflow Analysis, Automation, Workflow Management, Agentic systems, Expense Reports, ChatGPT, Client Support, LLM Application, Project Coordination, Coordinating, Artificial Intelligence, Enterprise Architecture, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Expense Management, Prompt Engineering, Business

    Beginner · Course · 1 - 3 Months

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    Microsoft

    Practical AI Use in Leadership

    Skills you'll gain: Responsible AI, Risking, Microsoft Copilot, Decision Intelligence, Decision Making, AI Enablement, Business Leadership, Business Ethics, Strategic Decision-Making, Accountability, Data Storytelling, Leadership, Strategic Thinking, Data-Driven Decision-Making, Performance Measurement, Analysis, Business Management, Generative AI

    Intermediate · Course · 1 - 4 Weeks

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

  • Forecasting & Scenario Development with AI: IBM
  • Gen AI: Beyond the Chatbot: Google Cloud
  • Practical AI for Social Impact: University of Michigan
  • Realizing AI for Social Impact: University of Michigan
  • Red Hat AI Technical Overview: Red Hat
  • Developing Explainable AI (XAI): Duke University
  • Leading Cross-Functional AI Delivery: Microsoft
  • AI and Climate Change: DeepLearning.AI
  • Securing Generative AI: Pearson
  • Generative AI and Copilot Foundations: Microsoft

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