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Explainable AI Courses

Artificial Intelligence (AI) courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, model evaluation, and ethical considerations in AI applications. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing projects that harness the power of data-driven insights.

Popular Explainable AI Courses and Certifications


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    IBM

    AI for FP&A Automation & Modeling

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Anomaly Detection, Risking, Reconciliation, Financial Data, General Ledger, Financial Modeling, Financial Auditing, Auditing, Financial Controls, Financial Forecasting, Generative AI, Finance, Financial Analysis, Audit Planning, Financial Planning, Data Mapping, Cyber Governance

    Beginner · Course · 1 - 4 Weeks

  • C

    Clemson University

    AI Receptive Software Development

    Skills you'll gain: Software Development Methodologies, Systems Development Life Cycle, Program Development, Software Engineering, Software Development, Requirements Analysis, Usability, Human Centered Design, User Research, Systems Development, User Experience Design, AI literacy, Software Development Tools, User Centered Design, AI Enablement, Artificial Intelligence, AI Integrations

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Colorado System

    AI Integration in Healthcare

    Skills you'll gain: Machine Learning Algorithms, Model Training, Human Factors (Security), Machine Learning, Model Evaluation, Responsible AI, Supervised Learning, Predictive Modeling, AI Integrations, Diagnostic Tests, Reinforcement Learning, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    AI Infrastructure: Cloud TPUs

    Skills you'll gain: Google Cloud Platform, AI Integrations, Cloud Infrastructure, Model Optimization, AI Workflows, Performance Tuning, Interoperability, Product Demonstration, Benchmarking, Hardware Architecture, Product Knowledge

    4.5
    Rating, 4.5 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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    LearnQuest

    Foundations of AI-Assisted Web Development

    Skills you'll gain: Prompt Engineering, GitHub, Version Control, Vibe coding, Git (Version Control System), Claude Code, Prompt Engineering Tools, Development Environment, Web Applications, Application Deployment, GitHub Copilot, Software Development Tools, Computer Programming Tools, AI Enablement, HTML and CSS, Web Development Tools, Application Programming Interface (API), Software Development, Node.JS, Javascript

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    Responsible AI: Applying AI Principles with GC - 한국어

    Skills you'll gain: Responsible AI, Data Ethics, Business Ethics, Governance, Artificial Intelligence, Data Governance, Ethical Standards And Conduct, Accountability, Decision Making

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    DevOps and AI on AWS

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Infrastructure as Code (IaC), Amazon CloudWatch, Application Deployment, Amazon Elastic Compute Cloud, CI/CD, AWS CloudFormation, Unit Testing, Continuous Deployment, Cloud Deployment, Amazon Web Services, DevOps, Devops Tools, DevSecOps, Code Review, Serverless Computing, Containerization, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    55 reviews

    Beginner · Specialization · 1 - 3 Months

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    Red Hat

    Red Hat AI Inference Technical Overview

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Model Deployment, Token Optimization, AI Workflows, OpenShift, AI Enablement, Model Training, Model Optimization, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Cloud Deployment, Enterprise Architecture, Devops Tools, Model Evaluation, Performance Tuning, Virtualization, Data Science

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Transfer Learning Foundations for AI Models

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Large Language Modeling, Machine Learning Methods, Computer Vision, Data Science, Artificial Intelligence, Applied Machine Learning, NumPy, Pandas (Python Package), Python Programming, Natural Language Processing, Supervised Learning, Feature Engineering, Machine Learning, Predictive Modeling, Data Analysis, Data Visualization

    Beginner · Course · 1 - 4 Weeks

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    SkillsBooster Academy

    AI-Powered Design & Creative Tools

    Skills you'll gain: Adobe Firefly, Prompt Engineering, Prompt Patterns, Anthropic Claude, Figma (Design Software), UI/UX Strategy, User Interface and User Experience (UI/UX) Design, AI Product Strategy, Generative AI, Design, AI Workflows, Canva (Software), Visual Design, Web Design, Artificial Intelligence, Design Thinking, Adobe Photoshop, Interaction Design, Project Design, Content Creation

    4.5
    Rating, 4.5 out of 5 stars
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    30 reviews

    Beginner · Specialization · 3 - 6 Months

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    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), NumPy, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Data Visualization, Statistical Visualization, Debugging, Data Presentation, Data Manipulation, Code Reusability, Object Oriented Programming (OOP), Python Programming, Simulations, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of Maryland, College Park

    Artificial Intelligence In Government Procurement

    Skills you'll gain: Innovation, AI Enablement, Scalability, Procurement, Artificial Intelligence, Automation, Initiative and Leadership, AI literacy, AI Integrations, Natural Language Processing, Business Transformation, Organizational Change, Digital Transformation, Organizational Effectiveness, Performance Improvement, Emerging Technologies, Product Improvement, Operational Efficiency, Goal Setting, Product Requirements

    4.3
    Rating, 4.3 out of 5 stars
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    18 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • AI for FP&A Automation & Modeling: IBM
  • AI Receptive Software Development: Clemson University
  • AI Integration in Healthcare: University of Colorado System
  • AI Infrastructure: Cloud TPUs: Google Cloud
  • Foundations of AI-Assisted Web Development: LearnQuest
  • Responsible AI: Applying AI Principles with GC - 한국어: Google Cloud
  • DevOps and AI on AWS: Amazon Web Services
  • Red Hat AI Inference Technical Overview: Red Hat
  • Transfer Learning Foundations for AI Models: Edureka
  • AI-Powered Design & Creative Tools: SkillsBooster Academy

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