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  • Generative Ai

Generative AI Courses

Generative AI courses can help you learn how models create text, images, and other outputs using patterns learned from data. You can build skills in prompt design, model evaluation, and understanding how generative systems behave across tasks. Many courses introduce tools such as Python libraries, APIs, or model interfaces that support experimenting with generation and applying core concepts.


Popular Generative AI Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Machine Learning Methods, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    344 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Adobe

    Social Media Content and Strategy

    Skills you'll gain: Adobe Express, Social Media Content, Social Media, Content Creation, Social Media Strategy, Social Media Marketing, Content Performance Analysis, Social Media Management, Social Media Campaigns, Adobe Firefly, Intellectual Property, Target Audience, Web Content, Marketing Materials, Instagram, Drive Engagement, Target Market, Customer Engagement, Content Strategy, Branding

    4.8
    Rating, 4.8 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    CertNexus Certified Artificial Intelligence Practitioner

    Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    305 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Computational Thinking, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
    ·
    639 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    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
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    IBM Systems and Solutions Architect

    Skills you'll gain: Process Mapping, Business Process Modeling, Business Analysis, Cloud-Native Computing, Identity and Access Management, Data Migration, Software Architecture, Stakeholder Analysis, Systems Design, Extract, Transform, Load, Systems Architecture, Stakeholder Management, Data Integration, Cybersecurity, Stakeholder Engagement, Release Management, Enterprise Architecture, Project Management, Software Testing, Information Technology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    250 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Build Intelligent Agents Using DeepSeek & N8N

    Skills you'll gain: Email Automation, Workflow Management, AI Workflows, No-Code Development, Deepseek, Large Language Modeling, Generative AI, Automation, Model Deployment, Data Analysis, Google Sheets, Data Processing, Gmail

    4.1
    Rating, 4.1 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    719 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Back-End Developer

    Skills you'll gain: CI/CD, C# (Programming Language), Azure DevOps, Load Balancing, Continuous Integration, Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Debugging, SQL, Microsoft Copilot, .NET Framework, Relational Databases, Database Management, Graph Theory, Back-End Web Development, Program Development, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    249 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    818 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Advancing Women in Tech

    The Art & Science of Product Management

    Skills you'll gain: Cross-Functional Team Leadership, Technical Product Management, Engineering Management, Product Management, Team Leadership, Artificial Intelligence and Machine Learning (AI/ML), User Experience Design, Design, Software Design, Artificial Intelligence, Interviewing Skills, Machine Learning, Deep Learning, Technical Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    156 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • MathWorks Computer Vision Engineer: MathWorks
  • Social Media Content and Strategy: Adobe
  • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Explainable Machine Learning (XAI): Duke University
  • IBM Systems and Solutions Architect: IBM
  • Build Intelligent Agents Using DeepSeek & N8N : Board Infinity
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Microsoft Back-End Developer: Microsoft
  • Foundations of Neural Networks: Johns Hopkins University

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