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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.


More to explore:

Popular Generative AI Courses and Certifications


  • Status: Preview
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    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

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    Status: Free Trial
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    E

    EDUCBA

    AI Foundations with Python: Build & Visualize

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Mixed · Course · 1 - 4 Weeks

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    G

    Google Cloud

    Introduction to Vertex AI Studio - 한국어

    Skills you'll gain: Prompt Engineering, Google Gemini, Generative AI, Multimodal Prompts, Product Lifecycle Management, LLM Application, Google Cloud Platform, Prototyping, Model Deployment, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Leveraging Llama2 for Advanced AI Solutions

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, LangChain, Hugging Face, Technical Management, Prompt Engineering, AI Enablement, Embeddings, Solution Architecture, Analysis, Model Deployment, Performance Testing, Design

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Illinois Urbana-Champaign

    Safety & Community Implications of AI in Agriculture

    Skills you'll gain: Data Ethics, Automation, Occupational Safety and Health Administration (OSHA), Risk Management Framework, Emerging Technologies, Sustainability Standards, Robotics, Artificial Intelligence, Social Impact, Economics, Policy, and Social Studies, Law, Regulation, and Compliance

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

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

    4.4
    Rating, 4.4 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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    A

    Amazon Web Services

    Game based learning - Getting Started with Gen AI

    Skills you'll gain: Education Software and Technology, Generative AI, Game Design, Digital pedagogy

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Advanced · Course · 1 - 4 Weeks

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    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
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    135 reviews

    Beginner · Specialization · 1 - 3 Months

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    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.7
    Rating, 4.7 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • AI Foundations with Python: Build & Visualize: EDUCBA
  • Introduction to Vertex AI Studio - 한국어: Google Cloud
  • Leveraging Llama2 for Advanced AI Solutions: Coursera
  • Safety & Community Implications of AI in Agriculture: University of Illinois Urbana-Champaign
  • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
  • Game based learning - Getting Started with Gen AI: Amazon Web Services
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • AI Workflow: Business Priorities and Data Ingestion: IBM

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