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    • Generative Ai

    Generative AI Courses Online

    Explore generative AI for creating new content. Learn about GANs, creative applications, and AI-generated media.

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    Explore the GenAI Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Generative AI for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Automation, Ethical Standards And Conduct, Cloud Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Application Development, Artificial Intelligence, Google Cloud Platform, Machine Learning Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Keras (Neural Network Library), Supervised Learning, Flask (Web Framework), Exploratory Data Analysis, Feature Engineering, Generative AI, Data Wrangling, Unit Testing, ChatGPT, Data Analysis, Jupyter, Artificial Intelligence, Deep Learning, OpenAI, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google Cloud

      Generative AI Leader

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Google Cloud Platform, Google Workspace, Data Management, Productivity Software, Cloud Solutions, Unstructured Data, Large Language Modeling, Workflow Management, Data Governance, Strategic Thinking, Cloud Infrastructure, Information Privacy, Innovation, Artificial Intelligence, Organizational Strategy, Data Ethics, Technology Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      40 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Applied Machine Learning, Scalability, Natural Language Processing, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Agentic systems, Large Language Modeling, OpenAI, Real Time Data, Artificial Intelligence, Software Design, Image Analysis, Application Development, Semantic Web, Database Systems, Data Storage Technologies, Databases, NoSQL, Full-Stack Web Development, Natural Language Processing, Applied Machine Learning, Flask (Web Framework)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Application Development, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Data Ethics, Large Language Modeling, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, Legal Risk, IBM Cloud, Tensorflow, Artificial Intelligence, Program Development, Artificial Neural Networks, Business Development, Deep Learning, Content Creation, Business Transformation

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Generative AI, Natural Language Processing, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Artificial Intelligence, Text Mining, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Data Processing, Performance Tuning, Machine Learning Methods, Reinforcement Learning, Feature Engineering, User Feedback

      4.5
      Rating, 4.5 out of 5 stars
      ·
      461 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Executives and Business Leaders

      Skills you'll gain: Prompt Engineering, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Ideation, Business Strategy, Scalability, Business Transformation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      471 reviews

      Intermediate · Specialization · 1 - 4 Weeks

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

    • Generative AI: Introduction and Applications: IBM
    • Generative AI: Prompt Engineering Basics: IBM
    • Generative AI for Everyone: DeepLearning.AI
    • Introduction to Generative AI : Google Cloud
    • IBM Generative AI Engineering: IBM
    • Generative AI Leader: Google Cloud
    • Generative AI with Large Language Models: DeepLearning.AI
    • IBM RAG and Agentic AI: IBM
    • Prompt Engineering for ChatGPT: Vanderbilt University
    • Generative AI Fundamentals: IBM

    Frequently Asked Questions about Generative Ai

    Understanding why you want to learn generative AI, whether for research, creative projects, or enhancing AI skills, will guide your efforts. Regular practice with AI models and relevant data is essential. Join AI communities like GitHub or Reddit’s r/MachineLearning for resources and support. Work on real projects like building generative models or experimenting with neural networks. Coursera’s Generative AI Fundamentals Specialization by IBM is an excellent series of courses to start with.‎

    Yes. You can start learning generative AI on Coursera for free in two ways:

    • Preview the first module of many GenAI courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in generative AI, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    Generative AI courses on Coursera provide learners with the skills to engage with one of the most innovative areas of artificial intelligence:

    • Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
    • Techniques for creating synthetic data, artworks, and realistic simulations.
    • Application of generative AI in various domains such as music, video, and text.
    • Programming skills to develop generative models using TensorFlow and PyTorch.
    • Ethical considerations in deploying generative AI technologies.
    • Best practices for training and optimizing generative models to ensure quality and efficiency.‎

    Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise:

    • Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge.
    • Intermediate learners can improve their understanding of deep learning and start working with generative models.
    • Advanced participants can explore cutting-edge applications and techniques in generative AI.‎

    Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits:

    • Professional certificates that signify a foundational understanding and practical skills in generative AI.
    • Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications.
    • Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.‎

    Skills in Generative AI open the door to a range of cutting-edge career opportunities:

    • AI Research Scientist, developing new methods and technologies in generative AI.
    • Creative Technologist, integrating AI into digital art, marketing, and entertainment.
    • Machine Learning Engineer, specializing in building and training generative models.
    • Product Developer, using generative AI to innovate product designs and features.
    • Data Scientist, employing generative models for data augmentation and complex analyses.‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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