Generative AI is reshaping industries by enabling machines to create text, images, and solutions that mimic human creativity. It powers tools like ChatGPT, DALL-E, and other intelligent systems used in content creation and automation.
Whether you’re an aspiring AI professional or a tech enthusiast, learning generative AI helps you understand model behavior, prompt design, and real-world applications of large language models and deep learning.
This list includes top online generative AI courses from reputable global platforms. These programs offer foundational knowledge as well as advanced skills to work with generative models and AI tools.
Top Online Generative AI Courses in 2026
1. Generative AI Courses Free – Great Learning
Delivery: Online self-paced (Free)
Duration: ~4 hours
This Great Learning course introduces generative AI fundamentals, including model types, training concepts, content generation basics, and practical AI use cases for beginners.
Key Highlights:
- Free generative AI fundamentals course
- Understand model types and training concepts
- Learn content generation and automation
- Certificate available
2. Generative AI with Deep Learning – Coursera
Delivery: Online certificate programme
Duration: ~6 weeks
This Coursera course covers generative models like GANs and VAEs, teaching learners how to build, train, and evaluate deep learning-based generative systems.
Key Highlights:
- Learn GANs and VAEs concepts
- Build generative model projects
- Deep learning fundamentals
- Certificate awarded
3. Natural Language Processing with Transformers – edX
Delivery: Online self-paced
Duration: ~8 weeks
This edX programme focuses on transformer architectures that power modern generative AI systems, including how to apply them to language tasks and generation models.
Key Highlights:
- Understand transformer models
- Apply NLP to text generation
- Real assignments and exercises
- Certificate available
4. AI For Everyone – Coursera
Delivery: Online self-paced
Duration: ~10 hours
This beginner-friendly course explains core AI technologies, ethical implications, and broad applications, giving context for generative AI systems and their societal impact.
Key Highlights:
- Core AI and generative overview
- Ethics and societal considerations
- Flexible self-paced format
- Certificate available
5. Building AI Applications with GenAI – LinkedIn Learning
Delivery: Online self-paced
Duration: ~8–12 hours
This course teaches how to integrate generative AI into applications, use APIs, and apply prompt engineering skills to solve practical business problems.
Key Highlights:
- Learn AI application integration
- Prompt engineering basics
- Use generative AI APIs
- Certificate from LinkedIn Learning
6. Prompt Engineering and Deployment with Python – FutureLearn
Delivery: Online self-paced
Duration: ~4 weeks
This FutureLearn course covers prompt design, optimization strategies, and deploying generative AI models in real applications using Python tools and frameworks.
Key Highlights:
- Prompt optimization techniques
- Python deployment examples
- Practical hands-on exercises
- Certificate available
7. Deep Learning Specialization – Coursera
Delivery: Online certificate programme
Duration: ~3 months
This comprehensive specialization helps learners grasp deep learning foundations, including neural networks and generative modeling techniques necessary for advanced AI work.
Key Highlights:
- Deep learning and neural networks
- Generative model techniques
- Real-world AI projects
- Professional certificate
8. Machine Learning with TensorFlow – Udacity
Delivery: Online self-paced
Duration: ~4 months
This nanodegree teaches machine learning foundations with TensorFlow, preparing learners to work with models and frameworks that support generative AI systems.
Key Highlights:
- TensorFlow and model building
- Practical machine learning workflows
- Hands-on projects
- Nanodegree certificate
9. Computer Vision and Generative Models – Udemy
Delivery: Online self-paced
Duration: ~10+ hours
This Udemy course teaches generative vision models like GANs for image generation, covering practical examples and dataset training workflows.
Key Highlights:
- Image generation with GANs
- Hands-on coding projects
- Data preprocessing and models
- Certificate of completion
Delivery: Online self-paced
Duration: ~3–5 hours
Skillshare’s course explores applied generative AI techniques, including creative content generation and practical workflows using popular AI libraries.
Key Highlights:
- Creative content generation lessons
- Applied generative workflows
- Short practical lessons
- Certificate of completion
Conclusion
Generative AI skills are in high demand as organizations adopt intelligent systems for automation, content creation, and innovation. These courses provide structured paths from fundamentals to advanced techniques that help you build practical AI expertise.
Great Learning offers free online courses, enabling learners to begin their AI training without cost before progressing to deeper, paid training programmes.
