• A course focuses on a specific skill or topic—for example, LangChain for LLM Application Development helps you build apps with LLMs.
• A Specialization is a series of courses for deeper expertise—such as Generative AI Engineering with LLMs Specialization by IBM.
• A Professional Certificate offers end-to-end, career-aligned training—like the AI Product Manager Certificate from Microsoft, which includes coverage of generative AI topics for business.‎

Click here to ask ChatGPT to find the right GenAI course on Coursera for your learning goals.‎

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.‎