Curious about generative AI and the building blocks behind it? This course introduces you to the core concepts and models that power generative AI, teaching you how AI generates text, images, and code. Whether you're an enthusiast or practitioner, you'll build a strong foundation in this rapidly developing field.

You will explore the technology behind generative AI, including deep learning, large language models (LLMs), and foundation models. Discover how different models work, from GANs and VAEs to transformers and diffusion models. You will also learn how pre-trained models can be adapted and used to power AI applications. Whether you’re exploring AI for the first time or looking to expand your knowledge, you will gain a deeper understanding of how AI can be used to build practical applications. Put your knowledge into practice through hands-on labs using the IBM Generative AI Classroom and IBM watsonx. You will experiment with models such as IBM Granite, OpenAI GPT, Google FLAN, and Meta Llama to explore real-world use cases. Moreover, hear from industry experts who share insights into generative AI is being used today and what it can do. By the end of this course, you'll be able to: - Explain the fundamentals of generative AI and describe the core models that power it. - Describe foundation models and understand their role in generative AI. - Explore pre-trained models and how they can be used to develop AI-powered applications. - Navigate tools and platforms such as IBM watsonx and Hugging Face. Join over 55,000 learners who have enrolled in this course! Earn a shareable certificate to showcase your new generative AI knowledge on LinkedIn, your resume, or your CV.