Grow your AI career with foundational specializations and skill-specific short courses taught by leaders in the field.
Go beyond just using LLMs to actually understanding them. In this course taught by Sharon Zhou, you'll build the intuition to reason about model behavior, debug real problems, and make smarter decisions about deploying transformer-based models.
Become an AI power user in this new course taught by Andrew Ng. From finding information to building apps, you'll develop the prompting skills that get real, useful results from today's most powerful AI models.
If you've never written code before, this course is for you. In less than 30 minutes, you'll learn to describe an idea in words and let AI transform it into an app for you.
Build practical multi-agent systems that collaborate, use tools and memory, and scale reliably to production
Design an ML production system: scoping, data, modeling, deployment. Prototype development, deployment & continuous improvement.
Learn how to apply fine-tuning and reinforcement learning techniques to shape model behavior, improve reasoning, and make LLMs safer and more reliable.
Understand the generative AI lifecycle. Describe transformer architecture powering LLMs. Apply training/tuning/inference methods. Hear from researchers on generative AI challenges/opportunities.
Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment and evaluation.
In this course taught by Andrew Ng, you'll build agentic AI systems that take action through iterative, multi-step workflows.
Learn about AI technologies and how to use them. Examine AI's societal impact, and learn to navigate this technological shift.
Learn how to use generative AI's capabilities & limitations. Get an overview of real-world examples, and impact on business & society for effective strategies.
Learn Python programming with AI assistance. Gain skills writing, testing, and debugging code efficiently, and create real-world AI applications.
Prototype and deploy GenAI apps using an MVP workflow, prompt engineering, and RAG.
