Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Explore techniques for implementing a huge integer class in programming, focusing on advanced data structures and algorithms for handling large numbers.

Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way.

Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?

In this course, you learn about APIs and how integrate the IBM RPA with web APIs by developing scripts with HTTP requests.

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPT's full potential.

Learn the basics of responsible AI use and how to navigate some of the most common AI risks and drawbacks.

Learn about what transformers are (the T of GPT) and how to work with them using Hugging Face libraries

Learn deep learning concepts and techniques using the PyTorch framework for building neural networks.

Build basic deep learning models in TensorFlow.

Dive into the many forms of generative AI and learn how we can best use these new technologies!

Learn how to use GitHub Copilot to streamline your workflow and development. This course provides an in-depth understanding of the AI-driven coding assistant.