Azure OpenAI on your data allows developers to implement RAG with supported AI chat models to reference specific sources of data to ground the response.

In this course, you will learn how to create a Bot Framework solution from the ground up, including how to piece it together with other Azure components such as AI Services, Search Engines, and Database Backends and then push it to Production.

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.