Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

The course will help you understand machine learning fundamentals by diving into theoretical concepts and algorithms of machine learning.

Machine learning is one of the hottest fields in the world today. This course will teach you how to get started solving business problems with AWS machine learning technologies.

A beginner-friendly introduction to machine learning concepts using Python, covering fundamental algorithms, techniques, and practical applications.

Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.

Create a custom question answering knowledge base with Azure AI Language and create a bot with Azure AI Bot Service that answers user questions.

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

This course covers RAG basics, architecture, and applications and teaches you to build RAG pipelines using LangChain and Streamlit.

Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Explore game-playing AI development using Swift for TensorFlow (S4TF). Learn to build intelligent agents capable of playing and improving performance in games using machine learning techniques.

Discover the capabilities and applications of the Gemini API for integrating AI into your applications.