Understand unsupervised learning techniques for discovering patterns and insights from unlabeled data.

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Learn how to use Automated Machine Learning to train a labeled dataset and develop a production object detection model.

Learn what data you can analyze by choosing prebuilt Forms Analyzer models and how to deploy these models in a Document intelligence solution.

Discover how to use generative AI to create summaries of technical documents and how to use those key points to create executive presentations to have better conversations with leaders and executives.

The days of scouring Stack Overflow for troubleshooting help may be at an end. This course will teach you how to solve Linux operating system problems by using generative AI solutions like ChatGPT and GitHub Copilot.

The days of scouring Stack Overflow for troubleshooting help may be at an end. This course will teach you how to solve Windows operating system problems by using generative AI solutions like ChatGPT.

Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data.

Learn to use the OpenAI API for natural language processing in JavaScript, focusing on practical applications and integration techniques.

This course covers various endpoints of the Open AI API with GPT and how it can accomplish NLP tasks such as text completion, summarization, and classification.

Excel in OpenAI APIs using Python. Discover API key authentication, access to completions APIs via endpoints, model configurations, and control of creativity and response length.