Learn to build machine learning models with Python.

Learn how to build machine pipelines that automate your workflow and keep everything consistent.

This course will teach you techniques to build a model for anomaly detection on your own time series dataset.

Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio.

Learn to build an image retrieval system using Non-negative Matrix Factorization (NMF) and other advanced techniques. Apply these methods to enhance search engines, content recommendation systems, and computer vision applications.

Build rules-based and generative AI chatbots with Python

If you have large volumes of data stored as files in a data lake, you'll need a convenient way to explore and analyze the data they contain. Azure Synapse Analytics enables you to apply the SQL skills you use in a relational database to files in a data lake.

Building data pipelines with Delta Live Tables enables real-time, scalable, and reliable data processing using Delta Lake's advanced features in Azure Databricks

Use TensorFlow to build and tune deep learning models.

Learn how to build recommendation systems similar to Netflix’s using Scikit-learn. Understand collaborative filtering, content-based recommendations, and hybrid models to create personalized suggestions for users.

Turn data into interactive, actionable insights with Power BI Desktop visuals and reports.

In this module, you will learn how you can build Power BI reports from within Azure Synapse Analytics.