Hive

Azure

This course teaches you the basic skills for integrating Power BI content into supported environments, such as websites, SharePoint Online, Microsoft Teams, and for creating Power BI template apps.

Learn How To Deploy Machine Learning models on Flask, Heroku, AWS, Google Cloud, Microsoft Azure, Streamlit. Beginner To Advanced

Learn to build machine learning models with Python.

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

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.

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.

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