When working with Large Language Models (LLMs) in Azure Databricks, it's important to understand the responsible AI principles for implementation, ethical considerations, and how to mitigate risks. Based on identified risks, learn how to implement key security tooling for language models.

Revit is one of the most widely-used Building Information Modeling platforms. The tools and topics covered here will show new users how to set up a Revit project and begin modeling using the conceptual massing tools. Software required: Revit 2017.

This course is intended for the Architects, BIM Managers, CAD Operators and Architectural Design Technicians who are ready to start using Revit as a Building Information Modeling platform. Software required: Revit 2017.

This course covers tools and topics that are tailored to fit the documentation and presentation phase of the architectural design process in Revit. Software required: Revit 2017.

In this course, you'll discover how you can use Revit Architecture to develop interior designs by taking a generic model with a low level of detail and transforming it to meet design intent. Software required: Revit Architecture 2016.

Understanding Interference Detection within Revit will give you the power to save money, time, and reduce risk in your project. This course will teach you the concepts you need in order to run an interference check on your project and mitigate risk at the same time. Software required: Revit.

Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.

Learn how HBase provides random access and strong consistency for large amounts of unstructured and semi structured data in a schema less database organized by column families.

Get an introduction to Scala, a modern programming language. Learn its syntax, functional programming features, and compatibility with Java and big data frameworks like Spark.

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Learn how to approach and implement security to protect your data with Azure Synapse Analytics.

Azure Database for PostgreSQL includes comprehensive security features including encryption, authentication, and granting permissions to database users. In this module, you learn about the security features of Azure Database for PostgreSQL.