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The way Microsoft certifies Azure skills has changed. In this recorded webinar, we’ll cover what these changes mean for your Azure Certification path. Watch it now!

AI‑200 validates the skills required to design, build, and operate cloud‑native AI solutions on Microsoft Azure.It focuses on integrating Azure AI services into scalable applications using containers, serverless compute, event‑driven architectures, and vector‑enabled...

This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production. You’ll learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark, while also building confi...

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

The course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. GK# 100251

Watch "Build your foundational knowledge of Data & AI with Azure." Azure provides easy-to-use services to help you build Data and AI solutions.

For this exam, you should have conceptual knowledge of AI solutions in Azure and the foundational technical skills to work with them. You also need knowledge of Python coding syntax and programming techniques, and you should be familiar with Azure resources.

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

This 1 day course focuses on building intelligent applications that can see, interpret, and reason over images and documents using different multimodal models and agent-based tools. Learners explore how visual and document inputs can be combined with language models...