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This course covers the process of designing and implementing core Azure networking infrastructure, Hybrid Networking connections, network security & monitoring.

This learning path prepares you for the task of migrating SQL Server workloads to Azure SQL Database. You'll learn how to assess SQL Server components and compatibility for migration using the Azure SQL Migration Extension and Database Migration Assistant. This train...

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

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...

Using Azure AI Search, you can extract key insights from information locked up in structured and unstructured data sources, and enable applications to search and analyze them.

It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance. Students will also learn about responsible AI practices fo...