Learning Paths

Use these learning paths to guide yourself through the documentation for our services so you can start to build effective cloud applications on Azure.

API Management

API Management provides the core competencies to ensure a successful API program through developer engagement, business insights, analytics, security and protection. This learning path will help you start using API Management to publish APIs to external, partner and internal developers to unlock the potential of their data and services.

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App Service Mobile Apps documentation

Mobile Apps leverages the functionality of Azure App Service to add sign-in, push notifications, and data sync to your mobile app. Connect your app to enterprise systems and on-premises resources. Scale your app to millions of customers across multiple geographies. Click on a topic in the diagram below to learn more about Mobile Apps, discover advanced scenarios, or just jump right in.

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App Service Web Apps

App Service Web Apps is a fully managed platform that lets you build, deploy and scale enterprise-grade web apps. This learning path will help you learn how easy it is to use Web Apps – so you can focus on your application code while Azure takes care of the infrastructure that lets you scale and securely run your apps.

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Azure Automation

Microsoft Azure Automation provides a way for users to automate the manual, long-running, error-prone and frequently repeated tasks that are commonly performed in a cloud and enterprise environment. This learning path will help you get started configuring your automation environment and finding existing solutions before starting to build your own runbooks.

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Azure Backup

Use Azure Backup to protect your data by backing it up to the Microsoft cloud. Your data can be anything from a single file or folder up to a datacenter. Azure Backup can be used in conjunction with Windows client operating systems, Windows Server, System Center Data Protection Manager, Microsoft SharePoint, Microsoft Exchange, Microsoft SQL Server, Hyper-V VMs, as well as Azure IaaS VMs running on Windows and Linux.

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Azure IoT Suite and preconfigured solutions Learning Path

The Azure IoT preconfigured solutions are the starting point for your own IoT implementations. The scenarios addressed by the preconfigured solutions include remote monitoring and predictive maintenance.

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Batch

Azure Batch helps you run large-scale parallel and HPC applications efficiently in the cloud. It is a platform service that provides job scheduling and autoscaling of a managed collection of virtual machines to run the jobs. By using Batch, you can configure workloads to run in Azure on demand or on a schedule and not worry about the complexity of configuring and managing an HPC cluster, VMs, or a job scheduler.

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Cloud Services

Cloud Services is Azure’s Platform-as-a-Service that supports applications that are scalable, reliable and inexpensive to operate, while giving you control over the virtual machines. This learning path will help you determine if Cloud Services is the right solution for your app and then get you going.

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Cortana Analytics Process (CAP)

The Cortana Analytics Process (CAP) is a systematic data science method prescribing a sequence of steps that leverage products in the Cortana Analytics suite and Azure tools to build predictive models for use in intelligent applications. The CAP steps provide guidance on how to define a problem, explore and analyze relevant data, build and evaluate predictive models, and then deploy those models in intelligent applications. The process is iterative: the understanding of data and its features evolves with modeling refinements and often requires reworking steps previously completed in the sequence.

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Data Catalog

Azure Data Catalog is a fully managed service that serves as a system of registration and system of discovery for enterprise data sources. It lets users—from analysts to data scientists to developers—register, discover, understand and consume data sources. Use crowdsourced annotations and metadata to capture tribal knowledge within your organisation, shine light on hidden data and get more value from your enterprise data sources.

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Event Hubs

Event Hubs is a highly scalable publish-subscribe event ingestor that can intake millions of events per second. This learning path will help you start using Event Hubs to process and analyse the massive amounts of data produced by your connected devices and applications.

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IoT Hub Learning Path

IoT Hub is a Microsoft Azure service that enables you to receive telemetry data at scale from your IoT devices and manage those devices.

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Learn Data Lake Analytics

Azure Data Lake Analytics is built to make big data analytics easy. This service lets you focus on writing, running and managing jobs, rather than operating distributed infrastructure. Instead of deploying, configuring and tuning hardware, you write queries to transform your data and extract valuable insights.

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Learn Data Lake Store

Data Lake Store is a hyper-scale repository for big data analytic workloads that stores every type of data regardless of its size, structure or how fast it is ingested. This learning path will help you understand how to use Data Lake Store.

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Learn Hadoop on HDInsight (Linux)

In HDInsight, you can work with big data in the cloud by using Hadoop, HBase, Apache Storm, and customized clusters. This learning path will help you learn Hadoop and its components so you can start to manage, analyze, and report on big data with high reliability and availability in HDInsight.

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Learn Hadoop on HDInsight (Windows)

In HDInsight, you can work with big data in the cloud by using Hadoop, HBase, Apache Storm, and customized clusters. This learning path will help you learn Hadoop and its components so you can start to manage, analyze, and report on big data with high reliability and availability in HDInsight.

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Learning path for Azure Data Factory

Data Factory is a cloud-based data integration service that orchestrates and automates the movement and transformation of data. Follow the guidance on this page for an effective learning path through Data Factory content.

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Learning path for StorSimple

StorSimple and Microsoft Azure offer a unique and integrated primary storage archival, and disaster recovery solution with Azure as the extension of on-premises storage. Use this learning path to deploy and manage your StorSimple.

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Media Services - Live Streaming

Microsoft Azure Media Services is an extensible cloud-based platform that enables developers to build scalable media management and delivery applications. Media Services is based on REST APIs that enable you to securely upload, store, encode and package video or audio content for both on-demand and live streaming delivery to various clients (for example, TV, PC and mobile devices). Additionally, Media Services provides features such as Media Indexing to enhance discoverability, Cross-Platform Players to simply distribution and Cloud DVR capabilities to move easily from Live content to on-demand programming and a large ecosystem of value-add third party partners.

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Media Services - on Demand Streaming

Microsoft Azure Media Services is an extensible cloud-based platform that enables developers to build scalable media management and delivery applications. Media Services is based on REST APIs that enable you to securely upload, store, encode and package video or audio content for both on-demand and live streaming delivery to various clients (for example, TV, PC and mobile devices). Additionally, Media Services provides features such as Media Indexing to enhance discoverability, Cross-Platform Players to simply distribution and Cloud DVR capabilities to move easily from Live content to on-demand programming and a large ecosystem of value-add third party partners.

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Redis Cache

Azure Redis Cache is based on the popular open-source Redis cache. It gives you access to a secure, dedicated Redis cache, managed by Microsoft and accessible from any application within Azure. Azure Redis Cache provides high throughput, consistent low-latency data access to power fast, scalable Azure applications.

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Service Bus

Service Bus is a generic, cloud-based messaging system for connecting just about anything - applications, services and devices - wherever they are. Use this learning path to understand how to connect apps running on Azure, on-premises - or both.

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Service Fabric

Service Fabric enables you to build and operate always-on, hyper-scale services using the same technology powering Microsoft’s Cloud. This learning path will help you get started developing scalable, reliable, and easily-managed applications for the cloud.

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Site Recovery

Use Site Recovery to orchestrate and automate protection of your on-premises workloads running on Hyper-V virtual machines, VMware virtual machines and physical servers to Azure or a secondary datacenter. Use this learning map to understand and deploy Site Recovery.

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SQL Database - use elastic database features and tools

The elastic database features of Azure SQL Database are designed to simplify data tier development and management especially for Software as a Service (SaaS) developers—where large numbers of databases are used to support a dynamic end-customer base.

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SQL database training: Learn Azure SQL Database

Follow this SQL database training to learn how to create, configure and develop with Azure SQL database, a relational cloud database based on the Microsoft SQL Server engine.

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SQL Server on an Azure Virtual Machine: Learning Path

You can host SQL Server on Azure Virtual Machines in a variety of configurations, ranging from a single database server to a multi-machine configuration using AlwaysOn Availability Groups and an Azure Virtual Network. This learning path will help you understand how to setup, manage, backup and restore and secure SQL Server on an Azure VM.

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Stream Analytics Learning Path

Learn how you can rapidly develop and deploy low-cost analytics solutions with Azure Stream Analytics service in the cloud. Uncover real-time insights from devices, sensors, infrastructure, and applications.

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Using the Team Data Science Process with Azure Machine Learning

The Team Data Science Process (TDSP) provides a systematic approach to building intelligent applications that enables teams of data scientists to collaborate effectively over the full lifecycle of activities needed to turn these applications into products.

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Virtual Machines

Virtual Machines gives you lots of control over the virtual machines your small or multi-tier applications are running on – as if the VMs were another rack in your datacenter. This learning path will help you understand how to create and manage VMs using the Azure portal, PowerShell, the Azure CLI, and Resource Manager templates.

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