Microsoft Azure cloud - Beginner Bootcamp (Updated Sep 2019)
4.3 (3,095 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
19,712 students enrolled

Microsoft Azure cloud - Beginner Bootcamp (Updated Sep 2019)

The most comprehensive Microsoft Azure course with lots of lab demos on how to deploy and manage Azure services
4.3 (3,095 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
19,712 students enrolled
Created by Varma Rudra
Last updated 10/2019
English
English
Current price: $64.99 Original price: $99.99 Discount: 35% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 31 hours on-demand video
  • 6 articles
  • 103 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • An overall understanding of Microsoft Azure services and start using Azure
  • Gain hands on experience in creating storage accounts and using blob, table and file storage services
  • Creation and configuration of Virtual networks, Network Security Groups, User defined routes and Azure load balancer
  • Creation and configuration of Virtual machines, Availability sets, Scale sets, Azure backup, Cloud Service, Service Fabric
  • Creation and configuration of Azure web apps, Mobile apps, API apps, App service Backup, monitoring and integrate with AAD
  • Creation and configuration of Azure SQL database, firewall rules, COSMOS DB, Data factory etc.
  • Creation and configuration of Data Lake store, Data Bricks, Data Explorer, Power BI, Data Catalog etc.
  • Creation and configuration of Azure logic apps, Functions, Service bus, On-premise data gateway, Integration account etc.
  • Creation and configuration of Event hub, IoT hub, Stream Analytics, Time Series Insights etc.
  • An overall understanding of security controls that you can apply to secure workload in Azure
Requirements
  • Basic computer knowledge
Description

A course with 12 sections with each section dedicated to Azure overview, storage, network, compute, App services, databases, Analytics, IoT, Integration, Security, Monitoring and Infrastructure as code (ARM Templates), Azure DevOps.

V2.6 09/2019:  A new section with lectures on Azure DevOps & Azure Infrastructure as code (ARM Templates)  has been added.

See the latest reviews we got at the bottom of the page.

Microsoft Azure is the fastest growing cloud platform in the world. This course is designed to help you to build strong foundation in Microsoft Azure. No prior Azure experience required. This course has been designed with an architectural approach.

In the first overview section of the course, I will introduce you to inner workings of Azure and take you through all key azure services at high level.

Once overview is completed, we will deep dive into following layers of Azure service areas with several hands lab demonstrations.

  1. Storage - Introduction to Azure storage services architecture; Storage account & Blob storage configuration using Azure portal; introduction to Azure file share and how to mount file share on a VM; Introduction to Azure tables, queues and disk storage; five layers of Azure storage security; Storage monitoring using Azure portal.


  2. Network - Introduction of Azure network architecture; Creation of Virtual network, Network security groups, NIC, UDR; Associate two NIC's to VM; Introduction to Azure High Availability solutions; Availability sets and Availability Zones; Introduction to load balancer and creation of LB in Azure; Introduction to VPN gateway and different connectivity options; Carry out peering of Virtual networks.


  3. Compute - Introduction to compute building blocks; Virtual machine creation, storage, availability sets, VM scale sets & auto scaling; Taking backup of VM and security and monitoring of Virtual machines; Cloud service creation; Service fabric cluster creation.


  4. App services - Introduction to Azure app services building blocks; Creating and managing web apps, mobile apps, API apps; Auto scaling of app services; Securing and monitoring of App services; High level overview of Azure notification hub, mobile engagement, Content delivery network, media services and Azure search.


  5. Databases - Introduction to Azure database services building blocks; Creating and managing Azure SQL database; Configuration of firewall rules, Azure active directory admin, Active Geo replication; Overview of SQL managed instance; Walkthrough of five layers of security; Azure SQL database monitoring; Overview & creation of COSMOS database; Overview and creation of Azure data factory; Overview of SQL stretch and SQL data warehouse.


  6. Deliver Big Data Solution on Azure  - Introduction to Azure Analytics services; Introduction to Data Lake Store; Creation of Data Lake Store; Migrate the data from SQL Database into Data Lake store using Data Factory; Introduction to Azure HDInsight; Process the data in blob storage using Azure HDInsight hive query; Introduction to Data Bricks; Use Data Bricks to process data from data lake store; Migrate data into SQL Data warehouse using data factory; Introduction to Power BI, Data Explorer and Data Catalog and lab demos on how to create and manage them.


  7. Deliver Application Integration on Azure - Introduction to Azure Integration services; Introduction to Azure Logic Apps;  Creation of Logic app to process incoming JSON message; Introduction to Azure functions; Create an Azure function and trigger from logic app; Introduction to Azure service bus; Create service bus queue and insert message into service bus from logic app; Introduction to on-premise data gateway; Access file system in Azure VM from logic app via data gateway; Introduction to Enterprise Integration pack; Develop logic app and validate XML using integration account; Introduction to Event Grid.


  8. Internet of things (IoT) - Walkthrough of IoT Building blocks; Introduction to Event Hub; Creation of Event Hub and post events; Introduction to IoT Hub; Creation of IoT Hub and apply device configuration to devices; Send messages into IoT Hub using simulated device; Overview of IoT Hub communication; Configure message routing in IoT hub; Introduction to Stream Analytics; End to end event flow from simulated device to Power BI; Trigger an Azure function from Stream Analytics; Overview of Azure IoT Edge,  Device provisioning services, IoT Central, IoT Solution accelerators; Introduction to Azure Time series Insights; View event data using Azure Time series insights explorer.


  9. Security - Introduction to Azure security related services; Introduction to Azure active directory and configure user settings. Introduction to Role Based Access Control; Creation of custom roles and dynamic groups; Introduction to conditional based access policies and implement location based conditional access policy; Introduction to Azure policies and implement them; Introduction to Security Centre and implement preventive measures; Introduction to Azure Key vault and access secret securely from Azure web app.


  10. Monitoring & Diagnostics - Introduction to Azure Monitoring & Diagnostic services, Azure monitor, Activity logs, metrics, Alerts and Autoscale; Monitor metrics and configure activity log alert using Azure monitor. Introduction to Azure monitor logs; configure data sources, view logs, configure log search alerts and import different monitoring solution; , Introduction to Application Insights and monitor apps using application map, smart detection and live metric stream.


  11. Azure infrastructure as code (ARM Templates) -  Introduction to ARM templates; Generate ARM templates from existing deployment; Create ARM templates using visual studio; Refer to keys in Vault;  Use custom images; Use incremental mode; Nested templates; Subscription level deployments


  12. Azure DevOps - Introduction to Azure DevOps; Walkthrough of Azure DevOps portal; Introduction to Azure Repos and publish both infrastructure as code and application code; Configure branches, branch security and policies; Introduction to Azure pipelines; Configure build and release pipeline to deploy both infrastructure and application on top of the infrastructure; Walk-through of key pipeline settings


This course contains both theory lectures ( slides are attached to download for reference) and a significant number of hands-on demos that helps you in gaining hands-on experience in key Azure services. This course help you in laying strong basic foundation in preparation of Microsoft Azure certifications.

Microsoft Azure is a constantly evolving platform and I will be keep close watch on Azure announcements and add new demos wherever possible.

So, start taking this course and put yourself in high demand in the world of IT and command higher salary!!!

Some of the reviews we got in the last one month:

" I have gone through first few sections of the course & they are in detail, gives lot of clarity and confidence that you are learning all that you need to know. Best value for money and knowledge gained is incomparable"

"The course is very comprehensive. It goes into details in every section of Azure. I highly recommend it to anyone who wants to learn about Microsoft Azure."

"detailed explanation on Azure, very good for beginners!!"

"Well explained and great content which covers most part of azure."

"One of the best course for Azure , i am learning for Az-103, the trainer has in depth knowledge".

Who this course is for:
  • Students who are willing to learn Azure from ground zero
  • Students who would like to make a career switch to Microsoft Azure cloud
  • Enterprise architects, Solution architects, IT developers
  • System, network, storage, application administrators
Course content
Expand all 196 lectures 30:50:51
+ Introduction to course
2 lectures 08:18

In this lecture, i will explain about key outcomes you will achieve by taking this course, scope of the course and how each section of the course is structured.

Preview 03:52

By the end of this lecture, you will be able to configure some settings in Udemy portal to improve your course taking experience.

Important lecture on how to improve lectures video quality
04:26
+ Azure Services overview
6 lectures 54:59

By the end of this lecture, you will understand basics of cloud computing, benefits of cloud computing, types of cloud computing, types of cloud services and different cloud offerings from Azure

Preview 11:46

By the end of this lecture, you will understand about inner workings of Azure, and how Azure infrastructure is structured and managed.

Preview 07:44

By the end of this lecture, you will understand how resources are structured & organised in Azure and also access management works in Azure at high level.

Preview 06:49

By the end of this lecture, you will learn about Azure services offered in different areas at a very high level.

Preview 13:31

By the end of this lab demo, you will become familiarised with Azure portal, how to create resources, how to view costs etc.

Preview 15:03

This lecture contains useful links to Microsoft documentation related to high level overview of Azure

Useful links related to high level overview of Azure
00:06

Test your high level knowledge about Azure Services

Azure Services overview
5 questions
+ Azure Storage Services
19 lectures 01:52:20

By the end of this lecture, you will gain understanding of key storage services offered in Azure.

Preview 05:02

By the end of this lecture, you will know what is storage account, storage account types, access tiers, performance tiers, and storage replication options.

Overview of Azure storage accounts
11:08

By the end of this lab, you will be able to create Azure storage account using Azure portal and understand different settings associated with the same.

Lab demo: Create and configure Azure storage account using Azure portal
08:10

By the end of this lecture. you will know about blob storage concepts, its use cases,  types of blobs, naming conventions, metadata of the blobs and snapshots.

Overview of Azure blob storage
08:43

By the end of this lecture, you will know how to create a container in storage account and upload a blob into the same using Azure portal and view different settings associated with blob and container.

Lab demo : Create a container and upload a blob into container and access it
05:16

By the end of this lecture, you will know about storage firewall rules, custom domain limitations, Content delivery network config and other key configuration areas of Azure storage account and blob.

Overview of Storage account and blob configuration
05:36

By the end of this lecture, you will know how to configure custom domain for your storage account.

Lab demo: Configure custom domain for storage account
04:53

By the end of this lecture, you will get an understanding of five layers of Azure storage security.

Azure storage security overview
08:25

By the end of this lecture, you will know how to configure five layers of data security of Azure storage using Azure portal.

Lab demo: Walkthrough of Azure security features using Azure portal
05:35

By the end of this lecture, you will gain understanding of Azure file storage concepts, access methods and transfer methods.

Introduction to Azure file storage
07:33

By the end of this lab, you will be able to create Azure fileshare using Azure portal, and mount the same on a virtual machine in Azure.

Lab demo: Create a file storage and Implement quotas for the same
04:59

By the end of this lecture, You will know about Azure table storage, its concepts and when to use the same. Also, you will have basic understanding of Azure queue service.

Overview of Azure table and queue storage
08:01

By the end of this lecture, you will gain understanding of Azure disk storage, disk types, unmanaged and managed disks and taking backup of disks.

Overview of Azure disk storage
07:19

By the end of this lecture, you will gain understanding of Storage analytics, metrics and logging.

Azure storage monitoring overview
05:49

By the end of this lab, you will be able to monitor metrics and enable logging on a storage account.

Lab demo: Monitor logs & metrics using Azure portal and Azure storage explorer
04:42

By the end of this lecture, you will learn about storage explorer, storage emulator, Server & Cloud explorer and Azure storage client library.

Overview of tools available to manage Azure storage resources
05:43

By the end of this lab demo, you will be able to use storage explorer to manage storage resources.

Lab demo: Manage Azure storage resources using storage explorer
05:14
Important azure storage service resources for reading
00:05

This lecture contains useful links to documentation related to Azure storage services

Useful links related to high level overview of Azure
00:06

Test your knowledge in Azure Storage Service

Azure Storage Services
5 questions
+ Azure Network Services
16 lectures 02:40:05

By the end of this lecture, you will gain understanding of key network services that you can use to deliver highly available, secure and stable networking solution on Azure.

Introduction to Azure Network Services building blocks
14:14

By the end of this lecture, you will gain understanding of what Azure virtual network is all about and its different capabilities.

Introduction to Virtual Network and its capabilities
07:30

By the end of this lab, you will be to create virtual network and subnets in Azure.

Lab demo - Step 1 - Creation of Virtual network and subnets using Azure portal
08:12

By the end of this lab, you will be able to deploy virtual machine into Azure virtual network.

Lab demo - Step 2 - Deploy a virtual machine into Azure Virtual network
09:46

By the end of this lecture, you will gain understating of Network security groups, security rules, service tags and application security group.

Network Security groups, service tags & application security group overview
12:20

By the end of this lab, you will be able to create NSG and configure inbound rules and associate the same at subnet level and VM level

Lab demo - Step 3 - Configure an NSG at Subnet level and VM level
09:20

By the end of this lecture, you will gain understanding of network interfaces, IP addresses and host name resolution in Azure

Introduction to Network Interfaces and IP address configuration
11:12

By the end of this lab demo, you will be create a NIC, add IP configuration to the same, associate the NIC to virtual machine and RDP into VM using new public IP address.

Lab demo - Step 4 - Associate multiple NICs and IP addresses to Virtual Machine
11:22

By the end of this lecture, you will gain understanding of following Azure services that you can use to deliver high availability solution on Azure

  • Traffic manager

  • Load balancer

  • Application gateway

  • Availability zones

  • Availability sets

Introduction to delivering high availability solution on Azure
09:37

By the end of this lab, you will be able to create availability zones and sets and deploy web severs into the same.

Lab demo - Step 5 - Manage high availability using Availability Zones and Sets
12:15

By the end of this lecture, you will gain understanding of key capabilities and components of Azure load balancer and key differences between basic and standard tiers.

Introduction to Azure load balancer
12:51

By the end of this lab, you will be able to create Azure load balancer using Azure portal and know about important settings related to the same.

Lab demo - Step 6 - Create Azure load balancer and go through important setting
06:28

By the end of this lecture, you will gain understanding of different ways you can connect virtual networks and in detail about VNet peering.

Introduction to VNet connectivity scenarios and VNet peering
08:01

By the end of this lab, you will be able to configure VNet peering between a Hub virtual network and two Spoke virtual networks.

Lab demo - Step 7 - Configure a VNet peering between virtual networks
18:18

In this lecture, I explained about different network connectivity scenarios, VPN gateways cross premise connectivity scenarios.

Introduction to VPN Gateway and connectivity scenarios
08:29

This lecture contains links to very useful Microsoft documentation in Azure networking area.

Useful links related to network services of Azure
00:10
Azure Network
5 questions
+ Azure Compute Services
23 lectures 02:56:59

By the end of this lecture, you will gain good understanding of Azure compute building blocks classification such as Virtual machines, storage, extensions, monitoring, Azure backup and recovery etc.

Preview 08:24

By the end of this lecture, you will know the ways of deploying virtual machines, configuration choices you make and also different types and sizes of VMs.

Virtual machines deployment options, configuration choices & sizes
04:34

By the end of this lab, you will be able to create Azure virtual machine using Azure portal and understand how to carry out key activities.

Lab: Creation of Azure virtual machine using Azure portal
11:18

By the end of this lab, you will be able to create Azure virtual machine using Azure PowerShell cmdlets.

Lab: Creation of Virtual machine using Azure powershelgl cmdlets
10:14

By the end of this lecture, you will know type of disks, performance tiers, storage encryption available in Azure 

Overview of Azure VM storage
05:55

By the end of this lecture, you will be able to choose managed disks when creating virtual machines, convert disk storage from standard to premium and also take a snapshot of the virtual machine.

Lab: Managed & Unmanaged disks, Changing performance tiers and taking snapshots
07:09

By the end of this lecture, you will gain understanding of Availability sets, Availability zones and storage availability options.

Introduction of availability sets, zones and storage availability
05:48

By the end of this lecture, you will be able to create availability set using Azure portal and also deploy virtual machines into availability set and view in which fault and update domain those virtual machines has been deployed into.

Lab: Creation of an Availability set and deploying virtual machines into it
11:03

In this lecture, I have explained about virtual machine scale sets and auto scaling.

Overview of Virtual machine scale sets
07:42

By the end of this lecture, You will be able to create virtual machine scale sets and configure metric based and schedule based auto scaling.

Lab: Scaling of Azure virtual machines in virtual machines scale set - Part 1
11:06

By the end of this lab, you will be able to test auto scaling configuration of Virtual machine scale sets.

Lab: Scaling of Azure virtual machines in virtual machines scale set - Part 2
07:54

By the end of this lab, You how how Azure backup works and the key components of Azure Backup.

Overview of Azure Backup
05:18

By the end of this lecture, you will be able to take the backup of virtual machine and also restore the VM by selecting restoration point.

Lab: Taking a backup of a VM using Azure backup and restoring the same
08:21

By the end of this lecture, you will know the key security services that you can use to secure your virtual machines.

Overview of Azure VM security
05:35

By the end of this lecture, You will be able to provide access to VM to a user and also create managed service identity for the VM and provide access to that identity to different Azure resources.

Lab: Walkthorugh of RBAC of Azure VM and managed service identity
07:23

By the end of this lecture, you will know how to monitor virtual machines using activity logs, metrics, diagnostics, alerts and know different options you have for advanced monitoring.

Overview of Azure VM monitoring
07:14

By the end of this lecture, you will be able to use different azure features such as activity logs, metrics, alerts, diagnostics etc to monitor azure virtual machines

Lab: Walkthrough of Azure VM metrics and configure an activity log alert
07:39

By the end of this lecture, you will know Azure cloud service, Cloud service roles and different config settings associated with cloud service.

Introduction to Azure cloud service
04:44

By the end of this lecture, you will be able to create cloud service using Azure portal and publish web application into cloud service using visual studio

Lab demo: Creation of cloud service using Azure portal and visual studio
09:36

By the end of this lecture, you will gain knowledge about micro services application, service fabric infrastructure/application/system services components.

Introduction to Azure Service Fabric
06:37

By the end of this lecture, you will be able to create a secure service fabric cluster using Azure portal.

Lab demo: Create a secure service fabric cluster using Azure portal
11:35

By the end of this lecture, you will be able to create a service fabric application using Visual studio and publish the same into Service fabric cluster.

Lab demo: Create a service fabric application and publish the same SF cluster
11:38

This lecture contains useful links to documentation related to Azure compute services.

Useful links to documentation related to compute services
00:12
Azure Compute
5 questions
+ Azure App Services
20 lectures 02:03:12

By the end of this lecture, you will know key building blocks of Azure app services and how they aid in delivering an end to end solution.

Preview 07:10

By the end of this lecture, you will understand what is app service plan, different pricing tiers and web apps.

App service plan overview
07:12

By the end of this lecture, You will  be able to create an app service plan using Azure portal and understand key configuration features of the same.

Lab demo: Create App Service plan and walkthrough of key features
05:41

By the end of this lecture, you will be able to create a web app using Azure portal and understand the key settings that you can configure using Azure portal.

Lab demo: Create an Azure Web App using portal and walthorugh of key features
08:55

By the end of this lecture, you will know how to publish asp.net application into Azure web app using Visual Studio.

Lab demo: Deploying an application into Azure web app from visual studio
04:33

By the end of this lecture, you will understand about Azure mobile apps, mobile backend end service development, client side SDK and offline data sync.

Introduction to Azure mobile apps
07:06

By the end of this lecture, you will be able to create a mobile backend service using Azure portal, configure a database connection, create a table using easy tables and finally download the sample code and test the same.

Lab demo - Create a mobile backend using portal and consume from Android app
09:48

By the end of this lecture, you will gain understanding of Azure notification hub and Azure mobile engagement.

Introduction to Azure notification hub and Mobile engagement
05:04

By the end of this lecture, you will know about API apps and API management and different capabilities of the same.

Introduction to API Apps & API management
07:00

By the end of this lecture, you will be able to create an API app using Azure portal, create an API using visual studio and publish into Azure api app and enable swagger UI for the same. You will also able to view swagger metadata.

Lab demo: Create an API app using portal and publish an API using Visual Studio
09:25

By the end of this lecture, you will be able to create API management using azure portal, understand different features associated with API management.

Lab demo: Creation of API management and walkthrough of key features
07:49

By the end of this lecture, you will understand Azure backup and different ways you can autoscale your app service.

Introduction to Azure app service backup and scaling
02:45

By the end of this lecture, you will be able to scale up your app service and scale out app service based on a schedule.

Lab demo: Scale up of App service & Scale out of App service based on schedule
05:26

By the end of this lecture, you will understand different security features of Azure app service.

Introduction to App Service security
06:24
Lab demo: Enable authentication with Azure active directory for web application
03:19

By the end of this lecture, you will know different ways to monitor your Azure app services.

Introduction to App Service monitoring
05:53

By the end of this lecture, you will be able to use different features available in Azure portal to monitor Azure app services.

Lab demo: Walkthrough of monitoring features of Azure app service
05:57

By the end of this lecture, you will understand about content delivery network, CDN profiles & CDN endpoints and CDN caching rules.

Introduction of Content distribution network
07:18

By the end of this lecture, you will understand about media services, different concepts of the same, different scenarios of video delivery using media services. You will gain a very high level knowledge on Azure search also.

Introduction to Media services and Search
06:14

This lecture contains links to app service related microsoft documentation

Useful links to app services related microsoft documentation
00:13
Azure App Service
5 questions
+ Azure Database services
15 lectures 01:52:02

By the end of this lecture, you will gain understanding of key building blocks of Azure database services

Preview 07:09

By the end of this lecture, you will understand about different deployment models, purchasing models, service tiers with respect to Azure SQL database. Also, you will gain understanding of SQL logical server and elastic pools.

Azure SQL Database overview
11:18

By the end of this lecture, you will be able to create SQL logical server and SQL database in Azure using Azure portal and gain understanding of key configuration areas of the same.

Lab demo: Creation of Azure SQL database using Azure portal
06:38

By the end of this lecture, you will gain understanding of Firewall & virtual network rules, Active-Geo replication, Failover groups and database backup.

Azure SQL Database configuration overview
07:49

By the end of this lecture, you will able to configure firewall and network rules, set azure active directory admin, use query editor and configure Active-Geo replication.

Lab demo: Configuration of firewall rules & Active geo replication
05:59

By the end of this lecture, you will gain understanding of Azure SQL managed instance, its structure and communication patterns.

Azure SQL managed instance overview
06:08

By the end of this lecture, you will gain understanding of management plane security, data plane security, encryption in transit, encryption at transit and auditing.

Azure SQL database security overview
10:22

By the end of this lab demo, you will configure management plane security, transparent data encryption and auditing for SQL server and SQL database.

Lab demo: Walthrough of Azure SQL database security features using Azure portal
05:45

By the end of this lecture, you will gain understanding of different tools that are available in Azure to monitor Azure SQL databases, elastic pools and managed instances.

Azure SQL database monitoring overview
07:48

By the end of this lab, you will be able to view metrics, enable diagnostic logging and use query performance insight to identify top resource consuming and long running queries.

Lab demo: Walkthrough of Azure SQL database motoring features using Azure portal
05:55

By the end of this lecture, you will gain understanding of Azure cosmos database, its structure, global distribution and partitioning, and requests.

Azure COSMOS DB overview
12:55

By the end of this lab demo, you will be able to create Cosmos DB account, create a database, create a collection and add an item using Azure portal.

Lab demo: Walkthrough of Azure COSMOS DB creation using Azure portal
07:33

By the end of this lecture, you will gain understanding of Azure data factory and its key concepts such as pipeline, activity, datasets, linked services etc.

Introduction to Azure data factory
05:36

By the end of this lecture, you will be able to create data factory using Azure portal and create a pipeline to copy data from one place to another place.

Lab demo: Creation of data factory using Azure portal
05:33

By the end of this lecture, you will gain understanding of SQL data warehouse and SQL stretch database.

SQL Stretch database & SQL Data Warehouse
05:34
+ Deliver big data solution on Azure using Azure analytics services
16 lectures 02:06:32

By the end of this lecture, you will gain understanding of key building blocks of big data solution offered by Azure.

Preview 06:51

By the end of this lecture, you will gain understanding of Azure Data Lake store Gen 2, ABFS driver and role of data lake store in delivering big data solution.

Introduction to Data Lake Store
06:52

By the end of this lab, you will be able to create data lake store gen 2 using Azure portal and upload the data into the same using Storage explorer.

Lab demo: Create a data lake store 2 and access the same with Storage explorer
07:08

By the end of this lecture, you will be able to created linked services and data stores in data factory for Azure SQL database and data lake store gen 2. Also, you will be able to configure and run a copy data activity to copy data from SQL database into Data lake store gen 2.

Lab demo: Ingest data into Data Lake store using Data factory
07:09

By the end of this lecture, You will know about Apache hadoop, Azure HDInsight, scenarios where both can be used and different cluster types available in Azure HDInsight.

Introduction to Azure HDInsight
04:59

By the end of this lab you will be able to use Azure HDInsight hive query to process data in blob storage. You will also able to create HDInsight cluster on demand using Azure data factory.

Lab demo: Process the data in blob storage using Azure HDInsight hive query
18:19

By the end of this lecture, you will gain understanding of Azure DataBricks and its key concepts.

Introduction of Azure Data Bricks
05:57

By the end of this lab, you will be able to create data bricks using Azure and create spark cluster on the same. Also you will be able to complete all prerequisites required to process data into Data Lake store using data bricks.

Lab demo: Create Data bricks workspace and Spark cluster. Prep for extraction.
09:34

By the end of this lab, you will be able to write a notebook in SPARK scala language to process data in data lake store. Also, you will be able to trigger notebook from data factory.

Lab demo: Extract and transform the data using Spark on Azure Data bricks
06:43

By the end of this lab, you will be able to copy the data from data lake store to sql data warehouse using data factory.

Lab demo: Load the data into SQL Data Warehouse
17:36

By the end of this lecture, you will gain understanding of Power BI, five steps in solution development based on Power BI, different tools available in Power BI etc.

Introduction to Power BI
07:07

By the end of this lab demo, you will be develop a report in Power BI to visualise the data that is present in SQL data warehouse.

Lab demo: Visualize the data using Power BI
05:53

By the end of this lecture, you will gain understanding of Azure Data Explorer, key steps involved in using the same and key steps in ingesting data into data explorer and carrying out time series analysis.

Introduction to Azure data explorer
06:30

By the end of this lab, you will be able to create data explorer cluster, create a database in it, create table, ingest data into that table and query the data using simple queries.

Preview 06:22

By the end of this lecture, you will gain understanding of Azure Data Catalog and key steps of using Data Catalog.

Introduction to Azure data catalog
03:19

By the end of this lab demo, you will be able to create a Data Catalog, register data assets into the same, discover assets and look into the data if required.

Lab demo: Create data catalog and register data assets
06:13
+ Build Enterprise Application Integration solution on Azure using Azure services
16 lectures 02:55:58

By the end of this lecture, you will gain understanding of all Azure key services that you can use in building enterprise application integration on Azure.

Preview 10:55

By the end of this lecture, you will gain an understanding of logic apps fundamentals, capabilities and benefits of logic apps, key components of logic apps and steps to develop workflows in logic apps.

Introduction to Azure Logic Apps
11:31

By the end of this lab, you will able to create a sample logic app to monitor outlook account and delete an email from coming from a particular account. You will also gain understanding of different configuration settings associated with logic apps.

Lab demo - Create a logic app using Azure portal and go through its capabilities
12:42

By the end of this lab, you will be able to create a logic with http trigger and trigger the same by posting Json message. You will also able to extend the logic app to add an SQL action to insert a row into SQL database and monitor the run.

Lab demo - Extend the logic app to create sales order in SQL database
17:36

By the end of this lecture, you will gain understanding of key features associated with Azure functions, triggers and integration features of Azure functions, hosting plans and triggers & bindings of Azure functions.

Introduction to Azure functions
12:27

By the end of this lab demo, you are able to create an Azure function App using Azure portal and configure some important settings associated with the same. You will also able create a function with http trigger and trigger the same by posting a Json message.

Lab demo - Create an Azure function using Azure portal
14:07

By the end of this lab, you will be able to clone an existing logic app and add an action to trigger Azure functions, modify the Azure function to get a data attribute in string and return status code in int back to the logic app.

Lab demo - Call Azure function from logic app to transform data
10:54

By the end of this lecture, you will gain understanding of Service bus namespace, service bus queues, service bus topics and some advanced features that you can use in Service bus.

Introduction to Azure service bus
11:32

By the end of this lab, you will be create service bus namespace, configure shared access policy at namespace level, create a queue in the namespace and create a topic and two subscriptions for the topic.

Lab demo - Creation of Service Bus namespace, Queue, Topic, subscriptions
09:32

By the end of this lab, you will be able to post a message into service bus queue from logic app and also trigger Azure function whenever a message is posted into service bus.

Lab demo - Sending messages into Queue using logic apps and trigger function
11:42

By the end of this lab, you will gain understanding of on-premise data gateway, how it works and Integration service environment.

Introduction to On-premise data gateway and Integrated service environment
08:18

By the end of this lab, you will be able to install on-premise data gateway, and create a data gateway service in cloud.

Lab demo - Install on-premise data gateway and gateway cloud service
07:23

By the end of this lab, You will be able to create a logic app with file system trigger, use on-premise data gateway connection to access file, read and parse contents of the file and trigger Azure function.

Lab demo - Develop Logic app to access files in a Windows server
14:05

By the end of this lecture, you will gain understanding of Enterprise integration pack and different artefacts you can have in Integration account.

Introduction to Enterprise Integration Pack
05:45

By the end of this lab, you will be able to create an integration account, understand key artefacts of the same. Also you are able to validate incoming XML using Schema stored in Integration account.

Preview 09:00

By the end of this lecture, you will gain understanding of Event Grid, its key concepts, security and event grid domains.

Introduction to Azure Event Grid
08:29
+ Build IoT Solution using Azure services
15 lectures 02:49:46

By the end of this lecture, you will gain understanding of different layers of a typical IoT solution and different Azure services that can you can use to deliver IoT Solution.

Preview 15:56

By the end of this lecture, you will gain understanding of even hub, key components of event hub, Event hubs for Apache Kafka, Event hub capture and throughput units.

Introduction to Event Hub
11:10

By the end of this lab, you will be able to create event hub namespace, configure some important settings, create an event hub under the namespace and also create two consumer groups in this event hub.

Lab demo - Create an Event hub using Azure portal and send events into the same
08:49

By the end of this lecture, you will gain understanding of Azure IoT and its components, Identity registry, Device & Module twins and Automatic device configuration.

Overview of Azure IoT Hub
11:02

By the end of this lab, you will able to create an IoT hub, register a device within IoT Hub, view device twin information and finally apply device configuration to all devices registered with IoT hub.

Lab demo - Creation of IoT Hub and device and apply device configuration
15:59

By the end of this lab, you will be able to develop a program to simulate a device to send messages to IoT Hub. Also you will be able to develop a program to retrieve messages from IoT hub.

Lab demo - Send messages into IoT hub using a simulated device
14:08

By the end of this lecture, you will gain understanding of device to cloud communication, cloud to device communication, IoT Hub end points and message routing.

Overview of IoT Hub communication
11:52

By the end of this lab, you will be able to configure message routing in such a way messaged posted into IoT hub will be routed to Azure blob storage if there is no temperature alert and those messages with temperature alert will be routed to Event Hub.

Lab demo - Define message routing to route messages to custom end points
13:03

By the end of this lecture, you will gain understanding of Stream Analytics, its key components and stream analytics on Edge.

Introduction to Stream Analytics
08:55

By the end of this lab, you will be able to develop stream analytics job, configure event hub as an input and power BI as Output, write stream analytics query to fetch data from event and post into Power BI and visualise the data using power BI report.

Lab : End to End events flow from device to PowerBI via IoT and Stream Analytics
10:27

By the end of this lab, you will be able to develop stream analytics job to trigger an Azure function with payload of messages count with temperature greater than 31 degrees.

Lab : Trigger an Azure function from Stream Analytics
12:34

By the end of this lecture, you will gain understanding of IoT Edge, different components of the same and IoT device provisioning service.

Overview of Azure IoT Edge and Device provisioning services
10:01

By the end of this lab, you will gain understanding of IoT Central application, its key components and IoT Solution accelerators.

Introduction to IoT Central and IoT Solution accelerators
09:52

By the end of this lecture, you will gain understanding of Azure time series insights and its capabilities.

Introduction to Azure Time Series Insights
07:04

By the end of this lab, you will be able to create Azure time series insights environment, configure event hub as event source and explore the event data using time series insights explorer.

Lab demo: Explore the IoT telemetry data using Time series insights
08:54