The complete walkthrough of end to end Azure services

The most comprehensive Azure course with lots of lab demonstrations showing how to create and configure Azure services

Instructed by Varma - TOGAF Certified Enterprise Architect

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  • Get an excellent understanding of Azure architecture and Azure services offerings
  • Learn all the basics required for each of the Azure services
  • Gain hands-on experience in creating & managing key Azure services
  • have a strong foundation in preparation for all Microsoft Azure certifications

V2.3 03/2019:  Azure Big data solution, Application Integration and Internet of Things sections has been completely redone with step by step approach to deliver solutions using Azure services on Azure. See the latest reviews we got at the bottom of the page. Upcoming update is on Azure Security section in 3 weeks.

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; Introduction to Load balancer, Application Gateway; Introduction to VPN gateway and different connectivity options.

     

  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 - Security Centre, Key Vault, Azure Active Directory, RBAC, MFA etc.

  10. Monitoring & Diagnostics - Operations management suite, Monitor, Log analytics, Application Insights, Automation, Backup and disaster recovery

     

  11. Tools - Azure power shell, Azure REST APIs, ARM Templates, Storage explorer, Storage emulator

  12. Azure services comparison - Comparison of different Azure services

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 three months:

"Absolutely loved the course ..came here with no prior knowledge . Now i'm very happy with the knowledge and confidence i have received from the course .. Good option for beginners"

"He has excellent knowledge about the azure. if we do the course well it will be more than enough to crack the interview. i would suggest he should add labs about Azure Devops too then it will be a complete course."

"Nice Course Structure. Explain complex concept in easy way."

"This Course really helped me passing the exam, topic and their explanation was very engaging and well articulated. I have just passed the exam 70-535. Thank you Rudra ".

  • Basic computer knowledge
  • 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
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Section 1 : Introduction to course

  • Lecture 1 :
  • 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.

Section 2 : Azure Services overview

  • Lecture 1 :
  • Introduction to Cloud Computing
  • 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
  • Lecture 2 :
  • Introduction to Microsoft Azure and its inner workings
  • By the end of this lecture, you will understand about inner workings of Azure, and how Azure infrastructure is structured and managed.
  • Lecture 3 :
  • Introduction to Azure resource structure
  • 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
  • Lecture 4 :
  • Azure services overview - 10000 feet view
  • By the end of this lecture, you will learn about Azure services offered in different areas at a very high level.
  • Lecture 5 :
  • Lab demo Azure portal overview
  • By the end of this lab demo, you will become familiarised with Azure portal, how to create resources, how to view costs etc.

Section 3 : Azure Storage Services

  • Lecture 1 :
  • Introduction to Azure storage services building blocks
  • By the end of this lecture, you will gain understanding of key storage services offered in Azure
  • Lecture 2 :
  • Overview of Azure storage accounts
  • By the end of this lecture, you will know what is storage account, storage account types, access tiers, performance tiers, and storage replication options.
  • Lecture 3 :
  • Lab demo - Create and configure Azure storage account using Azure portal
  • 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.
  • Lecture 4 :
  • Overview of Azure blob storage
  • 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.
  • Lecture 5 :
  • Lab demo - Create a container and upload a blob into container and access it
  • 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.
  • Lecture 6 :
  • Overview of Storage Account and Blob config
  • 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.
  • Lecture 7 :
  • Lab demo - Configure custom domain for storage account
  • By the end of this lecture, you will know how to configure custom domain for your storage account.
  • Lecture 8 :
  • Azure storage security overview
  • By the end of this lecture, you will get an understanding of five layers of Azure storage security.
  • Lecture 9 :
  • Lab demo - Walkthrough of Azure security features using Azure portal
  • By the end of this lecture, you will know how to configure five layers of data security of Azure storage using Azure portal
  • Lecture 10 :
  • Introduction to Azure file storage
  • By the end of this lecture, you will gain understanding of Azure file storage concepts, access methods and transfer methods.
  • Lecture 11 :
  • Lab demo - Create a file storage and Implement quotas for the same
  • 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.
  • Lecture 12 :
  • Overview of Azure table and queue storage
  • 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.
  • Lecture 13 :
  • Overview of Azure disk storage
  • 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.
  • Lecture 14 :
  • Azure storage monitoring overview
  • By the end of this lecture, you will gain understanding of Storage analytics, metrics and logging.
  • Lecture 15 :
  • Lab demo - Monitor logs & metrics using Azure portal and Azure storage explorer
  • By the end of this lab, you will be able to monitor metrics and enable logging on a storage account.
  • Lecture 16 :
  • Overview of tools available to manage Azure storage resources
  • By the end of this lecture, you will learn about storage explorer, storage emulator, Server & Cloud explorer and Azure storage client library.
  • Lecture 17 :
  • Lab demo - Manage Azure storage resources using storage explorer
  • By the end of this lab demo, you will be able to use storage explorer to manage storage resources.

Section 4 : Azure Network Services

  • Lecture 1 :
  • Introduction to Azure network services architecture
  • In this lecture, I explained about different building blocks of Azure network services and how all fit together to deliver a networking solution
  • Lecture 2 :
  • Azure Virtual Network definition & capabilities
  • In this lecture, I explained what is Azure virtual network and also explain about the key capabilities of the same
  • Lecture 3 :
  • Lab demo - Create a virtual network & subnets using Azure portal
  • In this lab I have shown how to create a virtual network using azure portal, take you through some of the key configuration setting and finally create subnets within the VNet
  • Lecture 4 :
  • Introduction to Network Security groups
  • In this lecture, i explained about Network Security Group (NSG), about Inbound rules, Outbound rules, rule prioritisation and default rules
  • Lecture 5 :
  • Lab demo -Create a network security group and inbound-outbound rules using Azure
  • In this lab, I have shown how to create a NSG and create inbound/outbound rules and finally apply the same at subnet level
  • Lecture 6 :
  • Lab - Create two web servers and deploy them into subnets and test NSG rules
  • In this lab, i have shown how to create two web servers and deploy them into Webservers subnet. install IIS on each of this server and text whether network security group rules we have defined in the earlier is working properly or not
  • Lecture 7 :
  • Introduction to Network interfaces, Route tables and VNet peering
  • In this lecture, I will introduce you to the concepts of network interfaces, route tables and VNet peering
  • Lecture 8 :
  • Lab - Create a user defined route to route traffic via network appliance
  • In this lab, I have shown how to create a user defined route to route the traffic destined to a subnet via LAN routing appliance
  • Lecture 9 :
  • Lab - Carry out peering of two virtual networks in the same region
  • In this lab, I have shown how to peer two virtual networks in the same region using Azure portal
  • Lecture 10 :
  • IP Address configuration
  • In this lecture, I explained about public and private IP addresses and what azure resources can have the same. I will also explain about static and dynamic IP configuration
  • Lecture 11 :
  • Lab - IP address configuration using Azure portal
  • In this lecture, I have shown how to disable public IP address, where you can change IP address mode (dynamic & static) and  configure a domain name for your public IP address
  • Lecture 12 :
  • VNets, Subnets and NSG design patterns
  • In this lecture, I have explained about different scenarios of VNets & Subnets design patterns and Subnets and NSGs design patterns
  • Lecture 13 :
  • Introduction to Load Balancer, Application gateway and Traffic manager
  • In this lecture, I provided a brief introduction to Load balancer, Application gateway and Traffic manager
  • Lecture 14 :
  • Azure load balancer walkthrough
  • In this lecture, I explained about different components and features of the load balancer, types of health probes and Azure availability sets.
  • Lecture 15 :
  • Lab demo - Internet load balancing using Azure load balancer - Part 1
  • In this lab, I will show you how to create an availability set and deploy two web servers in the same. I will install IIS on the web servers and disassociate the public IP addresses. Basically I am preparing the ground work for the next lab
  • Lecture 16 :
  • Lab demo - Internet load balancing using Azure load balancer - Part 2
  • In this lab, I have shown how to create and configure the load balancer to distribute the traffic evenly to two web servers we have created in the earlier lab.
  • Lecture 17 :
  • Introduction to VPN Gateway and connectivity scenariosAzure Services
  • In this lecture, I explained about different network connectivity scenarios, VPN gateways cross premise connectivity scenarios.

Section 5 : Azure Compute Services

  • Lecture 1 :
  • Azure compute services building blocks overview
  • 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.
  • Lecture 2 :
  • Virtual machines deployment options, configuration choices & sizes
  • 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.
  • Lecture 3 :
  • Lab - Creation of Azure virtual machine using Azure portal
  • 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.
  • Lecture 4 :
  • Overview of Azure VM storage
  • By the end of this lecture, you will know type of disks, performance tiers, storage encryption available in Azure
  • Lecture 5 :
  • Lab demo - Managed & Unmanaged disks, Changing performance tiers and taking s
  • 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.
  • Lecture 6 :
  • Introduction of availability sets, zones and storage availability
  • By the end of this lecture, you will gain understanding of Availability sets, Availability zones and storage availability options.
  • Lecture 7 :
  • Lab - Creation of an Availability set and deploying virtual machines into it
  • 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
  • Lecture 8 :
  • Overview of Virtual machine scale sets
  • In this lecture, I have explained about virtual machine scale sets and auto scaling.
  • Lecture 9 :
  • Lab - Scaling of Azure virtual machines in virtual machines scale set - Part 1
  • 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.
  • Lecture 10 :
  • Lab - Scaling of Azure virtual machines in virtual machines scale set - Part 2
  • By the end of this lab, you will be able to test auto scaling configuration of Virtual machine scale sets.
  • Lecture 11 :
  • Overview of Azure Backup
  • By the end of this lab, You how how Azure backup works and the key components of Azure Backup.
  • Lecture 12 :
  • Lab - Taking a backup of a VM using Azure backup and restoring the same
  • 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.
  • Lecture 13 :
  • Overview of Azure VM security
  • By the end of this lecture, you will know the key security services that you can use to secure your virtual machines.
  • Lecture 14 :
  • Lab - Walkthorugh of RBAC of Azure VM and managed service identity
  • 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.
  • Lecture 15 :
  • Overview of Azure VM monitoring
  • 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.
  • Lecture 16 :
  • Lab - Walkthrough of Azure VM metrics and configure an activity log alert
  • 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
  • Lecture 17 :
  • Introduction to Azure cloud service
  • By the end of this lecture, you will know Azure cloud service, Cloud service roles and different config settings associated with cloud service.
  • Lecture 18 :
  • Lab demo - Creation of cloud service using Azure portal and visual studio
  • 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
  • Lecture 19 :
  • Introduction to Azure Service Fabric
  • By the end of this lecture, you will gain knowledge about micro services application, service fabric infrastructure/application/system services components
  • Lecture 20 :
  • Lab demo - Create a secure service fabric cluster using Azure portal
  • By the end of this lecture, you will be able to create a secure service fabric cluster using Azure portal.
  • Lecture 21 :
  • 22. Lab demo - Create a service fabric application and publish the same SF clust
  • 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.

Section 6 : Azure App Services

  • Lecture 1 :
  • Introduction to Azure App service building blocks
  • 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.
  • Lecture 2 :
  • App service plan overview
  • By the end of this lecture, you will understand what is app service plan, different pricing tiers and web apps.
  • Lecture 3 :
  • Lab demo - Create App Service plan and walkthrough of key features
  • 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.
  • Lecture 4 :
  • Lab demo - Create an Azure Web App using portal and walthorugh of key featur
  • 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.
  • Lecture 5 :
  • Lab demo - Deploying an application into Azure web app from visual studio
  • By the end of this lecture, you will know how to publish asp.net application into Azure web app using Visual Studio.
  • Lecture 6 :
  • Introduction to Azure mobile apps
  • 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.
  • Lecture 7 :
  • Lab demo - Create a mobile backend using portal and consume from Android app
  • 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.
  • Lecture 8 :
  • Introduction to Azure notification hub and Mobile engagement
  • By the end of this lecture, you will gain understanding of Azure notification hub and Azure mobile engagement.
  • Lecture 9 :
  • Introduction to API Apps & API management
  • By the end of this lecture, you will know about API apps and API management and different capabilities of the same.
  • Lecture 10 :
  • Lab demo - Create an API app using portal and publish an API using Visual Studio
  • 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.
  • Lecture 11 :
  • Lab demo - Creation of API management and walkthrough of key features
  • By the end of this lecture, you will be able to create API management using azure portal, understand different features associated with API management.
  • Lecture 12 :
  • Introduction to Azure app service backup and scaling
  • By the end of this lecture, you will understand Azure backup and different ways you can autoscale your app service.
  • Lecture 13 :
  • Lab demo - Scale up of App service & Scale out of App service based on schedule
  • By the end of this lecture, you will be able to scale up your app service and scale out app service based on a schedu
  • Lecture 14 :
  • Introduction to App Service security
  • By the end of this lecture, you will understand different security features of Azure app service.
  • Lecture 15 :
  • Lab demo - Enable authentication with Azure active directory for web application
  • Lecture 16 :
  • Introduction to App Service monitoring
  • By the end of this lecture, you will know different ways to monitor your Azure app services.
  • Lecture 17 :
  • Lab demo - Walkthrough of monitoring features of Azure app service
  • By the end of this lecture, you will be able to use different features available in Azure portal to monitor Azure app services.
  • Lecture 18 :
  • Introduction of Content distribution network
  • By the end of this lecture, you will understand about content delivery network, CDN profiles & CDN endpoints and CDN caching rules.
  • Lecture 19 :
  • Introduction to Media services and Search
  • 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.

Section 7 : Azure Database services

  • Lecture 1 :
  • Introduction to Azure database services building blocks
  • By the end of this lecture, you will gain understanding of key building blocks of Azure database services
  • Lecture 2 :
  • Azure SQL Database overview
  • 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.
  • Lecture 3 :
  • Lab demo - Creation of Azure SQL database using Azure portal
  • 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.
  • Lecture 4 :
  • Azure SQL Database configuration overview
  • By the end of this lecture, you will gain understanding of Firewall & virtual network rules, Active-Geo replication, Failover groups and database backup.
  • Lecture 5 :
  • Lab demo - Configuration of firewall rules & Active geo replication
  • 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.
  • Lecture 6 :
  • Azure SQL managed instance overview
  • By the end of this lecture, you will gain understanding of Azure SQL managed instance, its structure and communication patterns
  • Lecture 7 :
  • Azure SQL database security overview
  • 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.
  • Lecture 8 :
  • Lab demo - Walthrough of Azure SQL database security features using Azure portal
  • By the end of this lab demo, you will configure management plane security, transparent data encryption and auditing for SQL server and SQL database.
  • Lecture 9 :
  • Azure SQL database monitoring overview
  • 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.
  • Lecture 10 :
  • Lab demo -Walkthrough of Azure SQL database motoring features using Azure portal
  • 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.
  • Lecture 11 :
  • Azure COSMOS DB overview
  • By the end of this lecture, you will gain understanding of Azure cosmos database, its structure, global distribution and partitioning, and requests.
  • Lecture 12 :
  • Lab demo - Walkthrough of Azure COSMOS DB creation using Azure portal
  • 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.
  • Lecture 13 :
  • Introduction to Azure data factory
  • 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.
  • Lecture 14 :
  • Lab demo - Creation of data factory using Azure portal
  • 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.
  • Lecture 15 :
  • SQL Stretch database & SQL Data Warehouse
  • By the end of this lecture, you will gain understanding of SQL data warehouse and SQL stretch database.

Section 8 : Deliver big data solution on Azure using Azure analytics services

  • Lecture 1 :
  • Introduction to Azure big data solution building blocks
  • By the end of this lecture, you will gain understanding of key building blocks of big data solution offered by Azure.
  • Lecture 2 :
  • Introduction to Data Lake Store
  • 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.
  • Lecture 3 :
  • Lab demo: Create a data lake store 2 and access the same with Storage explorer
  • 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.
  • Lecture 4 :
  • Lab demo: Ingest data into Data Lake store using Data factory
  • 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.
  • Lecture 5 :
  • Introduction to Azure HDInsight
  • 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.
  • Lecture 6 :
  • Lab demo: Process the data in blob storage using Azure HDInsight hive query
  • 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.
  • Lecture 7 :
  • Introduction of Azure Data Bricks
  • By the end of this lecture, you will gain understanding of Azure DataBricks and its key concepts.
  • Lecture 8 :
  • Lab demo: Create Data bricks workspace and Spark cluster. Prep for extraction.
  • 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.
  • Lecture 9 :
  • Lab demo: Extract and transform the data using Spark on Azure Data bricks
  • 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.
  • Lecture 10 :
  • Lab demo: Load the data into SQL Data Warehouse
  • 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.
  • Lecture 11 :
  • Introduction to Power BI
  • 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.
  • Lecture 12 :
  • Lab demo: Visualize the data using Power BI
  • 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.
  • Lecture 13 :
  • Introduction to Azure data explorer
  • 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.
  • Lecture 14 :
  • Lab demo: Create data explorer and ingest & query data
  • 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.
  • Lecture 15 :
  • Introduction to Azure data catalog
  • By the end of this lecture, you will gain understanding of Azure Data Catalog and key steps of using Data Catalog
  • Lecture 16 :
  • Lab demo: Create data catalog and register data assets
  • 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.

Section 9 : Build Enterprise Application Integration solution on Azure using Azure services

  • Lecture 1 :
  • Walkthrough of Azure Enterprise Application Integration building
  • 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.
  • Lecture 2 :
  • Introduction to Azure Logic Apps
  • 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.
  • Lecture 3 :
  • Lab demo - Create a logic app using Azure portal and go through
  • 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.
  • Lecture 4 :
  • Lab demo - Extend the logic app to create sales order in SQL da
  • 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.
  • Lecture 5 :
  • Introduction to Azure functions
  • 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 fun
  • Lecture 6 :
  • Lab demo - Create an Azure function using Azure portal
  • 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.
  • Lecture 7 :
  • Lab demo - Call Azure function from logic app to transform data
  • 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.
  • Lecture 8 :
  • Introduction to Azure service bus
  • 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.
  • Lecture 9 :
  • Lab demo - Creation of Service Bus namespace, Queue, Topic, sub
  • 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.
  • Lecture 10 :
  • Lab demo - Sending messages into Queue using logic apps and tr
  • 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.
  • Lecture 11 :
  • Introduction to On-premise data gateway and Integrated service
  • By the end of this lab, you will gain understanding of on-premise data gateway, how it works and Integration service environment.
  • Lecture 12 :
  • Lab demo - Install on-premise data gateway and gateway cloud
  • By the end of this lab, you will be able to install on-premise data gateway, and create a data gateway service in cloud.
  • Lecture 13 :
  • Lab demo - Develop Logic app to access files in a Windows service
  • 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.
  • Lecture 14 :
  • Introduction to Enterprise Integration Pack
  • By the end of this lecture, you will gain understanding of Enterprise integration pack and different artefacts you can have in Integration account.
  • Lecture 15 :
  • Lab demo - Create an Integration Account and link to logic app
  • 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.
  • Lecture 16 :
  • Introduction to Azure Event Grid
  • By the end of this lecture, you will gain understanding of Event Grid, its key concepts, security and event grid domains.

Section 10 : Build IoT Solution using Azure services

  • Lecture 1 :
  • Walkthrough of Azure IoT building blocks
  • 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.
  • Lecture 2 :
  • Introduction to Event Hub
  • 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.
  • Lecture 3 :
  • Lab demo - Create an Event hub using Azure portal and send events into the same
  • 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.
  • Lecture 4 :
  • Overview of Azure IoT Hub
  • By the end of this lecture, you will gain understanding of Azure IoT and its components, Identity registry, Device & Module twins and Automatic device configuratio
  • Lecture 5 :
  • Lab demo - Creation of IoT Hub and device and apply device configuration
  • 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.
  • Lecture 6 :
  • Lab demo - Send messages into IoT hub using a simulated device
  • 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.
  • Lecture 7 :
  • Overview of IoT Hub communication
  • 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.
  • Lecture 8 :
  • Lab demo - Define message routing to route messages to custom end points
  • 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.
  • Lecture 9 :
  • Introduction to Stream Analytics
  • By the end of this lecture, you will gain understanding of Stream Analytics, its key components and stream analytics on Edge.
  • Lecture 10 :
  • Lab demo - End to End events flow from device to PowerBI via IoT and Stream
  • 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.
  • Lecture 11 :
  • Lab demo - Trigger an Azure function from Stream Analytics
  • 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.
  • Lecture 12 :
  • Overview of Azure IoT Edge and Device provisioning services
  • By the end of this lecture, you will gain understanding of IoT Edge, different components of the same and IoT device provisioning service.
  • Lecture 13 :
  • Introduction to IoT Central and IoT Solution accelerators
  • By the end of this lab, you will gain understanding of IoT Central application, its key components and IoT Solution accelerators.
  • Lecture 14 :
  • Introduction to Azure Time Series Insights
  • By the end of this lecture, you will gain understanding of Azure time series insights and its capabilities.
  • Lecture 15 :
  • Lab demo - Explore the IoT telemetry data using Time series insights
  • 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.

Section 11 : Azure Security

  • Lecture 1 :
  • Security Center
  • Lecture 2 :
  • Lab - Security Centre walkthrough in Azure portal
  • Lecture 3 :
  • Key Vault
  • Lecture 4 :
  • Lab - Working with Key Vault
  • Lecture 5 :
  • Azure Active Directory
  • Lecture 6 :
  • Lab - Working with Azure Active Directory
  • Lecture 7 :
  • Azure Role Based Access Control
  • Lecture 8 :
  • Lab - Exploring Role Based Access Control
  • Lecture 9 :
  • Azure Active Directory B2C & Multi Factor Authentication
  • Lecture 10 :
  • Lab - Enabling multi factor authentication for Azure account

Section 12 : Azure Monitoring & Diagnostics

  • Lecture 1 :
  • Introduction to Azure Monitoring & Diagnostics
  • In this lecture, I will take you through five key stages of monitoring and Azure services mapped to each stage.
  • Lecture 2 :
  • Types of monitoring data collected in Azure
  • In this lecture, I will take you through three types of data collected in Azure namely Metrics, Activities and Diagnostics data
  • Lecture 3 :
  • Lab - View metrics, activity logs & diagnostic logs using Azure portal
  • In this lab, I will show how you can view metrics, activity logs and diagnostics settings etc. Also, I will show you how you can export the monitoring data to different destinations using Azure portal
  • Lecture 4 :
  • Introduction to Azure Monitor
  • In this lecture, I will provide a brief overview of the Azure monitor
  • Lecture 5 :
  • Lab - Walkthrough of Azure monitor , define alerts & auto scaling
  • In this lecture, I will give you a walkthrough of Azure monitor using Azure portal.I will show how to configure an activity log alert, define action group and test the alert. I will show how to define schedule based auto scaling for web app service and test the same
  • Lecture 6 :
  • Introduction to Operations Management Suite (OMS)
  • In this lecture, i will take you through system centre, Operations management suite and its key services
  • Lecture 7 :
  • Introduction to Log Analytics
  • In this lecture, i will take you through the details of log analytics in terms of data sources, types of data, storage, analytics and visualisation.
  • Lecture 8 :
  • Lab - Walkthrough of Log analytics in Azure and OMS portals
  • In this lecture, i will show you how to create log analytics using azure portal, take you through different functionality of log analytics in Azure portal. I will also take you through OMS portal and its features
  • Lecture 9 :
  • Lab - Setup of activity log analytics solution in Log analytics
  • In this lecture, i will show you how to install activity log analytics management solution in Log analytics and give you a walkthrough of the same
  • Lecture 10 :
  • Lab - Connect Azure virtual machine with log analytics solution
  • In this lecture, i will show you how to connect virtual machine with Log Analytics solution and define data sources using OMS portal
  • Lecture 11 :
  • Lab - Log searches, computer groups & dashboards design in Log analytics
  • In this lecture, i will show you how to do log searches,design dashboards & views and define computer groups using Log analytics
  • Lecture 12 :
  • Introduction to Application Insights
  • In this lecture, i will explain in detail about Application insights in terms of data sources, type of data collected, storage, analytics and visualisation of data.
  • Lecture 13 :
  • Lab - Walkthrough of Application insights features by connecting Azure API APP
  • In this lab, I will be creating a API app and show you how to enable application insights on API app. I will also take you through different features of Application insights such as monitoring live metrics, setting up availability tests, application map etc.
  • Lecture 14 :
  • Automation and Scheduler
  • Lecture 15 :
  • Optional Lab - Azure automation using runbook
  • In this Lab, I will create Azure Automation account and will take you through important features of Azure automation. I will import a runbook from runbook gallery and test the runbook to stop azure virtual machine.

Section 13 : Azure Tools

  • Lecture 1 :
  • Lab demo - Manage Azure resources using Azure PowerShell
  • Lecture 2 :
  • Lab demo - Introduction to ARM templates & deploy a VM using the same
  • Lecture 3 :
  • Lab demo - Microsoft Azure Storage explorer
  • Lecture 4 :
  • Lab demo - Microsoft Azure Storage Emulator
  • Lecture 5 :
  • Introduction to Azure REST APIs
  • Lecture 6 :
  • Lab demo - Fulfill REST APIs prerequisites
  • In this lecture, I will show you how to register application in Azure active directory, create a secret key and assign contributor role to the application.
  • Lecture 7 :
  • REST API Lab demo - Aquire access token using REST APIs
  • In this lecture, I will show you how to write a small piece of program to acquire access token using REST APIs.
  • Lecture 8 :
  • REST API Lab - Use access token to invoke REST API to get subscription detail
  • In this lab, i am going to extend the program which i have written in previous lab to securely invoke REST API to get subscription metadata
  • Lecture 9 :
  • REST API Lab - Calling Azure storage services REST API
  • In this lab, I am going to explain key difference between calling Azure RM REST API and Azure storage services REST API. I will also take you through the code that I have written to list the tables in a storage account using REST API

Varma - TOGAF Certified Enterprise Architect,

I have over 13 years of experience in defining the integrated process, application, data & cloud architectures for both corporate & large scale multi-million business transformation programmes. I have worked extensively in defining strategy for migration of on-premise applications into AWS & Azure Cloud IaaS, PaaS, SaaS platforms. I have designed & delivered complex industry wide integration standards. Carried out design for different machine to machine (M2M) and IoT scenarios. I have provided architectural & design governance for complex programmes I am TOGAF certified enterprise architect, PRINCE2 practitioner, and hold several certifications in SAP and cloud space.
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