Azure training

Azure training:

About The Course

The only consistent hybrid cloud operated by Microsoft to solve the challenges and bring new solutions that are cloud based is Azure. Azure helps the Microsoft to successfully manage the applications , build and also deploy services via a global network of datacenters. Based on the current market scenario , 80% of the business are moving their workload to cloud based technology which leads to massive use of Azure. Azure developers have huge career scope in the near future due to this. One can also take job based certifications .

Course Name

Azure training

Course duration

40-50 Hrs


Real time Expert


Live Classes

Azure Training Course:

  • Introduction to cloud computing
  • Why Cloud Computing?
  • Different Cloud Computing Models like SaaS, PaaS and Iaas
  • Understanding Hybrid Cloud
  • How is azure a leader in the cloud market?
  • Importance of Data Warehouse, ETL and Analytics with cloud
  • What is Microsoft Azure Data Factory?
  • Overview of its workflow and different services in it

  • Intro to non-relational data stores
  • Intro to Cosmos DB, Data Lake Storage and Blob Storage
  • Why Cosmos DB?
  • Working with Cosmos DB
  • Implement a solution that uses Cosmos DB
  • Why Data Lake?
  • Working with Data Lake
  • Implement a solution that uses Data Lake Storage Gen2
  • Why Blob Storage?
  • Working with Blob Storage
  • Implement a solution that uses Blob storage
  • Implement data distribution and partitions
  • Implement a consistency model in Cosmos DB
  • Provision a non-relational data store
  • Provide access to data to meet security requirements
  • Understanding High Availability, disaster recovery and global distribution
  • Implement for high availability, disaster recovery, and global distribution

  • Intro to relational database and data stores
  • Understand elastic pools in a data store
  • Configuring elastic pools
  • Configuring geo-replication
  • Provide access to data for meeting the security requirements
  • Implement for high availability, disaster recovery, and global distribution in relational data stores
  • What is Azure Synapse Analytics and why is it important?
  • Implement data distribution and partitions for Azure Synapse Analytics
  • Understanding the relevance of PolyBase
  • Implement PolyBase

  • Understand the data masking
  • Implement data masking
  • Encrypt data at rest and in motion

  • What is Azure Databricks?
  • What is Azure Data Factory?
  • Why Azure Databricks?
  • Why Azure Data Factory?
  • Develop batch processing solutions by using Data Factory and Azure Databricks
  • Understanding the concept behind data ingestion
  • What is PolyBase?
  • Understanding the workflow of PolyBase
  • Ingest data by using PolyBase
  • Implement the integration runtime for Data Factory
  • Implement Copy Activity within Azure Data Factory
  • Create linked services and datasets
  • Create pipelines and activities in Data Factory
  • Implement Mapping Data Flows in Azure Data Factory
  • Create and schedule triggers in Azure Data Factory
  • Implement Azure Databricks clusters, notebooks, jobs, and autoscaling
  • Ingest data into Azure Databricks
  • Creating the whole data lifecycle in Azure Data Factory

  • What is Azure Stream Analytics?
  • Why Azure Stream Analytics?
  • Configure input and output
  • Select the appropriate windowing functions
  • Implement event processing by using Stream Analytics

  • Monitoring in Azure Data Factory
  • What is Azure Monitor?
  • Why use Azure Monitor?
  • Understanding Azure Log Analytics
  • Why Azure Log Analytics?
  • Implement monitoring in Blob Storage
  • Implement monitoring in Data Lake Storage
  • Implement monitoring in SQL Database
  • Implement monitoring in Azure Synapse Analytics
  • Implement monitoring in Cosmos DB
  • Configuring alerts in Azure Monitor
  • Implement auditing by using Azure Log Analytics

  • Monitoring Data Factory pipelines
  • Monitoring Azure Databricks
  • Monitoring Stream Analytics
  • Configuring alerts in Azure Monitor in the data processing
  • Implement auditing by using Azure Log Analytics in the data processing

  • Troubleshoot data partitioning bottlenecks
  • Optimize Data Lake Storage
  • Optimize Stream Analytics
  • Optimize Azure Synapse Analytics
  • Optimize SQL Database
  • Manage the data lifecycle


One can secure job as an developer , AI engineer , security engineer , DevOps engineer and cloud administrator. You can work in various industries irrelevant of the locations by getting this certification.

After receiving the certification, it’s upto an individual whether to become an data engineer or a cloud administrator or a solution architect etc. Annual salary of an Azure Cloud engineer is around 6 lpa.

The job role doesn’t necessarily require experienced candidates hence even freshers can apply for the job as an Azure Architect. Microsoft Azure has vast scope.

IT Tuitions offers you classroom and online training modes. Based on your requirement you may opt which training mode you wish to take. We also have expertise in corporate training.

Here we are providing “Azure online training in Hyderabad”,Azure class room training in Hyderabad, “Azure corporate training in India”, Azure Class Room Training in Madhapur, Azure Online Training in Madhapur,In India Online services providing in top cities like Banglore,Chennai,Pune, Mumbai , Delhi, Etc,