Microsoft Azure Cloud

Batch Size
24 hours
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Course Contents

Induction training for new hires to get them project-ready.

  1. Azure Fundamentals (AZ-900)
    1. Describe cloud concepts (25–30%)
      1. Cloud concepts
      2. Introduction to Azure fundamentals
      3. Discuss Azure fundamental concepts
      4. Implement Hybrid identity
    2. Azure architecture and services (35–40%)
      1. Core Azure services
      2. Core solutions and management tools on Azure
      3. Core Azure architectural components
      4. Explore Azure compute services
      5. Explore Azure networking services
      6. Explore Azure Storage services
      7. Secure access to your applications by using Azure identity services
      8. Protect against security threats on Azure
      9. Secure network connectivity on Azure
    3. Describe Azure management and governance (30–35%)
      1. Azure cost management and service level agreements
      2. Plan and manage your Azure costs
      3. Identity, governance, privacy, and compliance features
      4. Design an enterprise governance strategy
      5. Build a cloud governance strategy on Azure
      6. Choose the best monitoring service for visibility, insight, and outage mitigation
  2. Azure Data Fundamentals (DP-900)
    1. Describe core data concepts (25–30%)
      1. Describe ways to represent data
        1. describe features of structured data
        2. describe features of semi-structured
        3. describe features of unstructured data
      2. Identify options for data storage
        1. describe common formats for data files
        2. describe types of databases
      3. Describe common data workloads
        1. describe features of transactional workloads
        2. describe features of analytical workloads
      4. Identify roles and responsibilities for data workloads
        1. describe responsibilities for database administrators
        2. describe responsibilities for data engineers
        3. describe responsibilities for data analysts
    2. Identify considerations for relational data on Azure (20–25%)
      1. Describe relational concepts
        1. identify features of relational data
        2. describe normalization and why it is used
        3. identify common structured query language (SQL) statements
        4. identify common database objects
      2. Describe relational Azure data services
        1. describe the Azure SQL family of products including Azure SQL Database, Azure SQL
        2. managed Instance, and SQL Server on Azure Virtual Machines
        3. identify Azure database services for open-source database systems
    3. Describe considerations for working with non-relational data on Azure (15–20%)
      1. Describe capabilities of Azure storage
        1. describe Azure Blob storage
        2. describe Azure File storage
        3. describe Azure Table storage
      2. Describe capabilities and features of Azure Cosmos DB
        1. identify use cases for Azure Cosmos DB
        2. describe Azure Cosmos DB APIs
    4. Describe an analytics workload on Azure (25–30%)
      1. Describe common elements of a modern data warehouse
        1. describe considerations for data ingestion and processing
        2. describe options for analytical data stores
        3. describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory
      2. Describe consideration for real-time data analytics
        1. describe the difference between batch and streaming data
        2. describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streaming
      3. Describe data visualization in Microsoft Power BI
        1. identify capabilities of Power BI
        2. describe features of data models in Power BI
        3. identify appropriate visualizations for data

Live Project driven training.


  • Frequency: Fortnightly reporting
  • Module-specific and Overall assessment
  • Parameters: Tasks/Instructions given during the live sessions.

Computer Science education and coding knowledge.

Instructor Recommendation: Participants are recommended to apply for Certification on AZ/DP - 900  to add professional credentials to their portfolio.

Instructor Profile


Microsoft Certified Trainer, Microsoft Certified Azure Database Administrator (DP-300) with rich experience in troubleshooting business critical issues and infrastructure automation.

This course includes:

  • 100% Online Sessions
  • Instructor led
  • Customizable Syllabus
  • Customizable Schedule
  • Certificate of Completion
  • Training Recordings
  • Training Resources
  • Learner Assessment
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