Course Introduction
Watch this video to checkout the details and the benefits you get from this training.
Start your career in Microsoft Azure (AZ900, DP900, and DP203)
The Comprehensive Microsoft Azure Training Program offers a comprehensive curriculum designed to provide participants with a solid foundation in Microsoft Azure. This program covers three essential Azure certifications: AZ900, D900, and DP203. Participants will gain a deep understanding of Azure fundamentals, best practices, and advanced concepts, equipping them with the knowledge and skills needed to become proficient Azure professionals.
You will learn to,
- Understand the core concepts of Azure and cloud computing.
- Optimize Azure deployments for enhanced performance, scalability, and reliability.
- Design and implement disaster recovery strategies in Azure.
-
Implement best practices for securing Azure resources.
Meet Your Instructor
Experience and Expertise: Over 20 years of experience in Microsoft Azure, Cloud Computing, Data Engineering, and AI, with strong expertise in Azure IaaS, PaaS, SaaS, Azure OpenAI, and enterprise cloud solutions.
Global Training Experience: Delivered extensive Azure training programs (AZ900, DP900, DP203, and advanced tracks) for global organizations, enabling teams to build cloud, data, and AI solutions.
Corporate Clientele: Worked with leading global organizations including Microsoft, Accenture, Deloitte, IBM, TCS, Optum, and others, delivering enterprise cloud and data platform training.
Certifications: Microsoft Certified Azure Solutions Architect Expert; Azure Data Engineer Associate; Azure Administrator Associate; Azure Developer Associate; DevOps Engineer Expert; Azure AI Engineer Associate; Azure Data Scientist Associate; Microsoft Certified Trainer (MCT).
Diverse Technical Skills: Proficient in Microsoft Azure, Azure Data Engineering, Azure DevOps, Azure OpenAI, Microsoft Fabric, AI and Cognitive Services, IoT, ASP.NET, and enterprise cloud architecture.
Training Methodology: Uses a hands-on, scenario-based approach focused on real-world cloud, data engineering, and AI use cases aligned with Azure certification paths.
Project Leadership: Delivered large-scale Azure cloud transformation, data engineering, and AI initiatives, enabling scalable, secure, and high-performance enterprise solutions.
Course Curriculum
- Session Video - AZ900 Azure Fundamentals - Cloud Concepts (196:24)
- Session Video - DP900 Azure DATA Fundamental (182:16)
- Session Video - DP900 - Fundamentals of Data Analytics (185:21)
- Session Video - DP203 - Azure Data Engineering - Azure Synapsis Analytics Serverless SQL Pools (165:47)
- Session Video - DP203 Azure Data Engineering - Azure Synapsis Apache Spark Pools (127:51)
- Session Video - DP203 Azure Data Engineering - Data Warehouses using Azure Synapse Analytics (268:02)
- Session Video - DP203 Azure Data Engineering - HTAP Solutions using Azure Synapse Analytics (221:49)
- Session Video - DP203 Azure Data Engineering with Azure Databricks (210:40)
- Assessment - 1. Describe cloud computing
- Assessment - 2. Describe the benefits of using cloud services
- Assessment - 3. Describe Infrastructure as a Service
- Assessment - 4. Describe the core architectural components of Azure
- Assessment - 5. Describe Azure compute and networking services
- Assessment - 6. Describe Azure storage services
- Assessment - 7. Describe Azure identity, access, and security
- Assessment - 8. Describe cost management in Azure
- Assessment - 9. Describe features and tools in Azure for governance and compliance
- Assessment - 10. Describe features and tools for managing and deploying Azure resources
- Assessment - 11. Describe monitoring tools in Azure
- Assessment - 1. Get started with data engineering on Azure
- Assessment - 2. Build data analytics solutions using Azure Synapse Analytics serverless SQL pools
- Assessment - 3. Build data analytics solutions using
- Assessment - 4. Perform data engineering with Azure Synapse Apache Spark Pools
- Assessment - 5. Work with data warehouses using Azure Synapse Analytics
- Assessment - 6. Transfer and transform data with Azure Synapse Analytics Pipelines
- Assessment - 7. Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure
- Assessment - 8. Implement a data streaming solution with Azure Stream Analytics
- Assessment - 9. Govern data across an enterprise
- Assessment - 10. Data engineering with Azure Databricks
- Assignment - 1. Describe cloud computing
- Assignment - 2. Describe the benefits of using cloud services
- Assignment - 3. Describe Infrastructure as a Service
- Assignment - 4. Describe the core architectural components of Azure
- Assignment - 5. Describe Azure compute and networking services
- Assignment - 6. Describe Azure storage services
- Assignment - 7. Describe Azure identity, access, and security
- Assignment - 8. Describe cost management in Azure
- Assignment - 9. Describe features and tools in Azure for governance and compliance
- Assignment - 10. Describe features and tools for managing and deploying Azure resources
- Assignment - 11. Describe monitoring tools in Azure
- Assignment - 1. Get started with data engineering on Azure
- Assignment - 2. Build data analytics solutions using Azure Synapse Analytics serverless SQL pools
- Assignment - 3. Perform data engineering with Azure Synapse Apache Spark Pools
- Assignment - 4. Work with data warehouses using Azure Synapse Analytics
- Assignment - 5. Transfer and transform data with Azure Synapse Analytics Pipelines
- Assignment - 6. Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure
- Assignment - 7. Implement a data streaming solution with Azure Stream Analytics
- Assignment - 8. Govern data across an enterprise
- Assignment - 9. Data engineering with Azure Databricks
- Lab Activity - 1. Explore compute and storage options for data engineering workloads
- Lab Activity - 2. Querying a Data Lake Store using serverless SQL pools in Azure Synapse Analytics
- Lab Activity - 3. Securing access to data through using a serverless SQL pool in Azure Synapse Analytics
- Lab Activity - 4. Create a new dedicated SQL pool and run setup script
- Lab Activity - 5. Perform Data Exploration in Synapse Studio
- Lab Activity - 6. Ingesting data with Spark notebooks in Azure Synapse Analytics
- Lab Activity - 7. Transforming data with DataFrames in Spark pools in Azure Synapse Analytics
- Lab Activity - 8. Integrating SQL and Spark pools in Azure Synapse Analytics
- Lab Activity - 9. Cleanup
- Lab Activity - 10. Working with DataFrames
- Lab Activity - 11. Working with DataFrames advanced methods
- Lab Activity - 12. Start the dedicated SQL pool
- Lab Activity - 13. Code-free transformation at scale with Azure Synapse Pipelines
- Lab Activity - 14. Orchestrate data movement and transformation in Azure Synapse Pipelines
- Lab Activity - 15. Linked service and datasets
- Lab Activity - 16. Create mapping data flow and pipeline
- Lab Activity - 17. Create Synapse Spark notebook to find top products
- Lab Activity - 18 . Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
- Lab Activity - 19. End-to-end security with Azure Synapse Analytics
- Lab Activity - 20. Lab Environment Setup
- Lab Activity - 21. Build reports using Power BI integration with Azure Synapse Analytics
- Lab Activity - 22. Create a stream processing solution with Event Hubs and Azure Databricks
- Assessment - AZ900 Azure Fundamentals - Cloud Concepts
- Assessment - DP900 Azure DATA Fundamental
- Assessment - DP900 - Fundamentals of Data Analytics
- Assessment - Azure Data Engineering - Azure Synapsis Analytics Server less SQL Poo
- Assessment - DP203 Azure Data Engineering - Azure Synapsis Apache Spark Pools
- Assessment - DP203 Azure Data Engineering - Data Warehouses using Azure Synapse
- Assessment - DP203 Azure Data Engineering - HTAP Solutions using Azure Synapse
- Assessment - DP203 Azure Data Engineering with Azure Data bricks
- Assignment - AZ900 Azure Fundamentals - Cloud Concepts
- Assignment - DP900 Azure DATA Fundamental
- Assignment - DP900 - Fundamentals of Data Analytics
- Assignment - DP203 - Azure Data Engineering - Azure Synapsis Analytics Server less SQL Poo-1-
- Assignment - DP203 Azure Data Engineering - Azure Synapsis Apache Spark Pools
- Assignment - DP203 Azure Data Engineering - Data Warehouses using Azure Synapse Analytics
- Assignment - DP203 Azure Data Engineering - HTAP Solutions using Azure Synapse Analytics
- Assignment - DP203 Azure Data Engineering with Azure Data bricks
- Assessment - Describe Azure Compute and Networking Services
- Assessment - Describe Azure Identity, Access, and Security
- Assessment - Describe Azure Storage Services
- Assessment - Describe Cloud Computing
- Assessment - Describe Cloud Service Types
- Assessment - Describe cost management in Azure
- Assessment - Describe Features and Tools for Managing and Deploying Azure Resources
- Assessment - Describe Features and Tools in Azure for Governance and Compliance
- Assessment - Describe Monitoring Tools in Azure
- Assessment - Describe the Benefits of using Cloud Services
- Assessment - Describe the Core Architectural Components of Azure
- Assessment - Data Engineering with Azure Databricks
- Assessment - Build Data Analytics Solutions using Azure Synapse Analytics Serverless SQL Pools
- Assessment - Get Started with Data Engineering on Azure
- Assessment - Govern Data Across an Enterprise
- Assessment - Implement a Data Streaming Solution with Azure Stream Analytics
- Assessment - Perform Data Engineering with Azure Synapse Apache Spark Pools
- Assessment - Transfer and Transform Data with Azure Synapse Analytics Pipelines
- Assessment - Work with Data Warehouses using Azure Synapse Analytics
- Assessment - Work with Hybrid Transactional and Analytical Processing (HTAP) Solutions using Azure Synapse Analytics
- Assignment - Get started with data engineering on Azure Get started with data engineeri
- Assignment - Build data analytics solutions using Azure Synapse Analytics server less S
- Assignment - Work with data warehouses using Azure Synapse Analytics
- Assignment - Transfer and transform data with Azure Synapse Analytics Pipelines
- Assignment - Transfer and transform data with Azure Synapse Analytics Pipelines
- Assignment - Work with hybrid transactional and analytical processing (HTAP) Solutions
- Assignment - Implement a data streaming solution with Azure Stream Analytics
- Assignment - Govern data across an enterprise
- Assignment - Data engineering with Azure Data bricks
- Lab Activity - Compare Workload Costs using the TCO Calculator
- Lab Activity - Describe Azure Compute and Networking Services
- Lab Activity - Describe Azure Identity, Access, and Security
- Lab Activity - Describe Azure Storage Services
- Lab Activity - Describe Cloud Computing
- Lab Activity - Describe Cloud Service Types
- Lab Activity - Describe Features and Tools for Managing and Deploying Azure Resources
- Lab Activity - Describe Features and Tools in Azure for Governance and Compliance
- Lab Activity - Describe Monitoring Tools in Azure
- Lab Activity - Describe the Benefits of using Cloud Services
- Lab Activity - Describe the Core Architectural Components of Azure
- Lab Activity - Estimate Workload Costs by using the Pricing Calculator
- Lab Activity - Analyze Data in a Data Lake with Spark Suggested
- Lab Activity - Analyze Data in a Lake Database Suggested
- Lab Activity - Build a Data Pipeline in Azure Synapse Analytics
- Lab Activity - Create a Realtime Report with Azure Stream Analytics and Microsoft Power BI
- Lab Activity - Explore a Relational Data Warehouse
- Lab Activity - Explore Azure Databricks
- Lab Activity - Explore Azure Synapse Analytics
- Lab Activity - Get started with Azure Stream Analytics
- Lab Activity - Ingest Realtime Data with Azure Stream Analytics and Azure Synapse Analytics
- Lab Activity - Load Data into a Relational Data Warehouse
- Lab Activity - Query Files using a Serverless SQL Pool
- Lab Activity - Transform Data using a Serverless SQL Pool
- Lab Activity - Transform Data using Spark in Synapse Analytics
- Lab Activity - Use a SQL Warehouse in Azure Databricks
- Lab Activity - Use an Apache Spark Notebook in a Pipeline
- Lab Activity - Use Azure Synapse Link for Azure Cosmos DB
- Lab Activity - Use Azure Synapse Link for SQL
- Lab Activity - Use Delta Lake in Azure Databricks
- Lab Activity - Use Delta Lake in Azure Synapse Analytics
- Lab Activity - Use Microsoft Purview with Azure Synapse Analytics
- Lab Activity - Use Spark in Azure Databricks
- Capstone Project - 1. Central Finance and Real-Time Group Reporting
- Capstone Project - 2. Global Financial Close and Consolidation
- Capstone Project - 3. Product Costing and Profitability Analysis
- Capstone Project - 4. Project-Based Services Accounting
- Capstone Project - 5. Real-Time Cash Management and Treasury Analytics
- Sample Resume - Fresher Profile - Microsoft Azure (AZ-900, DP-900, DP-203) Consultant (0-1 years experience))
- Sample Resume - Mid-Level - Microsoft Azure (AZ-900, DP-900, DP-203) Consultant (2-5 Years Experience)
- Sample Resume - Experienced Microsoft Azure (AZ-900, DP-900, DP-203) Consultant (5+ Years Experience)