Complete Real-time and Practical Azure DevOps Training with Real-time Scenarios. This Azure DevOps Training includes DevOps and Azure, and develop formidable skills in cloud architecture, Azure Resource Manager, Virtual Network Connectivity, Windows PowerShell, Azure administration, Git, Jenkins, Ansible, and Docker among others.
PLAN A | PLAN B | PLAN C | |
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Azure DevOps |
Azure DevOps Azure Data Engineer |
Azure DevOps Power BI, Azure Data Engineer |
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Total Duration | 4 Weeks | 10 Weeks | 14 Weeks |
Azure DevOps Benefits | ✔ | ✔ | ✔ |
SDLC, Dev & Operations, DevOps | ✔ | ✔ | ✔ |
DevOps Tools, Git & GitHub | ✔ | ✔ | ✔ |
Docker, Kubernetes, AzureDevOps | ✔ | ✔ | ✔ |
Azure Boards, Azure Repos | ✔ | ✔ | ✔ |
Azure Testing, Azure Artifacts | ✔ | ✔ | ✔ |
Azure Pipelines (CI, CD) | ✔ | ✔ | ✔ |
ADF : Azure Data Factory | ❌ | ✔ | ✔ |
ADF : Data Imports, ETL | ❌ | ✔ | ✔ |
ADF : Data Flows, Wrangling | ❌ | ✔ | ✔ |
ADF : Transformations, ETL | ❌ | ✔ | ✔ |
Synapse: Configuration, Loads | ❌ | ✔ | ✔ |
Synapse: ETL with ADF, DWH | ❌ | ✔ | ✔ |
Synapse: Performance Tuning | ❌ | ✔ | ✔ |
Synapse: MPP, cDWH, DIUs | ❌ | ✔ | ✔ |
ADB : Azure Data Bricks | ❌ | ✔ | ✔ |
ADB : Architecture, Data Loads | ❌ | ✔ | ✔ |
ADB : Run Spark Jobs, Pools | ❌ | ✔ | ✔ |
ADB : Workspace, Delta Tables | ❌ | ✔ | ✔ |
Cosmos : Configurations | ❌ | ✔ | ✔ |
Cosmos: Distribute Data, ETL | ❌ | ✔ | ✔ |
Cosmos: Integration with ADF | ❌ | ✔ | ✔ |
Cosmos: Structured Streaming | ❌ | ✔ | ✔ |
Power B: Report Design, Visuals | ❌ | ❌ | ✔ |
Power BI: M Lang, DX for ETL | ❌ | ❌ | ✔ |
Power BI: Report Server, Admin | ❌ | ❌ | ✔ |
Total Course Fee
* Payable in Installments |
INR 12,000 USD 163 |
INR 35,000 USD 473 |
INR 43,000 USD 582 |
Azure DevOps Training Schedules | ||||
S No | Timings (IST) | Start Date | ||
---|---|---|---|---|
Regular Schedules [Mon - Fri] | ||||
1 | 10 AM - 11 AM | Feb 15th | Register | |
2 | 5 PM - 6 PM | Feb 2nd | Register | |
Weekend Schedules [Sat & Sun] | ||||
3 | 6 AM - 8 AM | Jan 30th | Register | |
4 | 8 AM - 10 AM | Jan 23rd | Register |
If above schedule does not work, opt for Azure DevOps Training Videos
Azure DevOpsTraining Highlights :
✔ Azure Fundamentals | ✔ Azure AD |
✔ Azure DevOps | ✔ DevOps Benefits |
✔ DevOps Tools | ✔ DevOps Services |
✔ Azure Boards | ✔ Azure Repos |
✔ Azure Pipelines | ✔ Azure Testing |
✔ Azure Artifacts | ✔ DevOps Server |
✔ Git, Github | ✔ Docker |
All Session Are Completely Practical & Real Time
Module I: Azure Funda & DevOps Basics |
Module II: Azure DevOps Service - 1 |
Azure DevOps Service - 2
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Ch 1. Azure Fundamentals
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Ch 7: Organizations & Projects
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Ch 13: Azure Functions, App Service, Alerts
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Ch 2. Azure Services, Configurations
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Ch 8: Azure Boards
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Ch 14: Azure DevOps Resources in Portal
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Ch 3. Azure Active Directory, Monitoring
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Ch 9: Azure Repos
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Ch 15: Azure DevOps Strarter, App Insights
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Ch 4. SDLC, Dev & Operations, DevOps
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Ch 10: Azure Pipelines For CI/CD - 1
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Ch 16: Power Shell & Azure DevOps
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Ch 5. DevOps Tools, Git & GitHub
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Ch 11: Azure Pipelines For CI/CD - 2
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Ch 17: DevOps Server - Configurations
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Ch 6. Docker, Kubernetes, AzureDevOps
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Ch 12: Azure Testing & Artefacts
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Ch 18: DevOps Server & Visual Tools
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1. Azure Fundamentals: What is Cloud? Advantages of Azure Cloud? IaaS, SaaS & PaaS. Azure Data Engineer Technologies, Job Roles. DP 200, 201 Exams Azure Account Registration and Free Trail Activation; Understanding Azure Resources and Resource Types; Creating Resource Groups in Azure Portal; | ||
2. Azure SQL Server: Azure Resources; Resource Groups; Azure SQL Server [Logical Server] Creation; Server Name Format and Firewall Rules; Azure Services Access with Firewall; Test Connections with SSMS Tool and Azure Data Studio Tool; Creating Azure SQL Databases in Portal, T-SQL; Tables, Data Inserts; | ||
3. Azure SQL DB Migrations: Azure SQL DB Migrations from OnPremise; Using Data Migration Assistant Tool; Migration Assessments; Deploy Schema & Migrate Data Options; Onpremise Versus Azure SQL DB Differences; Generating bacpac Files From SSMS Tool; Azure SQL DB Exports & Imports; |
Mod 1: Azure Data Factory, Azure Synapse, Azure Data Share, Azure Key Vaults |
Mod 2: Azure Storage, Azure Data Lake Storage, Azure Data Lake Analytics, U-SQL |
Mod 3: Azure Databricks, Azure Cosmos DB, Azure Stream Analytics, NoSQL |
Ch 1: Azure Data Factory, Synapse Intro
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Ch 11: Azure Storage Concepts
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Ch 21: Azure Databricks Configurations
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Ch 2: Azure Synapse Architecture
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Ch 12: Azure Tables & Azure BLOB
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Ch 22: Databricks Notebooks, Spark Jobs
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Ch 3: Azure Data Factory Architecture
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Ch 13: Azure Files, Queues & Security
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Ch 23: Python Notebooks & Operations
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Ch 4: Azure Data Lake with ADF
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Ch 14: Azure Monitor, KQL, Power Shell
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Ch 24: Scala Notebooks, SQL Notebooks
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Ch 5: On-Premise Data to Azure
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Ch 15: Azure Stream Analytics, Event Hubs
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Ch 25: Databricks Jobs & Power BI
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Ch 6: Incremental Loads with ADF - 1
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Ch 16: Azure Data Lake Storage (ADLS)
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Ch 26: Azure Cosmos DB - Architecture
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Ch 7: Incremental Loads with ADF - 2
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Ch 17: ADLS Monitoring, Alerts
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Ch 27: Azure Cosmos DB Queries Level 1
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Ch 8: Mapping Data Flow in ADF
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Ch 18: Azure Key Vaults & ADL Analytics
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Ch 28: Azure Cosmos DB Queries Level 2
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Ch 9: Wrangling Data Flow in ADF
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Ch 19: Data Lake Analytics, U-SQL 1
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Ch 29: Azure Notebooks, Azure Functions
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Ch 10: ADF : End to End Implementation
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Ch 20: Data Lake Analytics, U-SQL 2
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Ch 30: Azure Cosmos Admin, Power BI
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Real-time Project @ Ecommerce Domain: Includes On-Premise Migrations with bac Files, Azure Storage Compoments, Azure Data Ingestions using Azure Data Factory; Big Data Storage with Azure Synapse and Azure Cosmos Database; Big Data Analytics using Azure Databricks and Azure Stream Analytics. This Real-time Project also includes End User Reporting with Power BI. Additionally includes Resume Support and DP 200, DP 201 Certification Guidance. |
Part 1: Power BI Report Design |
Part 2: ETL, Data Modeling, DAX |
Part 3: Power BI Cloud, Admin |
Ch 1 : POWER BI BASICS
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Ch 7 : POWER QUERY LEVEL 1
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Ch 13 : POWER BI CLOUD - 1
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Ch 2: BASIC REPORT DESIGN
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Ch 8 : POWER QUERY LEVEL 2
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Ch 14 : POWER BI CLOUD - 2
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Ch 3 : Visual Sync, Grouping
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Ch 9 : POWER QUERY LEVEL 3
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Ch 15 : EXCEL & RLS
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Ch 4 : Hierarchies, Filters
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Ch 10 : DAX Functions - Level 1
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Ch 16 : Report Server, RDL
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Ch 5 : Bookmarks, Azure, Modeling
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Ch 11 : DAX Functions - Level 2
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Ch 17: MSBI Integrations
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Ch 6 : Visualization Properties
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Ch 12 : DAX FUNCTIONS Level 3
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Ch 18 : REAL-TIME PROJECT
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