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#Azure DevOps

Azure DevOps is a dynamic job role that focuses on uniting Development and Operations using Microsoft’s Azure cloud platform. This role involves continuous integration, continuous delivery (CI/CD), automation, monitoring, and collaboration to streamline software delivery.

✅ Azure Repos, Version Control
✅ Azure Pipelines – CI/CD
✅ ARM Templates & Terraform
✅ Sprint & Git with Automations
✅ Package Dependencies
✅ Jenkins & Containers Usage
✅ Monitoring, RBAC For Security
✅ Build, Release Automation
✅ AZ 400 Exam Guidance
✅ 1:1 Mentorship, Resume

Azure DevOps Training banner highlighting job roles such as DevOps Engineer, Release Manager, Cloud Engineer (Azure), and Automation Engineer, with icons of pipelines, AI, and Microsoft certification badges, alongside top IT company logos.

Azure DevOps
Training Course Contents:

Module 1 : Microsoft SQL (TSQL)

Ch 1: SQL SERVER INTRODUCTION

  • Database Introduction
  •  Types of Databases
  •  Need for & ETL, DWH
  •  BI Implementations
  •  SQL Server Advantages
  •  Version, Editions of MSSQL
  •  Data Analyst Job Roles

Ch 2: SQL SERVER INSTALLATIONS

  • SQL Server 2019, 2017
  • SSMS Tools Installation
  • Database Engine (OLTP)
  • SCM, Configuration Tools
  • Instance Types, Uses
  • Authentication Modes
  • Collation, File Stream

Ch 3: SQL BASICS – 1

  • Need for Databases, Tables
  • Need for SQL Commands
  • DDL, DML & DQL Statements
  • Database Creation @ GUI
  • Data Operations @ GUI
  • Session ID, SQL Context
  • DB, Tables, Data @ SQL

Ch 4: SQL BASICS – 2

  • DDL Variants in MSSQL
  • DML Variants in MSSQL
  • INSERT & INSERT INTO
  • SELECT & SELECT INTO
  • Basic Operators in SQL
  • Special Operators in MSSQL
  • ALTER, ADD, TRUNCATE, DROP

Ch 5: Data Imports, Schemas

  • Data Imports with Excel
  •  ORDER BY & UNION
  • UNION ALL For Sorting Data
  •  Creating, Using Schemas
  •  Real-world Banking Database
  •  Table Migrations @ Schemas
  •  2 Part, 3 Part & 4 Part Naming

Ch 6 : Constraints, Index Basics

  • Need for Constraints, Keys
  •  NULL, NOT NULL, UNIQUE
  •  Primary Key & Foreign Key
  •  RDBMS and ER Models
  •  Identity Property, Default
  •  Clustered Index, Primary Key
  •  Non Clustered Index, Unique

Ch 7: Joins & Views Basics

  • JOINS: Purpose. Inner Joins
  • Left / Right / Full Outer Joins
  • Cross Joins, Query Tuning
  • Creating & Using Views
  • DML, SELECT with Views
  • RLS : WITH CHECK OPTION
  • System Views & Metadata

Ch 8: Functions(UDF), Data Types

  • Using Functions in MSSQL
  •  Scalar Value Functions
  • Inline & Multiline Functions
  • Date & Time Functions
  • String, Aggregate Functions
  • Data Types : Integer, Char, Bit
  • SQL Variant, Timestamp, Date

Ch 9: Stored Procedures,Models

  • Stored Procedures & Usage
  • Creating, Testing Procedures
  • Encryption, Deferred Names
  • SPs for Validations, Analysis
  • System SPs, Recompilation
  • Normal Forms & Types
  • Data Models, Self-References

Ch 10: Triggers, Temp Tables

  • Need for Triggers
  • DDL & DML Triggers
  • Using Memory Tables
  • Data Replication, Automation
  • Local & Global Temp Tables
  • Testing & Using Temp Tables
  • SELECT .. INTO & Bulk Loads

Ch 11: DB Architecture, Locks

  • Planning VLDBs : Files, Sizing
  • Filegroups, Extents & Types
  • Log Files : VLF, Mini LSN
  •  Table Location, Performance
  • Schemas, Transfer, Synonyms
  • Transactions Types, Lock Hint
  •  Query Blocking Scenarios

Ch 12 : Cursors & CTEs, Links

  • Cursors : Realtime Use
  • Fetch & Access Cursor Rows
  • CTEs for SELECT, DML
  • CTEs: Scenarios & Tuning
  • Linked Servers, Remote Joins
  • Linked Servers: MSDTC, RPC
  • Tuning Remote Queries

Ch 13: Merge, Upsert & Rank

  • Need for Merge in ETL
  • Incremental Loads with SQL
  • MERGE and RANK Functions
  • Window Functions, Partition
  • Identify, Remove Duplicates

Ch 14: Grouping & Cube

  • Group By & HAVING
  • Cube, Rollup & Grouping
  • Joins with Group By
  • 3 Table, 4 Table Joins
  • Query Execution Order

Ch 15: Self Joins, Excel Analysis

  • Self Joins & Self References
  •  UNION, UNION ALL
  •  Sub Queries with Joins
  •  IIF, CASE, EXISTS Statements
  •  Excel Analytics, Pivot Reports

Module 2: Azure Devops

Azure Funda & DevOps Basics

Ch 1. Azure DevOps Introduction

  • DevOps : Introduction and Usage
  • Software Development Life Cycle
  • Analysis, Design and Implementation
  • Testing, Deployment & Maintenance
  • Advantages of SDLC inSoftware
  • SDLC Implementation Techniques
  • Waterfall Method & Advantages
  • Agile Software Development Method
  • Need for DevOps Implementations
  • Need for Azure DevOps Implmentation
  • Azure DevOps : Phases, LifeCycle
  • Continious Integration and Testing
  • Continious Deployment, Monitoring

Ch 2. Azure DevOps Org & Security

  • Azure Account Registartion & Logins
  • Azure Account Operations in Portal
  • DevOps Organization Creation
  • Organization Layout, Unique Names
  • Organization Entities: Projects, Users
  • Billing, Auditting, Notifications, Usage
  • Azure Active Directory Concepts
  • Azure AD Users : Creation & Use
  • Azure AD Groups : Creation & Use
  • AAD Concepts with Azure DevOps
  • Security Operations with Azure AD
  • Linking Azure AD Users to DevOps
  • Tenant Creation and Real-time Use

Ch 3. Azure DevOps Projects, Boards

  • Azure DevOps Organizations, Projects
  • Azure DevOps Projects: Entities
  • Teams, Boards, Repos, Pipelines
  • Test Plans and Artifacts in Projects
  • Work Item: Tasks, Bugs & Test Cases
  • Azure DevOps Work Item Types (WIT)
  • Overview of Basic and Agile WIT
  • Overview of CMMI and SCRUM
  • Inherited Proces, Version Controls
  • Project Creation and Project Types
  • Azure DevOps Project Creation, Security
  • Project Level Operations, Azure Boards
  • Basic Vocabulary: Items, Epic, Issue

Ch 4. Basic Work Item, Azure Boads

  • Work Item Concept: Basic WIT
  • Epics, Issues and Tasks in WIT
  • Organizing and Tracking WIT
  • ToDo, Doing and Done Tasks
  • Backlog Process: Started / Compelted
  • Epic Creation and Properties
  • Issue Creation and Properties
  • Kanban Boards and WIT Reports
  • Epic and Issue Verifications
  • Assigned To, Priority and State
  • Layout Changes in Azure DevOps
  • Task Completion, State History
  • Activity Checks, Links, Attachments

Ch 5: Azure Boards: Backlogs, Sprints

  • Backlogs and Sprints in Basic Type
  • Product Backlog & Sprint Backlog
  • Create Work Item : Epic & Issue
  • Backlogs: Creation, Title, Assign To
  • Setting Priority and Add Task
  • Add Issue, New Work Items
  • User Stories and Effort Estimate
  • Azure Boards: Queries and Audits
  • Listing Items and Work Reviews
  • Triage and Charts (Dashboards)
  • Parent – Child Related Work Items
  • Assigned To Me and Followed By

Ch 6: Work Item : Agile Process

  • Agile Work Item Process Usage
  • Epic, Feature, User Story, Task
  • Bug and Work Item Levels
  • Portfolio Level, Backlog Level
  • Issue and Bug Level in Agile
  • Feature, User Story and Tasks
  • Adding Users to Backlogs, Tests
  • Backlogs, Tests, Test Plans in Agile
  • Test Suite and Test Cases in Agile
  • Agile Work Flow and Glossary
  • Work Item Status in Agile: New
  • Active, Closed and Resolved Status

Azure DevOps Service – 1

Ch 7: CMMI Process and Workflow

  • Azure Boards with CMMI Process
  • Analysis, Design, Implemention Phases
  • Testing & Support Phases in CMMI
  • Work Item Types: Epic, Bug, Feature
  • Change Request, Issue, Requirement
  • Tasks, Reviews, Risk and Test Cases
  • Work Item field index page
  • Activity, Triage, Committed, Blocked
  • Subject Matter Expert (SME), Tasks
  • State, Triage and Commtted Fields
  • Assigned To, User Acceptance Tests
  • Origina Estimate, Time Criticality

Ch 8: Scrum Work Item Process

  • Scrum Work Item Process, Usage
  • Epics, Backlogs, Bugs and Tasks
  • Approve, Commit, Work Status
  • Work Completed / Work Stopped
  • Move / Remove Backlog Items
  • Task Level Work Items in DevOps
  • PBI and Bugs in Scrum Process
  • Tracking Impediments, Hierarchy
  • Implementing Scrum Process Item
  • Assigning, Securing Scrum Items
  • Limitations with Scrum Process
  • Comparing Work Item Process

Ch 9: Inherited Work Item Process

  • Limitations with System Processes
  • Need for Inherited Work Items
  • Creating and Using Inherited Items
  • Creating New Projects and Items
  • Default Process and Clone Options
  • Security Roles: Administrator
  • Delete and Edit Process Roles
  • Creating Organizations & Projects
  • Creating New Work Items & Epics
  • Descriptions, Groups and Fields
  • Layouts and Options with Items
  • Removing WIT, Project & Org

Ch 10: Kanban Boards, Customization

  • Kanban Boards for Process Reports
  • Cards : Epic / Issue Status Tracking
  • Backlog, Active, Resolved, Closed
  • Define Work Items and Tracking
  • Product & Portfolio Kanban boards
  • Swimlanes: Creation and Usage
  • Work-in-Progress (WIP) Limits
  • Work in Progress Limits & Usage
  • Highlight Cards, Define Style Rules
  • Customizing Kanban Boards
  • Customize Fields & Styles in Kanban
  • Splits, Tags, Card Order, Burn Down

Ch 11: Azure Repos, Version Control, Git

  • Version Control Systems (VCS)
  • Create workflows, Work with versions
  • Code together, Version Synchronize
  • Team Foundation Version Control
  • GIT : A Distributed System & use
  • Work Stations and Remote Repos
  • Git Installation, Repos, git init, git add
  • git commit, git status, git config
  • git branch, git checkout, git merge
  • git remote, git clone, git push
  • git push, git stash, git log, git rm
  • Remote Repos (GitHub & Bitbucket)

Ch 12: Azure Repos and Branching

  • Azure Repos : Configurations, Usage
  • Azure git Inititalization, Limitations
  • Need for Tortoise Git, Advantages
  • git add –all command and Options
  • git commit -m, git push, git add
  • git pull and Merging / Branching
  • Tortoise Git: Installation, Usage
  • Cloning with Tortoise git, Uploads
  • Azure Repos: Branching Concept
  • git branch and changesets in VCS
  • Branching: Features & Advantages
  • git branch, git checkout Operations

Azure DevOps Service – 2 Azure DevOps Server

Ch 13: Visual Studio with Azure Repos

  • Using Visual Studio for Azure Repos
  • Version Control with Visual Studio
  • Team Explorer and Cloning Options
  • Git Changes, Branching & Merging
  • Synchronization with Azure Repos
  • Push / Pull and Commit Options
  • Azure Pipelines and Real-time Use
  • Version Controls & Deployments
  • Azure Pipeline Process, Monitoring
  • Azure Pipelie Advantages, Pricing
  • CI & CD Pipelines, CI/CD Tools
  • Azure Pipeline Types & Targets

Ch 14: Continous Integration (CI)

  • Continous Integration (CI) & Builds
  • Build Pipelines in Azure DevOps
  • Local Development and Builds
  • Git Version Controls / Visual Studio
  • Azure DevOps Service, Azure Repo
  • Working with CI Pipelines in Realtime
  • Azure SQL Database Projects
  • DACPAC Files : Creation and Tests
  • Visual Studio Builds and Locations
  • Git Configuration and Commits
  • Continious Integration Options
  • Running CI Pipelines in Azure DevOps

Ch 15: Release Pipelines in Azure DevOps

  • Release Pipelines : Creation, Usage
  • Continous Delivery and Deployments
  • Pre-Production and Production Stages
  • Working of Release Pipelies in Azure
  • Pre Deployment, Queue and Agents
  • Artifacts and Run Deployment Tasks
  • Release Pipelines and Jobs in Azure
  • Cloud Deployments in Real-time
  • SQL Database Deployments in Azure
  • Creating Releases, Linking Artifacts
  • Creating Jobs and Execution Context
  • Post Deployment & Script Verification

Ch 16: Azure and Power BI Pipelines

  • DevOps Pipelines for Azure Resources
  • Creating Classic Model Pipelines
  • Creating New Jobs and Steps
  • Creating Resource Groups, Parameters
  • Data Factory Operations & Pipelines
  • Commenting and Running Pipelines
  • LIVE Metrics and Log Reports (RAW)
  • Power BI with Azure DevOps
  • Power BI Parameters, Azure Pipelines
  • Pipeline Runs in Dev, Test and Prod
  • Query Caching, Document CS, Actions
  • Builds, Artifact Stating Directories

Ch 17: Containers in Azure DevOps

  • Containerization Concepts, Uses
  • Comparing VMs and Containers
  • Advantages of Containers over VM
  • Prepacked Entities and Dockers
  • Security Advantages with Containers
  • Using Containers in Azure DevOps
  • Azure Containers & Kubernetes
  • Dev and Test Environments
  • Docker Hub and App Installations
  • Docker Container Engine and Use
  • Docker Architecture, Docker Daemons
  • Docker Containers & Registries Usage

Ch 18: DevOps Server – Configurations

  • Azure DevOps Server – Advantages
  • On-Premise Configurations for Server
  • Code Share, Track Work and Shipping
  • Visual Studio Team Fundation Server
  • Azure DevOps Server – Installation
  • Criterion for Azure DevOps Server
  • SQL Server Installation for DevOps
  • Database Engine, FullText Search
  • Creating Projects in DevOps Server
  • Creating Work Items and Processes
  • Work Item Tracking and Reports
  • Real-time Usage with DevOps Server

Module 3: Power BI

Ch 1 : Power BI Introduction

  • Reporting Basics & Types
  • Interactive,Analytical Reports
  • Paginated Reports (RDL)
  • Power BI Eco System
  • Power BI Tools,Service,Server
  • Need for Power Query (M)
  • Need for DAX & Cloud

Ch 2: Power BI Basic Reports

  • Power BI Desktop Installation
  • Basic Report Design (PBIX)
  • Data View, Data Models
  • Data Points, Aggregations
  • Focus Mode, Spotlight, Exports
  • ToolTip, PBIX and PBIT
  • Visual Interactions & Edits

Ch 3 : Grouping, Hierarchies

  • Creating Groups in Power BI
  • Groups : Creation & Usage
  • Group Edits Options
  • Bins & Bin Size, Bin Count
  • Hierarchies: Creation, Use
  • Drill Down, Drill Up
  • Conditional Drill Down

Ch 4 : Visual Sync, Filters

  • Slicer & Single Select
  • Multi Select Options
  • Integer, Character Slicers
  • Visual Sync with Slicers
  • Filters: Visual, Page, Report
  • Drill Thru Filters & Usage
  • Basic, Top & Advanced
  • Clear Filter Options, Resets

Ch 5 : Bookmarks, Big Data

  • Bookmarks Creation & Usage
  • Visual Interactions, Bookmarks
  • Images : Actions, Bookmarks
  • Big Data Access with Power BI
  • Storage Modes: Direct Query
  • Import & Performance Impact
  • Formatting & Data Refresh
  • Summary, Date Time Formats

Ch 6 : Power BI Visualizations

  • Chart and Bar Visuals
  • Line and Area Charts
  • Maps, TreeMaps, HeatMaps
  • Funnel, Card, Multrow Card
  • PieCharts & Settings
  • Waterfall, Sentiment Colors
  • Scatter Chart, Play Axis
  • Infographics, Classifications

Ch 7 : Power Query Level 1

  • Power Query (Mashup)
  • ETL Transformations in PBI
  • Power Query Expressions
  • Table Combine Options
  • Merge, Union All Options
  • Table Transformations

Ch 8 : POWER QUERY LEVEL 2

  • Any Column Transformations
  • String / Text Transformations
  • Numeric Analytics & Mashup
  • Date Time Transformations
  • Add Column Transformations
  • Expressions and New Columns

Ch 9 : POWER QUERY LEVEL 3

  • Parameters in Power Query
  • Static Parameters, Defaults
  • Dynamic Dropdowns, Lists
  • Linking with Table Queries
  • Column From Examples
  • Step Edits, Type Conversions

Ch 10 : Power BI Cloud – 1

  • Power BI Cloud Concepts
  • Workspace Creation, Usag
  • Report Publish & Edits
  • Semantic Models in Realtime
  • Dashboard Creation, Usage
  • Clone, Share, Subscribe
  • Q&A, Lineage, Settings

Ch 11 : Power BI Cloud – 2

  • Data Gateways, Data Refresh
  • Data Source Configurations
  • Data Refresh & Scheduling
  • Gateway Optimizations
  • Semantic Model Optimizations
  • Report Optimizations
  • Dashboard Optimizations

Ch 12 : Power BI Cloud – 3

  • Power BI Apps, Shares
  • App Sections & Options
  • App Updates, Security
  • Excel Analytics
  • Data Explorer Option
  • Sharing, Subscriptions
  • Alerts, Metrics, Insights

Ch 13 : Report Server & DAX

  • Power BI Report Server
  • Report Database, TempDB
  • Web Service & Server URL
  • Paginated Reports (RDL)
  • Report Builder Tool Usage
  • DAX : Purpose, Realtime Use

Ch 14: DAX Level 2

  • DAX Measures Creation, Use
  • DAX Functions: IIF, ISBLANK
  • SUM, CALCULATE Functions
  • DAX Cheat Sheet : Examples
  • Quick Measures in Power BI
  • Running Totals, Filters

Ch 15 : DAX Level 3

  • Star Rating Calculations
  • Data Models & DAX
  • Star & Snowflake Schemas
  • Dimensions, Fact Tables
  • DAX Expressions & Joins
  • DAX Variables, Usage

Ch 16 : DAX Level 4

  • Dynamic Report with DAX
  • SELECTED MEMEBER
  • Time Intelligence with DAX
  • PARALLELPERIOD, DATE
  • DAX with Big Data
  • Big Data Analytics

Ch 17 : Realtime Project Phase 1

  • Project Requirement Spec
  • Understanding Data, Formats
  • Report Pattern Design
  • Report Design & Modelling
  • Power Query, DAX, Insights
  • Analytical Reports in Cloud

Ch 18 : Realtime Project Phase 2

  • Complete Project Solution
  • Project FAQs, Key Roles
  • Real-world Considerations
  • Power BI Admin Concepts
  • Resume Points, FAQs
  • PL 300 Exam Guidance

SQL SCHOOL

24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.

Azure Devops Training FAQs

What is Azure Devops Job Role?

👉 Azure DevOps Engineer helps automate and manage the software build, test, and deployment process in the cloud to deliver applications faster and more reliably.

An Azure DevOps Engineer:
✅ Builds and manages CI/CD pipelines.
✅ Automates builds, tests, deployments.
✅ Manages Azure infrastructure using IaC (ARM, Bicep, Terraform).
✅ Ensures security, compliance, monitoring.
✅ Collaborates with dev, QA, and ops teams for smooth delivery.

What are the Job Roles of an Azure Devops?

💼 Top Job Roles:

  1. Python Developer – Build applications, APIs, and backend systems.

  2. Software Developer – Create software solutions using Python.

  3. Data Analyst – Analyze and visualize data using Python libraries.

  4. Data Scientist – Build and deploy machine learning models.

  5. Machine Learning Engineer – Design intelligent systems and algorithms.

  6. AI Engineer – Work on AI projects like chatbots and image recognition.

  7. Automation Engineer – Automate tasks, workflows, and testing.

  8. Web Developer (Python) – Develop web apps using Django or Flask.

  9. DevOps Engineer (Python) – Automate CI/CD pipelines and deployments and more..!

💼 Job Roles of an Azure DevOps Engineer

✅ Design and manage CI/CD pipelines for automated builds, testing, and deployment.
✅ Set up and maintain Azure infrastructure using Infrastructure as Code (ARM, Bicep, Terraform).
✅ Ensure application security, compliance, and performance monitoring.
✅ Collaborate with development, QA, and operations teams for smooth delivery.
✅ Automate manual tasks to improve efficiency.
✅ Manage Azure Repos, Boards, Artifacts, and Test Plans.
✅ Troubleshoot deployment issues and improve release processes.
✅ Support containerization (Docker, Kubernetes) and cloud-native app deployments.

What does our Azure Devops Training course contains?

The course is carefully curated with below module:
👉🏻Module 1: Microsoft SQL (TSQL)
👉🏻Module 2: Azure Devops
👉🏻Module 2: Power BI

Who can join this course?

  • Freshers looking to start a career in Devops or cloud technologies

  • Students from any background interested in software delivery and cloud tools

  • IT and Non-IT professionals aiming to upskill

  • Anyone with basic computer knowledge and a passion for learning

No prior coding experience is required. All concepts are taught from scratch

What training modes are available?

Option 1:        LIVE Online Training  (100% Interactive, step by step, assignments)

Option 2:        Self Paced Videos (100% practical, step by step with concept wise assignments)

You may choose any one of these options, same curriculum!

I (Trainer) shall be available for doubts and clarifications, assignment check and review.

Why should I choose SQL School for Azure devops training?

👉🏻 Every session is Practical, Step by Step with Concept wise FAQs !!

👉🏻 100% results with on-time practice.  Daily Tasks for every session.

👉🏻 Concept wise tasks be submitted before next class for Job Waiters / Starters.

👉🏻 Concept wise tasks due for submission by Weekends for Working Professionals.

Why Choose SQL School

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Concept wise FAQs
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support
  • Realtime Project Solution
  • MS Certification Guidance