Azure DevOps Training

4.80/5.0

(5489)

duration

2-3 months

EMI

0% Interest

Mode

Live Online / Offline

Our Azure DevOps Training will make students learn some of the most in-demand concepts in Azure DevOps such as – Python Basics, Linux Basics, Shell Scripting, Azure, Azure Virtual Machines, Networking, Azure Active Directory, Azure Monitor, Azure Site Recovery, Azure Backup Service, Jenkins, Docker etc. This curriculum will surely make students experts in the concept of Azure DevOps in a shorter span of time. Our Azure DevOps Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Azure DevOps Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in a high-paying DevOps Engineer and other Azure DevOps related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Azure DevOps covers all topics that are guaranteed to give you a complete understanding of the Azure DevOps Course.

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Lifelong Placement
Support

Get Certified

Upcoming Batches

Hands On Training

3-5 Real Time Projects

60-100 Practical Assignments

3+ Assessments / Mock Interviews

August 2026

Week days
(Mon-Fri)

Online/Offline

2 Hours Real Time Interactive Technical Training

1 Hour Aptitude

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee

August 2026

Week ends
(Sat-Sun)

Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

Learn More

Quick Enquiry

Placement

Dedicated placement support

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

We Tie-Up with 1000+ Leading IT and MNC Companies

SLA's Hiring and Placement Partner: Napier

SLA's Hiring and Placement Partner: Highradius

SLA's Hiring and Placement Partner: Valuemomentum

SLA's Hiring and Placement Partner: Observeai

SLA's Hiring and Placement Partner: Tredence

SLA's Hiring and Placement Partner: Intellect

SLA's Hiring and Placement Partner: Latent View

SLA's Hiring and Placement Partner: Birlasoft

SLA's Hiring and Placement Partner: Prodapt

SLA's Hiring and Placement Partner: Tanla

SLA's Hiring and Placement Partner: Acs Solutions

SLA's Hiring and Placement Partner: GlobalLogic

This Course Includes

FREE Demo Class
0% EMI Loan Facilities
FREE Softskill & Placement Training
Tie up with more than 500+ MNCs & Medium Level Companies
Dedicated placement support
Course Completion Certificate
Training with Real Time Projects
Industry-Based Coaching By MNC IT Professionals

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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

80% of coursework completion helps us arrange interviews in required companies.
2 or 3 projects to be done for the selected course to ace the technical round effectively.
Ensure attending the placement training right from the first day of the selected course.
Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
Utilize the internship training program at SLA for the complete technical skills.
Collect the course completion certificate and update the copy to the placement team.
Ensure your performance indicator meets the expectation of top companies.
Always be ready with the updated resume that includes project details done at SLA.
Enjoy unlimited interview arrangements along with internal mock interviews.

Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Azure DevOps Training

The primary objective of our Azure DevOps Course is to make enrolled candidates experts in Azure DevOps. This Azure DevOps Course will make students grow into successful and most in-demand DevOps Engineers, and more. SLA Institute’s Azure DevOps Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Azure DevOps. So, some of those concepts are discussed below as objectives:

To make students grasp the basics concepts in Azure DevOps such as – Python Basics, Linux Basics, Shell Scripting, Azure – Global Infrastructure, Backbone Network, Regions, Availability Zones etc.
Also to make students well-versed in Azure DevOps topics like – VM Types & Sizes, Virtualization technologies in Azure, Creation & Management of VM’s, Networking Basics, Virtual Network, Subnets, Group and Access Management, Group-based licensing, Azure AD architecture etc.
The Azure DevOps Training will also make students grasp the advanced concepts like – Disk Types, Disk SKU’s, Temp Disk, Azure SQL Database, Azure SQL Manage Instance, Single Database, App Service Environments, App Service Plans, Virtual Network Integrations, CI/CD, Docker etc.

Future Scope for Azure DevOps Training

The following are the scopes available in the future for the Azure DevOps Course:

AIOps Integration: Utilizing artificial intelligence to enhance IT operations by predicting issues and automating solutions.
Complex CI/CD Pipelines: Implementing sophisticated deployment techniques such as blue-green deployments, canary releases, and feature flags.
Multi-Cloud and Hybrid Cloud Management: Handling and deploying applications across various cloud platforms and on-premises systems.
DevSecOps: Incorporating security practices into the DevOps lifecycle, including automated security testing, compliance monitoring, and vulnerability management.

Project Practices on Azure DevOps Training

Project 1CI/CD Pipeline for a Web Application

Set up a pipeline using Azure Pipelines to automate the build, test, and deployment processes of a web application across different environments.

Project 2Infrastructure as Code (IaC) with Terraform and Azure

Creating Terraform scripts to manage and provision Azure resources, and integrating them into Azure Pipelines for automated infrastructure management.

Project 3DevSecOps Pipeline Implementation

Integrating security measures into the CI/CD pipeline by incorporating static code analysis, dependency scanning, and automated security testing.

Project 4Monitoring and Alerting Setup

Configuring Azure Monitor and Application Insights to track application performance, create custom dashboards, and set up alerts for critical metrics.

Project Practices for Azure DevOps

Prerequisites for learning Azure DevOps Course

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Azure DevOps better, However it is completely optional:

Programming Knowledge: Basic proficiency in at least one programming language (e.g., C#, Python, JavaScript) to comprehend how code is developed, tested, and deployed.
CI/CD Concepts: Understanding Continuous Integration and Continuous Deployment (CI/CD) and their roles in enhancing the development and deployment process.
DevOps Practices: Awareness of general DevOps practices such as automation, infrastructure as code (IaC), and system monitoring.
Cloud Concepts: Understanding basic cloud computing principles, including IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service).

Our Azure DevOps Course is fit for:

Students eager to excel in Azure DevOps
Professionals considering transitioning to Azure DevOps careers
IT professionals aspiring to enhance their Azure DevOps skills
DevOps Engineers who are enthusiastic about expanding their expertise.
Individuals seeking opportunities in the Azure DevOps field.

Job Profile for Azure DevOps Training

After finishing the Azure DevOps Training, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Azure DevOps sector;

DevOps Engineer: Azure DevOps Training will train students into successful DevOps Engineers who are responsible for implementing and managing CI/CD pipelines, automating deployment processes, and ensuring smooth integration between development and operations teams.

Site Reliability Engineer (SRE): Azure DevOps Training will turn students into skilled Site Reliability Engineer who works on maintaining and improving the reliability, availability, and performance of applications and systems through automation and monitoring.

Cloud Engineer: Azure DevOps Training will make students into Cloud Engineer who designs, deploys, and manages cloud infrastructure and services on Azure, ensuring scalability, security, and efficient resource utilization.

Release Manager: The SLA Institute will provide students with enough resources that it will make students into a successful Release Manager who oversees and coordinates the release of software applications, including scheduling, planning, and managing release processes.

Automation Engineer: The SLA Institute will make students into skilled Automation Engineer who develops and implements automation solutions to streamline repetitive tasks and improve operational efficiency.

Build Engineer: The SLA Institute will turn students into Build Engineers who focus on building and maintaining the software build process, ensuring that code changes are properly compiled and tested.

Infrastructure Engineer: Designs and manages the underlying infrastructure that supports applications and services, including servers, networks, and storage.

Security Engineer (DevSecOps): Integrates security practices into the DevOps lifecycle, including automated security testing, vulnerability management, and compliance.

Application Support Engineer: Provides support and troubleshooting for applications in production environments, ensuring high availability and performance.