Software Training Institute in Chennai with 100% Placements – SLA Institute

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Azure DevOps Training

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Live Online & Classroom Training
EMI
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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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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
November 2024
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
November 2024
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

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Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • 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.

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Azure DevOps Course Syllabus

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SLA Institute’s Azure DevOps Course Syllabus comes with 100% placement support so students will be guaranteed a placement in an esteemed organization. In addition to that the Azure DevOps Course Syllabus is also carefully curated with the help of leading professionals and experts from the IT industry with so many hours invested in it. So, everything that our students learn in the Azure DevOps course is fully up-to-date to the current trends in the IT industry, which increases their chances of getting employed.

PYTHON BASICS
  • Introduction
  • Why Python?
  • Installing Python
  • Types in Python
  • Integers & Floats
  • String
  • Booleans
  • None
  • Lists
  • Dictionary
  • Other Data Types
  • Statements in Python
  • If
  • Loops
  • Break & Continue
  • While
  • Exceptions in Python
  • Functions
  • File Management in Python
  • Yield
  • Lambda Functions
  • Object Oriented Programming with Python
  • Classes
  • SYLLABUS
  • Methods
  • Constructors
  • Instance & Class Attributes
  • Inheritance & Polymorphism
  • Python Tips & Tricks
  • Strings & Collections
  • Modularity
  • Handling Exceptions
LINUX BASICS
  • Overview
  • Understanding Linux Architecture
  • Shell and Kernel Overview
  • Linux Distributions
  • Using Shell
  • Exploring Filesystems
  • Working with Text Files
  • Process Management
  • Package Management
  • Managing User Accounts
  • Disk & Filesystem management
  • Linux Networking
  • Service Management in Linux
  • Server Configurations in Linux
  • Troubleshooting in Linux
SHELL SCRIPTING
  • Why and What of Shell Scripting
  • Shell Terminals
  • Creation & Execution of Shell Scripts
  • Variables & Variable Scopes
  • Conditions in Shell Scripts
  • Iterating with loops
  • Functions in Shell Scripts
  • Regular Expressions
  • Command Piping with grep
  • AWK Fundamentals
AZURE
  • Global Infrastructure
  • Backbone Network
  • Regions
  • Availability Zones
  • Points of Presence
  • Custom Hardware
AZURE VIRTUAL MACHINES& SCALE SETS
  • How Azure VM’s Work internally
  • VM Types & Sizes
  • Virtualization technologies in azure
  • Creation & Management of VM’s
  • Creating VM Images
  • High Available VM’s
  • Availability Sets & Availability Zones
  • VM Scale Sets
NETWORKING
  • Networking Basics
  • Virtual Network
  • Subnets
  • Network Security Groups
  • Application Security Groups
  • Routing
  • VNET Peering
  • Azure Load Balancer
  • Azure Application Gateway
AZURE ACTIVE DIRECTORY
  • Overview
  • What is Azure Active Directory
  • Group and Access Management
  • Group-based licensing
  • Azure AD architecture
  • Default User Permissions
  • Organization
  • Groups
  • Users
  • Authentication
  • Azure RBAC
  • Custom Roles in Azure
  • Privileged Identity Management
AZURE MONITOR
  • Overview
  • Log Analytics
  • Log Queries
  • Visualize log data
  • Alerts
  • Application Insights
  • Metrics
  • Continuous monitoring with Azure Monitor
AZURE SITE RECOVERY
  • Overview
  • Business Continuity and Disaster Recovery (BCDR)
  • Replication of Azure VMs to different Regions
  • Failover of Azure VMs
  • Disaster Recovery for Apps
AZURE BACKUP SERVICE
  • Overview
  • Backup Azure VMs
  • Restoring disks
  • Backup from On-prem to Azure
AZURE STORAGE ACCOUNTS
  • Overview
  • Storage account types
  • Blob Storage
  • Page Blobs
  • Block Blobs
  • Table Storage
  • Queue Storage
  • File Storage
  • Data Redundancy
  • Access Tiers
  • Performance & Scaling
  • Concurrency
  • Static Websites using Storage Account
AZURE MANAGED DISKS
  • Overview
  • Benefits of Using Managed Disks
  • Disk Types
  • Disk SKU’s
  • Temp Disk
  • Data Disk
  • OS Disk
  • Backup & Recovery of Disks
AZURE SQL
  • Overview
  • Azure SQL Database
  • Azure SQL Mange Instance
  • Single Database
  • Elastic Pool
  • Purchasing Models
  • Service Tiers
AZURE APP SERVICE WEB APPS
  • Overview
  • App Service Environments
  • App Service Plans
  • Virtual Network Integrations
  • Hybrid connections
Devops
  • Why DevOps
  • What is DevOps
    • Definition
    • Stakeholders of DevOps
  • What is SDLC
    • Phases of SDLC
    • Role Of Dev in SDLC
    • Role of Ops in SDLC
  • What is Agile and Scrum
    • Agile Development Process
    • Role of Dev in Agile
    • Role of Ops in Agile
  • Problem That DevOps Solves
GIT
  • Version Control Basics
  • Commits and Revisions
  • Branches
  • Stashing
  • Branching In Depth
  • Rebase
  • Tagging
  • Sub-Projects with Sub-Modules and SubTrees
  • Git Hooks
  • Git Administration
  • Git Flow

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.

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.
  • Agile Coach/Scrum Master: Facilitates Agile practices and processes within teams, ensuring effective project management and collaboration.
  • Systems Administrator: Manages and maintains systems and servers, including performing installations, configurations, and updates.
  • Configuration Manager: Manages and tracks configuration changes in software and infrastructure, ensuring consistency and compliance.

Want to learn with a personalized course curriculum?

The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Azure DevOps Course FAQ

What distinguishes Azure DevOps from GitHub, and when should each be used?

Azure DevOps offers a full suite of tools for the software development lifecycle, including CI/CD pipelines, project management with Azure Boards, and infrastructure as code (IaC) capabilities, ideal for enterprise needs. GitHub, mainly a source code repository, provides CI/CD through GitHub Actions and excels in open-source collaboration and community-driven projects. Choose Azure DevOps for comprehensive enterprise integration and GitHub for collaborative coding.

How is Infrastructure as Code (IaC) implemented using Azure DevOps?

Implement IaC by using Azure Resource Manager (ARM) templates, Terraform, or Bicep to define infrastructure in code, store it in Azure Repos or GitHub, and then create Azure Pipelines to apply these configurations. Build pipelines validate and test IaC scripts, while release pipelines deploy them to different environments.

What are key best practices for setting up CI/CD pipelines in Azure DevOps?

Key practices include integrating version control systems like Git, using modular pipelines for reusability, incorporating automated tests, applying deployment strategies such as blue-green or canary releases, setting up monitoring and alerts, and ensuring pipeline security with scans and compliance checks.

How should secrets and sensitive information be managed in Azure DevOps?

Manage secrets by using Azure Key Vault for secure storage, pipeline variables and variable groups for non-sensitive and shared data, Secure Files for sensitive files needed during execution, and environment-specific variables with the secret type. Implement strict access controls to protect this sensitive information.

Where is the SLA Institute’s corporate office located?

SLA Institute has two branches currently – one is in OMR, Navalur and another is in K.K.Nagar which is where the corporate office is located in the institute itself. 

Is there an option available for EMI in the SLA Institute?

Yes, the SLA Institute does indeed provide EMI option in payment with 0% interest.

Is it hard to learn the Azure DevOps Course?

Learning the Azure DevOps Course can be made easy for students with the help of our experienced trainers and up-to-date curriculum if students are willing to give their best in learning.

How long is the Azure DevOps Course?

The Azure DevOps Course is 3 months long in the SLA Institute.

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