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

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AWS DevOps Course in OMR

(4152)
Live Online & Classroom Training
EMI
0% Interest

Join our AWS DevOps Training in OMR at SLA Institute, where we teach you how to use Amazon Web Services (AWS) with DevOps practices. You’ll learn about key AWS services like EC2, S3, and AWS Lambda, and important DevOps tools for automating tasks, continuous integration/delivery (CI/CD), and managing infrastructure. Gain hands-on experience deploying and overseeing scalable, secure applications on AWS cloud platforms. Our practical projects prepare you for real-world challenges in cloud environments. With SLA Institute’s AWS DevOps Course in OMR with 100% Placement Support, you’ll be well-prepared to start your career in AWS DevOps confidently. Join us and take the next step towards becoming a skilled AWS DevOps professional.

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our AWS DevOps Course Syllabus covers all essential topics, providing you with a comprehensive understanding of AWS DevOps development.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
December 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
December 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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Quick Enquiry

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 AWS DevOps Course in OMR

In the AWS DevOps Course at SLA Institute in OMR, you will:

  • Learn AWS Basics: Understand core AWS services like EC2, S3, and AWS Lambda for building and deploying applications in the cloud.
  • Use DevOps Tools: Discover how to use tools for automation, CI/CD pipelines, and managing infrastructure with AWS.
  • Deploy Applications: Gain skills in deploying secure, scalable applications on AWS cloud platforms.
  • Practice Hands-on: Apply your learning through practical projects to prepare for real-world challenges in DevOps.
  • Prepare for Careers: Get ready for AWS DevOps roles with training and support to launch your career in cloud and DevOps.

Future Scope of AWS DevOps Course in OMR

Future Opportunities

In the future, the AWS DevOps Course at SLA Institute in OMR offers great opportunities. As more businesses move to cloud computing and DevOps, there’s a growing need for skilled professionals who can manage AWS services efficiently. Learning to deploy applications, automate tasks, and optimize workflows with AWS prepares you for in-demand roles.

Technology Advancements

AWS continues to lead in cloud services, providing tools that automate and integrate operations smoothly. The course ensures you understand these technologies well, keeping you competitive in the job market. Skills in managing cloud environments and using AWS effectively are crucial in today’s IT landscape.

Career Paths

Graduates can pursue careers like DevOps Engineer, Cloud Engineer, or AWS Architect. These roles involve setting up and maintaining cloud solutions, improving processes, and ensuring systems run smoothly. With businesses focusing on efficiency and scalability, AWS DevOps professionals play a vital role in driving technological change.

Continuous Growth

Staying updated with AWS’s latest services and certifications is essential for career growth. SLA Institute supports your journey with certification prep and job placement assistance. This prepares you to adapt to industry changes and excel in cloud technology and DevOps, contributing to organizational success.

Achieve Your Goals With SLA

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

Download Syllabus

Join our AWS DevOps Training in OMR at SLA Institute to master essential skills in creating dynamic applications using AWS DevOps. This training program delves into crucial programming concepts, explores frameworks such as ASP.NET Core and Entity Framework, and provides insights into database management and deployment strategies. Gain expertise sought after by employers through practical projects and dedicated support from SLA Institute, preparing you to embark on a rewarding career path in AWS DevOps and web development.

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
  • 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
AWS
  • Global Infrastructure
  • Backbone Network
  • Regions
  • Availability Zones
  • Points of Presence
  • Custom Hardware
VIRTUAL PRIVATE CLOUD (VPC)
  • VPC
  • Subnets
  • Network ACLs and Security Groups
  • Elastic Network Interfaces (ENI)
  • Internet Gateways
  • NAT Gateway
  • VPC Peering
  • Elastic Ips
LOAD BALANCING
  • Basics
  • Classic Load Balancer
  • Application Load Balancer
  • Network Load Balancer
  • Auto Scaling Groups
  • Route 53
  • Content Delivery Network (CDN)
IDENTITY AND ACCESS MANAGEMENT (IAM)
  • Users
  • Groups
  • Roles
  • Policies
  • Custom Policies
  • Multi Factor Authentication
  • AWS Organizations and Service Control Policies
  • Operation Modes
AMAZON ELASTIC COMPUTE CLOUD (EC2)
  • Instance Types
  • EC2 Instance Families
  • EC2 Purchasing Options
CLOUDWATCH
  • Monitoring and logging basics
  • CloudWatch Metrics
  • CloudWatch Alarms
  • CloudWatch Billing Alarms
  • CloudWatch Free tier Billing Alerts
  • CloudWatch Logs
  • CloudWatch Log Agent
  • CloudWatch Log Insights
  • CloudWatch Events
  • CloudWatch and Simple Notification Services Integration
CLOUDTRAIL
  • CloudTrail Workflow
  • Concepts
  • CloudTrail Log Files
  • CloudTrail Events
SIMPLE NOTIFICATION SERVICE (SNS)
  • Introduction
  • SNS Topics
  • SNS Push Notifications
AMAZON RELATIONAL DATABASE SERVICES
  • Overview of Relational Databases
  • RDS Instances and RDS Instance Sizes
  • Supported Databases
  • Option Groups
  • Subnet Groups
  • Parameter Groups
  • Why Aurora Database?
  • Snapshots
  • Automated Backups
  • Reserved Instances
  • Replications
SIMPLE STORAGE SERVICE (S3)
  • Architectural Overview
  • Buckets
  • Objects and Folders
  • Storage Tiers
  • Lifecycle policies
  • Versioning
  • Locking
  • Access to S3 Buckets
  • Static Website Hosting
  • S3 Cross Region Replications
  • S3 Bucket Policies
ELASTIC BLOCK STORAGE
  • Hard disk Basics
  • EBS Types
  • EBS vs Instance Storage
  • Volume
  • EBS Snapshots
  • Backups & Replications
  • Mounting EBS Volumes
  • Troubleshooting
  • ELASTIC BLOCK STORAGE
  • Operating Modes
CLOUD FORMATION
  • Concepts
  • How CloudFormation Works
  • Templating Basics
  • Json/YAML
  • Template Anatomy
  • Resources
  • Helper Scripts
  • Stacks
Devops
  • Why DevOps
  • What is DevOps
  • What is SDLC
  • What is Agile and Scrum
  • Problem That DevOps Solves

Project Practices on AWS DevOps Training

Project 1Automated Deployment Pipeline

Develop a CI/CD pipeline using AWS CodePipeline to automate software build, test, and deployment processes. This streamlines updates, ensuring faster delivery and reliability of applications in AWS environments.

Project 2Infrastructure Automation with Terraform

Learn to automate AWS resource management using Terraform. Define infrastructure configurations in reusable scripts to provision and scale resources efficiently, optimizing deployment processes and ensuring consistency across environments.

Project 3Microservices Deployment on ECS

Deploy microservices architecture on AWS ECS. Utilize Docker to containerize applications, orchestrate deployments, and manage scalable and fault-tolerant microservices environments, enhancing agility and performance in cloud-based applications.

Project 4Serverless Data Processing with AWS Lambda

Explore serverless data processing using AWS Lambda, S3, and DynamoDB. Design event-driven workflows that automatically process data from cloud storage and databases, leveraging serverless computing for cost-effective, scalable solutions without managing server infrastructure.

Prerequisites for learning AWS DevOps Course in OMR

Before starting the AWS DevOps Course at SLA Institute in OMR, it’s helpful to:

  • Know about Cloud Basics: Understanding how cloud computing works will make it easier to learn AWS services used in DevOps.
  • Understand Programming: Knowing languages like Python or Java helps with scripting and automation tasks.
  • Be Familiar with Linux: Knowing basic command-line skills and how Linux works is useful for managing AWS systems.
  • Learn DevOps Concepts: Knowing about CI/CD pipelines and tools like Git helps integrate AWS DevOps tools effectively.
  • Understand Networking: Knowing about IP addresses, DNS, and routing helps in managing cloud infrastructure.

Our AWS DevOps Course in OMR is ideal to:

  • Students eager to excel in AWS DevOps
  • Professionals considering transitioning to AWS DevOps careers
  • IT professionals aspiring to enhance their AWS DevOps skills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in AWS DevOps

Job Profile in AWS DevOps Course in OMR

In the AWS DevOps Course at SLA Institute in OMR, participants are prepared for various job profiles that require expertise in both front-end and back-end data handling:

  • DevOps Engineer: Automates software processes, manages infrastructure, and sets up CI/CD pipelines using AWS tools. Salaries can start around ₹5-8 lakhs per year for beginners and go up to ₹15-25 lakhs per year for experienced professionals.
  • Cloud Engineer: Builds and maintains AWS cloud systems for scalability and security. Salaries typically range from ₹6-10 lakhs per year for starters to ₹18-30 lakhs per year for senior positions.
  • AWS Architect: Designs and optimizes AWS solutions, chooses services, and improves cost-efficiency. Salaries start at ₹8-12 lakhs per year for juniors and can rise to ₹25-40 lakhs per year for seasoned architects.
  • Automation Specialist: Uses AWS tools to automate tasks and enhance efficiency. Salaries can begin at ₹6-9 lakhs per year and reach ₹15-25 lakhs per year for experts.
  • Site Reliability Engineer (SRE): Ensures AWS applications run smoothly and securely, manages monitoring and recovery plans. Salaries typically start at ₹7-10 lakhs per year and can go up to ₹20-30 lakhs per year for experienced professionals.
  • Security Engineer: Implements security measures for AWS setups, ensures data protection and compliance. Salaries usually range from ₹6-9 lakhs per year for beginners to ₹18-25 lakhs per year for senior roles.

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

AWS DevOps Course FAQ

What is AWS DevOps?

AWS DevOps combines Amazon Web Services (AWS) with DevOps practices to automate software development and deployment. It uses tools like AWS CodePipeline and CloudFormation for continuous integration, delivery, and managing cloud infrastructure efficiently, enhancing productivity and scalability.

Is AWS DevOps easy or hard?

Learning AWS DevOps can be challenging because it involves integrating AWS services with continuous integration and deployment practices. With practice and dedication, though, you can learn to build scalable and efficient cloud applications effectively.

What is AWS DevOps used for?

AWS DevOps automates and manages software development on Amazon Web Services (AWS). It uses tools like AWS CodePipeline and CloudFormation to simplify continuous integration, delivery, and infrastructure management, making it easier to deploy applications efficiently and at scale in the cloud.

Is AWS DevOps enough to get a job?

Having skills in AWS DevOps is valuable for job opportunities, especially in cloud computing and software development. However, gaining expertise in related areas like programming languages and practical experience can further improve your chances of finding a job in this competitive field.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.’

Is AWS DevOps a good career?

AWS DevOps offers a promising career path. It combines in-demand skills in cloud computing and DevOps, with opportunities for growth in automating and managing software development on AWS. It’s a dynamic field with increasing demand for skilled professionals in today’s tech industry.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

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