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

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AWS DevOps Course in Chennai

(3672)
Live Online & Classroom Training
EMI
0% Interest

Our AWS DevOps Training in Chennai will make students learn some of the most in-demand concepts in AWS DevOps such as – Python Basics, Linux Basics, Shell Scripting, AWS, Virtual Private Cloud, Load Balancing, Identity Access Management (IAM), Cloudwatch, Cloudtrail, Cloud Formation etc. This curriculum will surely make students experts in the concept of AWS DevOps in a shorter span of time. Our AWS DevOps Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our AWS 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 AWS DevOps related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for AWS DevOps covers all topics that are guaranteed to give you a complete understanding of the AWS DevOps Course in Chennai.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
September 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
September 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 AWS DevOps Course in Chennai

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

  • The syllabus begins with some of the most basic concepts in AWS DevOps like – Python Basics – Installing Python, Types in Python, Integers & Floats, Linux Basics – Shell and Kernel Overview, Linux Distributions, Using Shell, Shell Scripting – Shell Terminals, Creation & Execution of Shell Scripts, Variables & Variable Scopes etc.
  • The syllabus will then go a bit deeper into AWS DevOps where students will learn – AWS – Global Infrastructure, Backbone Network, Regions, Virtual Private Cloud – VPC, Subnets, Network ACLs and Security Groups, Classic Load Balancer, Application Load Balancer, Network Load Balancer etc. 
  • The syllabus finally moves to the advanced topics in AWS DevOps like – Jenkins, Docker, Ansible Essentials – Static Inventories, Common Modules, Playbook syntax, Conditionals etc.

Future Scope for AWS DevOps Course in Chennai

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

  • Rising Adoption of Cloud Services: Businesses across sectors are increasingly migrating their infrastructure and applications to the cloud. AWS, a leader in cloud services, continues to expand its offerings and global infrastructure. Proficiency in AWS DevOps is essential for organizations seeking to capitalize on cloud scalability, flexibility, and cost-effectiveness.
  • Increasing Demand for DevOps Practices: DevOps has become integral to modern software development and IT operations, emphasizing collaboration, automation, and continuous enhancement. AWS DevOps experts play a crucial role in implementing practices like infrastructure as code (IaC), continuous integration (CI), continuous delivery/continuous deployment (CD), and automated testing, ensuring rapid and reliable application delivery.
  • Emphasis on Security and Compliance: With more critical data and applications moving to the cloud, there is heightened emphasis on security and compliance. AWS DevOps professionals are responsible for implementing robust security measures, managing access controls, encrypting data, and ensuring adherence to industry standards such as GDPR, HIPAA, and PCI-DSS.
  • Integration of AI and Machine Learning: AWS offers advanced AI and machine learning services (e.g., Amazon SageMaker) that seamlessly integrate with DevOps workflows. AWS DevOps specialists with expertise in integrating AI/ML capabilities can leverage these technologies for automation, predictive analytics, and operational efficiency improvements.

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Project Practices on AWS DevOps Training

Project 1Building a CI/CD Pipeline

Develop a continuous integration and continuous deployment (CI/CD) pipeline using AWS services like CodePipeline, CodeBuild, and CodeDeploy. Automate the process of building, testing, and deploying applications hosted on Amazon EC2 instances or AWS Lambda functions.

Project 2Infrastructure Automation with AWS CloudFormation

Create infrastructure templates using AWS CloudFormation to automate the provisioning and management of AWS resources such as EC2 instances, S3 buckets, RDS databases, and IAM roles. Implement version control for CloudFormation templates using Git for streamlined management.

Project 3Serverless Application Development

Construct a serverless application leveraging AWS Lambda functions along with services like API Gateway, DynamoDB for database storage, and S3 for static content storage. Implement automated deployment pipelines using AWS CloudFormation and monitoring with AWS CloudWatch.

Project 4Microservices Architecture Deployment

Design and deploy a microservices architecture using Amazon ECS (Elastic Container Service) or EKS (Elastic Kubernetes Service). Utilize Docker containers to package applications, define task definitions, and configure auto-scaling and load balancing to optimize performance.

Prerequisites for learning AWS DevOps Course in Chennai

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 AWS DevOps better, However it is completely optional:

  • Foundational Knowledge of Cloud Computing: It’s crucial to be familiar with cloud computing fundamentals such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Understanding the operational mechanisms and advantages of cloud services forms the bedrock for comprehending AWS DevOps principles.
  • Understanding of DevOps Principles: An essential prerequisite is a grasp of DevOps principles and practices. This includes knowledge of continuous integration (CI), continuous delivery/continuous deployment (CD), automation techniques, and fostering collaboration between development and operations teams.
  • Proficiency in Linux Basics: Given AWS’s predominant use of Linux-based systems, familiarity with Linux command-line interface (CLI), basic shell scripting, file permissions, and fundamental system administration tasks is beneficial.
  • Knowledge of Networking: A solid understanding of networking concepts such as IP addressing, subnets, routing, DNS, load balancing, and firewall configurations is critical. AWS DevOps courses often cover configuring networking components within AWS environments.

Our AWS DevOps Course in Chennai is fit for:

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

Job Profile for AWS DevOps Course in Chennai

After finishing the AWS DevOps Course in Chennai, 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 AWS DevOps sector;

  • DevOps Engineer: The AWS DevOps Course will train students into successful DevOps Engineers who focus on implementing and managing automated deployment pipelines, infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD) processes using AWS services. Their role ensures efficient software delivery and operational cohesion by bridging development and operations workflows.
  • Cloud Engineer: The AWS DevOps Course will make students into skilled Cloud Engineers who specialize in designing, deploying, and maintaining AWS cloud infrastructure. They optimize resources such as EC2 instances, S3 storage, databases (RDS, DynamoDB), and networking components (VPC, Route 53) to meet scalability requirements and application needs.
  • AWS Architect: The AWS DevOps Course will turn students into AWS Architects who design scalable and cost-effective cloud solutions leveraging AWS services. Collaborating closely with stakeholders, they translate business requirements into robust architectures that adhere to AWS best practices, ensuring reliability and performance.
  • Site Reliability Engineer (SRE): The SLA Institute will make students into SREs who focus on ensuring the reliability, availability, and performance of applications and services hosted on AWS. They employ AWS CloudWatch for monitoring, implement alerting mechanisms, automate recovery processes, and optimize system performance to minimize downtime.
  • Automation Engineer: The SLA Institute will turn students into skilled Automation Engineers who specialize in scripting and automating infrastructure management tasks using AWS SDKs, AWS CLI, and infrastructure as code (IaC) tools like AWS CloudFormation or Terraform. They streamline deployment workflows, enhance operational efficiency, and maintain uniformity across environments.
  • Security Engineer: The SLA Institute will train students into successful Security Engineers implementing security best practices and compliance measures within AWS environments. They design secure architectures, configure access controls (IAM), implement encryption (AWS KMS), and monitor for security threats using AWS security services such as AWS WAF and GuardDuty.
  • Containerization Specialist: Containerization Specialists design and oversee containerized applications using AWS services like Amazon ECS (Elastic Container Service) or Amazon EKS (Elastic Kubernetes Service). They manage Docker containers, define Kubernetes clusters, and orchestrate containers for scalable deployments.
  • Big Data Engineer (AWS): Big Data Engineers focus on designing and managing big data solutions on AWS using services like Amazon EMR, Amazon Redshift, and AWS Glue. They construct data pipelines, optimize data processing workflows, and ensure data reliability and accessibility in cloud environments.
  • DevSecOps Engineer: DevSecOps Engineers integrate security practices into the DevOps pipeline on AWS. They automate security checks, implement vulnerability assessments (AWS Inspector), and uphold compliance with industry regulations (e.g., PCI-DSS, GDPR) while sustaining continuous integration and delivery workflows.
  • AWS Consultant/Solutions Architect: AWS Consultants or Solutions Architects collaborate with clients to comprehend their business requirements and devise tailored solutions utilizing AWS cloud services. They provide technical guidance, lead migration initiatives, and optimize AWS environments for performance, scalability, and cost-effectiveness.

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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 Infrastructure as Code (IaC), and how is it applied within AWS?

Infrastructure as Code (IaC) involves managing and provisioning infrastructure through machine-readable configuration files rather than manual processes. In AWS, tools like AWS CloudFormation and Terraform are used to define infrastructure components such as EC2 instances, RDS databases, and networking resources in a declarative format.

What role do AWS Lambda functions play in DevOps workflows?

AWS Lambda is a serverless compute service that enables executing code without managing servers. Lambda functions are integral to DevOps workflows for automating tasks like deployment, data processing, and responding to events. By triggering Lambda functions based on events from various AWS services or custom triggers, DevOps teams achieve seamless automation and scalability in their applications.

How does AWS CodePipeline streamline CI/CD pipelines?

AWS CodePipeline is a managed service that automates the stages of continuous integration and continuous delivery (CI/CD) for software releases. It integrates with AWS CodeBuild for build automation, AWS CodeDeploy for deployment automation, and source code repositories like AWS CodeCommit or GitHub. CodePipeline allows DevOps teams to define customized workflows, automate release pipelines, and monitor the entire software delivery lifecycle.

What considerations are essential for implementing scalable and highly available architectures on AWS?

Implementing scalable and highly available architectures on AWS requires attention to several key factors:

  • Auto Scaling: Utilize Auto Scaling groups to automatically adjust the number of EC2 instances based on demand, ensuring optimal resource allocation.
  • Elastic Load Balancing (ELB): Distribute incoming application traffic across multiple EC2 instances or containers using ELB to enhance fault tolerance and availability.
  • Multi-AZ Deployments: Deploy applications and databases across multiple Availability Zones (AZs) to mitigate single points of failure and enhance reliability.
  • Monitoring and Alerts: Implement robust monitoring using AWS CloudWatch to track performance metrics, set up alarms for critical thresholds, and automate responses to maintain application scalability and availability.
Is there an EMI option available in the SLA Institute?

Yes, the SLA Institute has an EMI option with 0% interest.

How many branches does the SLA Institute have?

The SLA Institute has two branches – K.K.Nagar and OMR, Navalur.

Is it easy to learn the AWS DevOps Course?

The SLA Institute has experienced trainers, modern infrastructure and resources – all of which will contribute to students getting the best and easy learning experience of the AWS DevOps Course.

How long is the AWS DevOps Course?

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

On Average Students Rated The AWS DevOps Course 4.80/5.0
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