Course Design By
Course Offered By
Prince
Placed at Accenture
Sneha Patel
Placed at TechBridge Solutions
Vishal Chauhan
Placed at Softcore Technologies
Karan Mehta
Placed at WebTech Solutions
Pooja Agarwal
Placed at Skywave Technologies
Rohit
Placed at Infotech Services India
Priya
Placed at CloudNet Technologies
Rahul Verma
Placed at Tech Solutions Pvt Ltd
With the AWS DevOps Certification Course, you will learn to grasp how organizations use AWS cloud services to deploy software delivery. You will learn CI/CD, Infrastructure automation, Monitoring, Logging, Deployment techniques and Security step by step. The AWS DevOps Course is designed on the basis of hands-on learning so that you can confidently work on real cloud projects and prepare for the AWS Certified DevOps Engineer Professional test.
What You Get
Course Design & Approved By
Nasscom & Wipro
You will learn how DevOps works on AWS from development to deployment. You will learn CI/CD Pipelines, Infrastructure as Code, Monitoring, Logging, Cloud Security and Deployment Strategies. With AWS DevOps Certification Training, you will gain hands-on expertise.
Get a peek through the entire curriculum designed that ensures Placement Guidance
Course Design By
Course Offered By
Top Job Profiles:
Average Salary Range:
Top Job Profiles:
Average Salary Range:
Top Job Profiles:
Average Salary Range:
Top Job Profiles:
Average Salary Range:
Kick start your journey of learning with AWS DevOps Certification Course, learn to Master in Cloud Automation and prepare for AWS Certified DevOps Engineer - Professional.
Our trainer is an expert in cloud computing and DevOps, having worked on numerous real-life AWS projects in various industries. Trainer teaches each concept in easy-to-understand English and gives importance.
An AWS Certified DevOps Engineer is responsible for implementing and managing continuous integration and deployment pipelines, automating infrastructure, and optimizing AWS environments for scalability and reliability.
To become an AWS-certified DevOps Engineer professional, you need to pass the AWS Certified DevOps Engineer – Professional exam, demonstrating your expertise in designing and managing AWS solutions for DevOps practices.
The cost of AWS DevOps Engineer certification varies by exam level and location, with the AWS Certified DevOps Engineer – Professional exam typically costing around USD 300.
Prerequisites for AWS Certified DevOps Engineer certification include prior experience with AWS services, proficiency in DevOps methodologies, and knowledge of scripting languages like Python or Ruby.
The cost of AWS DevOps certification in India may vary, but generally, the exam fee for the AWS Certified DevOps Engineer – Professional exam is around INR 21,000*.
AWS DevOps certification validates your expertise in cloud-based DevOps practices, enhancing your credibility and opening doors to higher-paying roles and career advancement opportunities in cloud computing and DevOps fields.
Yes, students create failover simulations using Route53 and RDS multi-AZ in the lab.
Recorded classes, weekend batch schedules, and 24/7 access to the cloud lab are provided.
Yes. Beginners are welcome, however some basic knowledge of AWS would be good, the course will cover everything in depth.
You will need a basic knowledge of scripting but you don’t need to be an expert of programming.
You will learn CI/CD, automation, monitoring, IaC, deployments, logging, and security, with AWS.
Yep. This AWS DevOps Certification Training is aimed for both freshers and professionals.
You might look at AWS DevOps Engineer, Cloud Engineer, DevOps consultant, Site Reliability Engineer and Cloud Ops Engineer jobs.
It is a certification program that assesses the candidate's ability to create, deliver, operate and manage distributed applications in the AWS environment through the DevOps approach. This test concentrates more on automation, continuous delivery, infrastructure management, monitoring, security and optimization of AWS resources.
With the help of AWS CloudFormation, one can apply IaC (Infrastructure as Code) approach and deploy needed infrastructure based on the templates with the definitions of the necessary AWS resources. In other words, there will be no need to do anything manually anymore.
The choice of the correct strategy depends on various aspects like application criticality, requirements to availability, risk tolerance, etc. An AWS DevOps engineer must be aware of the following deployment strategies: • Blue-Green Deployment: Having two environments, traffic is switched between old and new versions. • Canary Deployment: At first, a new version is deployed to some percent of users and then rolled out. • Rolling Deployment: Old instances are replaced with the new version gradually. • All-at-Once Deployment: A new version is applied to the whole at once.
Amazon CloudWatch can be used for the following purposes of DevOps engineers: metric monitoring, logging, event handling, creating dashboards, setting up alarms and triggering automated actions related to monitoring and observability of AWS applications and infrastructure.
AWS Systems Manager enables you to manage and automate operations tasks in the AWS environment. The tasks could be patch management, parameter management, configuration management, automation, and remote management.
Security should not be considered the last aspect to consider but should instead form an integral part of the whole software development lifecycle. There are certain AWS services that one may leverage in order to make security an integral part of the DevOps lifecycle such as IAM, AWS Secrets Manager, AWS KMS, AWS CloudTrail, encryption, security, and vulnerability tests, among others.
Amazon ECS is a service offered by Amazon for deploying and managing containerized applications while Amazon EKS is a managed Kubernetes service by AWS. Such services can be leveraged in DevOps practices for automating the deployment, management, and scaling of containerized applications.
Thanks to the usage of the serverless computing on events, AWS Lambda can offer various use cases of DevOps that include automation of tasks, deployment-related tasks, validation, operations scripts, event processing, and even components of the serverless application.
IaC in the AWS DevOps approaches refers to the method where the infrastructure can be configured and managed by the teams via machine-readable configuration files.
With the help of deployment automation and monitoring along with predefined conditions of failure, automated rollback is possible. AWS services such as AWS CodeDeploy and Amazon CloudWatch can be integrated into deployment alarms and release pipelines in order to spot problems and automate rollback to previous versions of applications.
AWS has a number of features which may allow creating highly available applications and infrastructure. Such features include Availability Zones, Elastic Load Balancing, Auto Scaling, fault tolerance architecture, automated deployment, health monitoring and automated recovery procedures. By utilizing all of these features alongside with effective DevOps practices one can reduce downtime significantly.
The candidate preparing for this exam should obtain practical experience in several DevOps and AWS domains, namely: • Implementation and automation of CI/CD • Infrastructure as code • AWS infrastructure management • Monitoring and observability • Logging and troubleshooting • Cloud security and IAM • Networking basics • Containerization and orchestration • Serverless architectures • Deployment and releases • Automated operations and rollback • Configuration and systems management • High availability
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
Scenario: Performance improvement
Outcome: Application performance improved.
Scenario: Cloud infrastructure management
Outcome: Cloud infrastructure became stable and organised.
Scenario: AWS security
Outcome: AWS security management improved.
Scenario: DevOps automation
Outcome: Daily DevOps work became faster.
Scenario: Log management
Outcome: Log analysis became easier.
Scenario: Application monitoring
Outcome: Monitoring became simple and proactive.
Scenario: Infrastructure automation
Outcome: Infrastructure deployment became faster.
Scenario: Application deployment automation
Outcome: Complete deployment process became automated.
Company: Capgemini
Location: Hyderabad
Experience: 1–3 Years
Required Skills: AWS, Automation, Monitoring, CI/CD
Company: Infosys
Location: Pune
Experience: 0–2 Years
Required Skills: AWS services, Infrastructure as Code, Deployment
Company: TCS
Location: Bangalore
Experience: 0–2 Years
Required Skills: AWS, CI/CD, CloudFormation, CloudWatch
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