The DevOps Engineering on AWS with JAM certification course is designed to equip professionals with the skills necessary to implement and manage DevOps practices using AWS services and the JAM stack (Jenkins, Ansible, Maven). This hands-on course focuses on automating infrastructure, improving deployment velocity, and ensuring reliability in software delivery pipelines.

Participants will explore key AWS DevOps services such as AWS CodePipeline, AWS CloudFormation, AWS Elastic Beanstalk, and more, enabling them to streamline CI/CD workflows and support modern application lifecycles on the cloud.

The course highlights real-world use cases and best practices for managing infrastructure as code, deploying secure applications, and leveraging the JAM stack for continuous integration and delivery.

The course covers key areas such as:

• DevOps Fundamentals and AWS Integration: Understand the DevOps culture, principles, and its application in AWS cloud environments.
• Infrastructure as Code (IaC): Use AWS CloudFormation to automate infrastructure provisioning and deployment.
• CI/CD Pipeline Implementation: Build automated pipelines with AWS CodePipeline, Jenkins, and Maven to support consistent software delivery.
• Configuration Management: Automate configuration tasks using Ansible and integrate with AWS environments.
• Application Deployment: Use AWS Elastic Beanstalk to deploy, manage, and scale web applications in different environments.
• Monitoring and Logging: Utilize AWS CloudWatch and AWS X-Ray to monitor application health and troubleshoot issues in real-time.
• Security and Compliance: Apply DevSecOps practices using AWS Identity and Access Management (IAM), secrets management, and policy-based controls.
• Cost and Performance Optimization: Implement strategies to manage resources efficiently and control cloud spending.
• Real-world JAM Stack Integration: Leverage Jenkins, Ansible, and Maven to build robust DevOps pipelines integrated with AWS services.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Proficiency in scripting languages (e.g., Bash, Python, or PowerShell)
• Solid understanding of Linux or Windows system administration
• Familiarity with AWS core services such as EC2, IAM, S3, and CloudWatch
• Basic coding knowledge (any language)
• Exposure to Agile, Scrum, or other software development methodologies
• Understanding of Continuous Integration/Continuous Deployment (CI/CD) principles
• Hands-on experience with at least one cloud platform environment (AWS preferred)

These prerequisites help learners build on existing technical skills to confidently apply DevOps tools and principles in real-world AWS projects.

Target Audience

The DevOps Engineering on AWS with JAM course is ideal for professionals aiming to master cloud-based DevOps practices and streamline software delivery, including:

• IT Professionals seeking DevOps roles
• Software Developers and Engineers
• Infrastructure Architects
• System Administrators and Operability Staff
• Cloud Engineers and DevOps Practitioners
• Candidates preparing for the AWS Certified DevOps Engineer exam
• Application Developers managing CI/CD in AWS
• Technical Project Managers and Cloud Consultants

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the DevOps Engineering on AWS with JAM course, learners will be able to:

• Understand the DevOps culture and AWS integration strategies
• Build and manage CI/CD pipelines using Jenkins, AWS CodePipeline, and Maven
• Deploy and manage infrastructure as code using AWS CloudFormation
• Automate application configuration with Ansible and AWS services
• Deploy scalable applications on AWS using Elastic Beanstalk
• Monitor application performance and logs using CloudWatch and X-Ray
• Implement secure DevOps practices and manage user access with IAM
• Optimize performance and reduce costs in cloud-based deployments
• Manage full DevOps lifecycles with JAM stack and AWS-native tools
• Apply best practices to real-world DevOps scenarios in AWS environments