DevOps with AWS Certification Training Program
This comprehensive DevOps with AWS training program is designed for students, software developers, system administrators, cloud engineers, and IT professionals who want to build expertise in modern software delivery, cloud infrastructure automation, CI/CD pipelines, containerization, orchestration, and Infrastructure as Code.
The course provides extensive hands-on experience through real-world projects and industry-standard tools used by leading organizations worldwide. By the end of the program, participants will be able to design, automate, deploy, monitor, and manage scalable cloud-native applications using DevOps best practices and AWS services.
What You Will Learn
The program covers the complete software delivery lifecycle, from source code management to automated deployment and cloud infrastructure management.
Students will gain practical experience in:
- Version control and collaborative development
- Linux administration and shell scripting
- Build automation and dependency management
- Continuous Integration and Continuous Deployment (CI/CD)
- Code quality and security analysis
- Containerization using Docker
- Container orchestration using Kubernetes
- Configuration management using Ansible
- Infrastructure as Code using Terraform
- AWS cloud architecture and deployment
- Serverless application development
- Monitoring, logging, and cloud security
- Production deployment strategies and DevOps best practices
Module 1: Linux Administration
Linux forms the foundation of modern cloud and DevOps environments. In this module, students will learn:
- Linux architecture and file systems
- User and permission management
- Process management
- Package installation and administration
- Networking fundamentals
- System monitoring and troubleshooting
- Service management
- Log analysis
Practical exercises include configuring Linux servers, managing users, troubleshooting services, and automating administrative tasks.
Module 2: Shell Scripting
Automation is a key component of DevOps. This module teaches students how to automate repetitive tasks using shell scripting.
Topics include:
- Variables and data types
- Conditional statements
- Loops and functions
- File handling
- Process automation
- Cron jobs and scheduling
- Script debugging techniques
Hands-on projects focus on automating server administration and deployment activities.
Module 3: Git and Version Control
Learn how development teams collaborate efficiently using Git.
Topics include:
- Git architecture
- Repository management
- Branching strategies
- Merge and rebase concepts
- Pull requests
- Conflict resolution
- Git workflows used in enterprise projects
Students will work with real project repositories and follow industry-standard development practices.
Module 4: Build and Release Management
This module focuses on automating application builds and release processes.
Maven for Java Applications
- Project structure
- Dependency management
- Build lifecycle
- Packaging applications
- Artifact creation
Java Build and Release Process
- Source code compilation
- Automated testing
- Build pipelines
- Artifact repositories
- Deployment workflows
Node.js Build and Release
- Package management
- Build automation
- Deployment preparation
- Release pipelines
Students will learn how modern organizations package and release applications efficiently.
Module 5: Code Quality and Security
SonarQube
Learn how organizations maintain code quality and identify vulnerabilities before deployment.
Topics include:
- Static code analysis
- Quality gates
- Technical debt management
- Security vulnerability detection
- Code coverage reports
Students will integrate SonarQube into CI/CD pipelines.
Module 6: Continuous Integration with Jenkins
Jenkins is one of the most widely used CI/CD automation platforms.
Topics covered:
- Jenkins architecture
- Installation and configuration
- Pipeline creation
- Declarative pipelines
- Integration with Git
- Build automation
- Automated testing
- Deployment workflows
- Pipeline security
Students will build complete CI/CD pipelines from scratch.
Module 7: Application Deployment with Tomcat
Learn deployment and management of Java web applications.
Topics include:
- Tomcat architecture
- Server configuration
- WAR deployment
- Performance tuning
- Application management
- Troubleshooting deployment issues
Module 8: Docker Containerization
Docker enables applications to run consistently across environments.
Topics include:
- Container fundamentals
- Docker architecture
- Images and containers
- Dockerfile creation
- Image optimization
- Docker Compose
- Networking and volumes
- Container security
Students will containerize enterprise applications and deploy them in real-world scenarios.
Module 9: Kubernetes Orchestration
Kubernetes is the industry standard for container orchestration.
Topics include:
- Kubernetes architecture
- Pods and deployments
- ReplicaSets
- Services and networking
- ConfigMaps and Secrets
- Stateful applications
- Ingress controllers
- Scaling applications
- Cluster management
Students will deploy, scale, and manage applications in Kubernetes environments.
Module 10: Configuration Management with Ansible
Automate infrastructure management and server configuration.
Topics include:
- Ansible architecture
- Inventory management
- Playbooks
- Roles and modules
- Configuration automation
- Application deployment
- Infrastructure provisioning
Students will automate complete server environments using Ansible.
Module 11: Infrastructure as Code with Terraform
Learn how to provision cloud infrastructure using code.
Topics include:
- Terraform fundamentals
- Providers and resources
- State management
- Modules
- Variables and outputs
- Infrastructure automation
- Multi-environment deployments
Students will provision AWS infrastructure entirely through code.
Module 12: AWS Cloud Fundamentals
Learn core AWS services used in cloud-native architectures.
Compute Services
- EC2
- Auto Scaling
- Load Balancers
Storage Services
- S3
- Storage Management
Networking
- VPC
- Route 53
Security
- IAM
- Identity and Access Management
Databases
- RDS
- DynamoDB
Students will build secure, scalable, and highly available cloud architectures.
Module 13: Advanced AWS Services
Master advanced AWS services commonly used in enterprise cloud environments.
Serverless Computing
- AWS Lambda
- API Gateway
Messaging Services
- SNS
- SQS
- SES
Monitoring and Governance
- CloudWatch
- CloudTrail
Content Delivery
- CloudFront
Container Services
- ECS
- ECR
Application Deployment
- Elastic Beanstalk
- CloudFormation
Authentication
- Amazon Cognito
Students will build event-driven and serverless architectures using AWS services.
Azure DevOps Module (Optional Track)
Students interested in multi-cloud DevOps environments can also learn Azure DevOps services.
Topics include:
- Azure Boards
- Azure Pipelines
- Azure Repos
- Azure DevOps workflows
This module helps learners understand DevOps implementation in Microsoft Azure environments.
Real-Time Project Implementation
Throughout the course, students work on real-world DevOps projects that simulate enterprise environments.
Projects include:
- End-to-end CI/CD pipeline implementation
- Cloud infrastructure automation
- Docker and Kubernetes deployment
- AWS production environment setup
- Infrastructure provisioning with Terraform
- Automated configuration management
- Monitoring and logging implementation
Career Opportunities After Completion
After successfully completing the program, students can pursue roles such as:
- DevOps Engineer
- AWS Cloud Engineer
- Site Reliability Engineer (SRE)
- Cloud Operations Engineer
- Platform Engineer
- Release Engineer
- Build and Deployment Engineer
- Infrastructure Automation Engineer
- Kubernetes Administrator
- Cloud Solutions Engineer
Prerequisites
This course is suitable for:
- Freshers looking to enter Cloud and DevOps careers
- Software Developers
- System Administrators
- Technical Support Engineers
- Network Engineers
- Cloud Enthusiasts
- IT Professionals transitioning into DevOps
No prior cloud experience is required. Basic knowledge of operating systems and programming concepts is beneficial but not mandatory.
Training Highlights
- Industry-oriented curriculum
- Hands-on practical sessions
- Real-time project implementation
- CI/CD pipeline development
- AWS cloud deployment experience
- Infrastructure as Code practices
- Containerization and orchestration training
- Interview preparation support
- Resume-building guidance
- Job-oriented training approach