This instructor-led program focuses on CI/CD pipelines, infrastructure automation, container services, monitoring, logging, security, and deployment strategies using AWS native tools.
Overview
AWS DevOps Training by AcadNXT is designed to provide participants with practical, hands-on expertise in implementing DevOps practices using Amazon Web Services (AWS). This instructor-led program focuses on CI/CD pipelines, infrastructure automation, container services, monitoring, logging, security, and deployment strategies using AWS native tools. Participants will learn how to design and implement scalable, automated cloud infrastructure and delivery pipelines using services such as AWS CodePipeline, CodeBuild, CodeDeploy, EC2, S3, IAM, CloudWatch, and Elastic Container Service concepts. The course is ideal for DevOps engineers, cloud engineers, and IT professionals working in AWS environments.
Learning Outcomes
โข Build CI/CD pipelines using AWS tools
โข Deploy applications using CodeDeploy and EC2
โข Implement infrastructure automation on AWS
โข Configure monitoring and logging using CloudWatch
โข Manage IAM roles and security policies
โข Work with containers on AWS
โข Apply DevOps best practices in cloud environments
โข Design scalable AWS deployment workflows
Duration & Delivery Mode
21 hours
Target Audience
โข DevOps Engineers
โข Cloud Engineers
โข System Administrators
โข Site Reliability Engineers (SREs)
โข Build and Release Engineers
โข Software Developers
โข IT Operations Teams
โข Infrastructure Engineers
Pre-requisites
โข Basic understanding of Linux/Unix systems
โข Familiarity with cloud computing concepts
โข Basic knowledge of Git version control
โข Understanding of software development lifecycle (SDLC)
โข Awareness of AWS fundamentals is helpful
Skillset Achieved
โข Designing CI/CD pipelines using AWS services
โข Implementing infrastructure automation on AWS
โข Managing AWS IAM roles and security policies
โข Using AWS CodePipeline, CodeBuild, and CodeDeploy
โข Deploying applications on EC2 and container services
โข Monitoring applications using CloudWatch
โข Managing logs and alerts in AWS environment
โข Automating deployments using AWS-native tools
โข Building scalable cloud infrastructure workflows
โข Applying DevOps best practices on AWS
Course Outcome
After completing the AWS DevOps Training, participants will be able to design and implement end-to-end DevOps solutions on AWS. Learners will gain practical expertise in CI/CD automation, infrastructure provisioning, container deployment, monitoring, and cloud-native DevOps practices.
Course Outline
Introduction to AWS DevOps
โข Overview of DevOps on AWS
โข AWS global infrastructure and services overview
โข IAM roles, users, and security basics
โข EC2 instances and deployment fundamentals
โข S3 storage and artifact management
CI/CD with AWS Native Tools
โข Introduction to AWS CodePipeline
โข AWS CodeBuild setup and configuration
โข AWS CodeDeploy deployment strategies
โข Build and deployment automation flow
โข Git integration with AWS pipelines
Infrastructure Basics on AWS
โข Virtual machines (EC2) management
โข Elastic Load Balancer basics
โข Auto Scaling concepts
โข Networking fundamentals (VPC overview)
โข Environment setup for deployments
Advanced CI/CD and Automation
โข Multi-stage pipeline design
โข Blue/Green deployment strategies
โข Rolling deployments on AWS
โข Artifact versioning and release management
โข Pipeline troubleshooting techniques
Monitoring, Logging, and Security
โข AWS CloudWatch monitoring
โข Log management and dashboards
โข Alerts and notifications setup
โข IAM security best practices
โข Secure deployment strategies
Container Basics on AWS
โข Introduction to Docker on AWS
โข AWS ECS/EKS overview
โข Container deployment basics
โข Image management using ECR
โข Containerized application workflow
Infrastructure as Code and Automation
โข Introduction to CloudFormation
โข Infrastructure provisioning automation
โข Environment replication strategies
โข Configuration management concepts
โข Automated infrastructure deployment
DevOps Best Practices on AWS
โข Scalability and high availability design
โข Cost optimization strategies
โข Disaster recovery basics
โข Performance tuning in AWS
โข Production readiness checklist
Mini Project and Practical Implementation
โข Building complete AWS CI/CD pipeline
โข Deploying application using CodePipeline
โข Configuring monitoring and alerts
โข Implementing deployment strategies
โข Final project review and optimization
Assessment Topics
โข AWS DevOps fundamentals
โข CodePipeline, CodeBuild, CodeDeploy
โข EC2 and infrastructure management
โข CloudWatch monitoring and logging
โข IAM security and permissions
โข Container services overview (ECS/ECR/EKS)
โข Infrastructure as Code basics
โข Mini project implementation
Evaluation
โข AWS CI/CD pipeline implementation exercises
โข Infrastructure provisioning tasks
โข Deployment automation assignments
โข Monitoring and logging configuration activities
โข Mini project development and evaluation
โข Troubleshooting and optimization scenarios
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training will receive an AcadNXT Certification in AWS DevOps Training, validating their expertise in AWS CI/CD pipelines, infrastructure automation, cloud deployment, monitoring, and enterprise DevOps practices.
Enroll Now
WHO WILL BE FUNDING THE COURSE?
What Our Students Say
โThe training gave me strong practical exposure to AWS CI/CD tools and deployment automation.โ
โThis course helped me understand CodePipeline and CloudWatch in a very structured way.โ
โThe instructor explained AWS deployment workflows and automation clearly with real examples.โ
โI gained confidence in managing DevOps workflows on AWS.โ
โAcadNXT delivered a highly structured AWS DevOps program that significantly improved our cloud delivery capabilities.โ