Aws & Devops Engineer
Become a professional AWS Specialist DevOps Engineer
DevOps Features
DevOps integrates development and operations to streamline software delivery through automation and collaboration. Key features include Continuous Integration/Continuous Deployment (CI/CD) for faster releases, and Infrastructure as Code (IaC) for consistent, scalable environments. It emphasizes monitoring and logging to maintain system reliability and performance. Overall, DevOps enhances agility, reduces errors, and accelerates time to market.
Course Pre-Requisites
Basic computer knowledge is required for this course.
Creativity & Novelty
DevOps come from finding innovative ways to automate, scale, and optimize the software delivery lifecycle. This includes designing unique CI/CD pipelines, using AI/ML for predictive monitoring, and creating self-healing infrastructure.
Data Efficiency & Adaptability
DevOps enhances data efficiency through automated pipelines, efficient logging, and smart monitoring—reducing redundancy and speeding up feedback loops.
Automation
Automation in DevOps is the backbone that enables speed, consistency, and reliability across the software development lifecycle.
CURRICULLUM – MODULES
Introduction to Cloud and AWS
Module 1
- What is a cloud?
- What is AWS?
- The Well-Architected Framework
- AWS global infrastructure
- AWS Platforms and Services
- AWS Regions and Availability zones
- Cloud Economics
- Cloud Design Principle
AWS Identity and Access Management (IAM)
Module 2
- IAM Users, Groups, and Roles
- Policies & Permissions
- Amazon Cognito
- AWS Organizations
- AWS KMS (Key Management Services)
Compute Layer
Module 3
- EC2
- Instance type and families
- Amazon Elastic Beanstalk
- Amazon EBS
- Amazon EFS
Networking
Module 4
- Amazon Virtual Private Cloud (VPC)
- Subnets ,Route Tables,
- Gateways (Internet, NAT,Bastion)
- AWS Direct Connect
- VPC Endpoints
- Amazon CloudFront, Edge
- Amazon Route 53
- DNS concepts, Hosted zones and Record sets
Storage Services
Module 5
- Amazon S3
- Buckets, Policies, Access Control Lists
- S3 Features
- Amazon S3 Glacier
- Amazon Snowball
Database Layer
Module 6
- Comparing database types
- Amazon Relational Database Service (Amazon RDS)
- Amazon DynamoDB
- Snapshots, Read Replica, Multi-AZ deployments
Load Balancing & Auto Scaling
Module 7
- Understanding Elasticity
- Load Balancing
- Auto Scaling
Serverless Computing
Module 8
- lambda service
- event sources
- access permissions
- functions
- pricing
- limitations
- monitoring options
- lambda networking
- reserved and unreserved concurrency
- provisioned concurrency
- lambda containers
Getting Started with DevOps
Module 9
- Introduction to DevOps and its significance
- Key benefits of adopting DevOps
- Overview of the DevOps lifecycle
- Understanding the DevOps delivery pipeline
- Challenges in implementing DevOps practices
Mastering Version Control with Git
Module 10
- Understanding version control systems
- Installing and setting up Git
- Working with branches and resolving conflicts
- Using remote repositories effectively
- Best practices for Git workflows
Building Continuous Integration Pipelines with Jenkins
Module 11
- Introduction to Jenkins and its architecture
- Installing and configuring Jenkins for projects
- Creating and managing Jenkins pipelines
- Using Jenkins plugins and notifications
- Understanding master-slave architecture in Jenkins
Automating Builds with Maven
Module 12
- Introduction to build automation and Maven
- Setting up Maven projects for development
- Managing dependencies using Maven
- Integrating Maven with Jenkins for CI
- Best practices for build management
Streamlining Configuration Management with Ansible
Module 13
- Introduction to configuration management concepts
- Getting started with Ansible and its architecture
- Creating and running playbooks for automation
- Using roles and variables in Ansible
- Executing ad-hoc commands for quick tasks
Introduction to Containerization with Docker
Module 14
- Understanding containerization and Docker basics
- Exploring Docker architecture and CLI commands
- Building Docker images using Dockerfiles
- Managing the container lifecycle effectively
- Working with multi-container applications
Container Orchestration with Kubernetes
Module 15
- Introduction to Kubernetes and its core concepts
- Managing deployments, pods, and ReplicaSets
- Scaling applications with Kubernetes
- Working with services, ConfigMaps, and secrets
- Monitoring Kubernetes using Prometheus
Infrastructure as Code with Terraform
Module 16
- Introduction to Terraform and its benefits
- Comparing Terraform with Ansible
- Creating and managing infrastructure with Terraform
- Understanding Terraform state and resources
- Best practices for Terraform implementation
Enhancing Monitoring and Observability
Module 17
- Introduction to monitoring tools and techniques
- Setting up Prometheus and Grafana for metrics
- Building dashboards for data visualization
- Creating alerts and notifications for events
- Comprehensive pipeline monitoring strategies
Advanced CI/CD Pipeline Strategies
Module 18
- Designing multi-stage CI/CD pipelines
- Integrating pipelines with SAST and DAST tools
- Automating API testing in pipelines
- Creating reusable and parameterized pipelines
- Ensuring observability in CI/CD workflows
Leveraging Cloud for DevOps
Module 19
- Why cloud is essential for DevOps
- Introduction to AWS and cloud computing
- Implementing cloud-native DevOps practices
- Setting up CI/CD pipelines on AWS
- Managing cloud costs and optimizing resources
Advanced Docker Techniques
Module 20
- Using Docker volumes for persistent storage
- Setting up multi-container apps with Docker Compose
- Exploring Docker Swarm for orchestration
- Creating private Docker registries
- Troubleshooting Docker deployment issues
Deep Dive into Kubernetes
Module 21
- Managing stateful applications with StatefulSets
- Deploying apps with Helm charts
- Autoscaling applications with HPA
- Enhancing security with RBAC in Kubernetes
- Debugging and troubleshooting Kubernetes clusters
Integrating Security into DevOps (DevSecOps)
Module 22
- Introduction to DevSecOps and its importance
- Incorporating security into CI/CD workflows
- Setting up OWASP ZAP and SonarQube
- Secrets management in DevOps pipelines
- Using tools like Trivy for vulnerability scanning
Automation Testing with Selenium
Module 23
- Basics of automation testing and Selenium
- Creating test cases using Selenium WebDriver
- Working with XPath and web elements
- Integrating Selenium with Jenkins pipelines
- Automating testing workflows in DevOps
Capstone Project: End-to-End DevOps Implementation
Module 24
- Designing a comprehensive CI/CD pipeline
- Containerizing frontend and backend applications
- Deploying applications using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Documenting the entire project workflow
Tools Covered
Course Includes
LIVE Interactive Sessions
Quizzes, Assignments & Projects
Study Materials & Recordings
Certificate
Skills You Will Learn
- Understanding cloud concepts and AWS services.:
- Mastering Docker fundamentals for efficient application deployment.:
- Learning Kubernetes for managing containerized applications at scale.:
- Setting up continuous integration and continuous delivery pipelines for automating software delivery processes.:
- Configuring networking principles for communication between containers and services.:
- Implementing security measures to protect Jenkins and CI/CD pipelines.:
- Provisioning and managing compute instances and storage resources in AWS.:
- Setting up and managing databases using AWS RDS and DynamoDB.:
- Implementing load balancing and auto-scaling to ensure application availability and performance.:
- Understanding the differences between Docker Swarm and Kubernetes for container orchestration.:
