Overview
About this course
The DevOps approach focuses on automation, collaboration, continuous integration, continuous delivery, and monitoring to ensure high-quality software delivery in modern cloud environments.
Course Details
At a glance
Mode
Online
Duration
4 months
Prerequisites
Requirements
Basic understanding of operating systems
Basic networking knowledge
Fundamental understanding of programming concepts
Basic knowledge of Linux or command line
Familiarity with software development lifecycle
Learning Outcomes
What you'll learn
Understand DevOps lifecycle and workflow
Implement CI/CD pipelines
Manage Linux servers for DevOps environments
Use Git and GitHub for version control
Build and manage Docker containers
Deploy applications using Kubernetes
Implement cloud infrastructure on AWS
Confi gure monitoring and logging systems
Automate DevOps tasks using Python
Implement scalable cloud-native DevOps architectures
Curriculum
Course curriculum
Software Development Life Cycle (SDLC)
Waterfall vs Agile methodologies
DevOps concepts and philosophy
DevOps lifecycle stages
Continuous Integration (CI)
Continuous Delivery (CD)
DevOps pipeline workflow
DevOps culture and collaboration
DevOps tools ecosystem overview
Introduction to Linux operating system
Linux installation and environment setup
Linux command-line fundamentals
Linux fi le system architecture
File permissions and ownership
Storage and disk management
User and group management
Log monitoring and system diagnostics
Cron jobs for task automation
Bash scripting fundamentals
Virtualization using VMware Workstation and VirtualBox Module
Introduction to version control systems
Centralized vs distributed version control
Installing Git on Windows and Linux
Git confi guration and setup
Creating repositories
Git commit workfl ow
Git branching strategies
Git merge and confl ict resolution
Git tagging for release management
Git stash for temporary changes
Git revert and reset
Git diff and change analysis
Git clone and remote repositories
Securing repositories with SSH keys
Git logs and repository history
Integrating Git with CI/CD pipelines
Introduction to Docker architecture
Installing Docker on Linux
Docker images and containers
Dockerfi le creation
Docker image management
Container lifecycle management
Docker registry usage
Docker networking
Docker volumes for persistent storage
Docker Compose for multi-container applications
Docker Swarm clustering
Docker service deployment
Docker high availability confi guration
Container vs virtual machines
Integrating Docker with CI/CD pipelines
Cloud computing fundamentals
Cloud service models (IaaS, PaaS, SaaS)
Public vs private vs hybrid cloud
AWS global infrastructure
AWS Identity and Access Management (IAM)
EC2 instance management
Elastic Load Balancers
Auto Scaling groups
Amazon Machine Images (AMI)
Amazon VPC networking
Storage services (S3, EBS)
Route 53 DNS management
AWS security groups
Virtualization technologies in AWS
Kubernetes architecture overview
Kubernetes cluster setup
Kubernetes components
Pods and pod lifecycle
ReplicaSets and deployments
Kubernetes services and networking
YAML configuration files
Namespaces and resource management
Rolling updates and scaling
DaemonSets for background tasks
Kubernetes storage management
Kubernetes troubleshooting techniques
Cluster monitoring and log analysis
Introduction to monitoring systems
Prometheus architecture
Installing Prometheus
Metrics collection
Prometheus alerting system
Grafana dashboard configuration
Data visualization techniques
Monitoring CI/CD pipelines
Integrating Prometheus with Grafana
Configure Prometheus monitoring
Create alerts and notification rules
Build Grafana dashboards
Monitor infrastructure performance
Nagios installation and configuration
Nagios architecture
Monitoring Linux and Windows servers
Plugin management
System health monitoring
Notification configuration
Auto discovery jobs
Scheduling downtime for maintenance
Python data types and variables ● ● ●
Python operators and expressions
Control flow statements
Conditional statements
Loops and iteration
Writing Python functions
Code modularization
Python closures and decorators
Automation scripting for DevOps tasks
Linux server configuration
Git repository management
Docker container deployment
AWS cloud infrastructure setup
Kubernetes application deployment
Prometheus monitoring configuration
CI/CD pipeline automation
Python automation scripts
Student Feedback
What learners say
4.0
1 reviews
M
Muhammad Fasihullah
DevOps Engineer
1 month ago
Overall it was good
Limited Offer
Enquire
Mode
Online
Duration
4 months
Language
English , Urdu
Level
Beginner
Course Includes
Certificate of Completion
Lifetime Access
24/7 Support
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