🎓 Enroll Today & Start Learning from Industry Experts
Devops Training
Master DevOps with hands-on training in CI/CD pipelines, Git, Docker, Kubernetes, Jenkins, cloud integration, automation, and real-time deployment projects to build industry-ready DevOps skills.
Hands-on AI projects with industry-oriented training
Placement support and certification guidance included
Course Duration
6 Weeks Intensive Program
Live Training
Instructor-led Online Training
Interactive live classes with expert trainers, practical learning, LMS access, and cloud labs.
Live mentor sessions
Dedicated lab access
Weekend batches
Self Paced
Recorded Video Training
Learn anytime with premium recorded sessions, downloadable resources, and flexible access.
Unlimited recordings
LMS access included
Flexible learning
Enterprise
Corporate Training
Team-oriented learning solutions with LMS integration, reporting, and enterprise support.
Team learning
Progress tracking
Dedicated support
Kasha Training
About The Course
DevOps is a cultural philosophy, set of practices, and collection of tools that bridges the gap between Software Development (Dev) and IT Operations (Ops) teams — enabling organizations to deliver applications and services at high velocity, with greater reliability, and improved quality compared to traditional software development and infrastructure management processes. DevOps combines people, processes, and technology to continuously deliver value to customers by breaking down the traditional silos between development, testing, operations, and security teams — fostering a culture of collaboration, shared responsibility, continuous improvement, and automation.
DevOps Training is a comprehensive learning program that teaches IT professionals, developers, system administrators, and QA engineers how to implement DevOps practices, tools, and methodologies in real-world enterprise environments.
Watch Preview
Watch Now
Benefits of Attending DevOps Training
- Extremely High Industry Demand— DevOps Engineers are among the most sought-after IT professionals globally, with job postings growing exponentially across all industries and geographies.
- Premium Salary Packages— DevOps Engineers command some of the highest salaries in the IT industry, with average compensation ranging from $110,000 to $160,000+ per year in developed markets.
- Accelerated Software Delivery— Learn practices that enable organizations to release software updates, features, and fixes 10x to 100x faster than traditional development approaches.
- End-to-End Technology Expertise— DevOps training gives you a broad and deep skill set spanning development, testing, operations, security, and cloud — making you an extremely versatile and valuable professional.
- Faster Career Advancement— DevOps professionals progress rapidly into senior engineering, architecture, and leadership roles due to their cross-functional expertise and high business impact.
- Certification Readiness— Training prepares you for globally recognized certifications including AWS DevOps Engineer, Docker Certified Associate, Certified Kubernetes Administrator (CKA), and Jenkins Engineer.
- Cloud Computing Mastery— Gain practical expertise in integrating DevOps workflows with major cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform.
- Automation Expertise— Master the art of automating repetitive infrastructure and deployment tasks, dramatically reducing human error and operational overhead.
- Improved Collaboration Skills— DevOps training fosters a mindset of cross-functional collaboration, communication, and shared ownership that is valued by every modern organization.
- Security Integration (DevSecOps)— Learn to embed security practices directly into the DevOps pipeline, a critical and increasingly demanded skill in the industry.
- Cross-Industry Applicability— DevOps practices are adopted across banking, e-commerce, healthcare, telecom, media, retail, and government sectors worldwide.
- Future-Proof Career— As cloud adoption, microservices, and digital transformation continue to accelerate, DevOps expertise remains one of the most future-proof and recession-resistant skill sets in IT.
. Key Features of DevOps Training
DevOps Fundamentals – Learn core DevOps principles, culture, practices, and the transition from traditional IT operations to modern DevOps workflows.
● Git & Version Control – Master Git commands, branching, merging, pull requests, and collaborative development using GitHub and GitLab.
● Continuous Integration (CI) – Automate code integration, builds, and testing to ensure faster development and higher code quality.
● Jenkins – Implement automated CI/CD pipelines using the industry-leading Jenkins automation server.
● GitLab CI/CD – Build and manage complete software delivery pipelines within the GitLab DevOps platform.
● GitHub Actions – Automate development workflows, testing, and deployments directly from GitHub repositories.
● Docker & Containerization – Package applications and dependencies into lightweight, portable containers for consistent deployments.
● Kubernetes (K8s) – Orchestrate, scale, and manage containerized applications efficiently across multiple environments.
● Terraform – Use Infrastructure as Code (IaC) to provision and manage cloud resources across AWS, Azure, and Google Cloud.
● Ansible – Automate configuration management, application deployment, and infrastructure provisioning using agentless automation.
● AWS DevOps Integration – Implement DevOps solutions using AWS services such as CodePipeline, CodeBuild, CodeDeploy, and CodeCommit.
● Prometheus & Grafana – Set up real-time monitoring, alerting, and performance dashboards for applications and infrastructure.
● ELK Stack – Centralize logging and analyze system logs using Elasticsearch, Logstash, and Kibana.
● Continuous Delivery (CD) – Automate software release processes to ensure applications remain deployment-ready at all times.
● Continuous Deployment – Automatically deploy validated code changes to production environments with minimal manual intervention.
● Microservices Architecture – Learn how to design, deploy, monitor, and manage microservices-based applications in DevOps ecosystems.
● CI/CD Pipeline Design – Build end-to-end automated pipelines for code integration, testing, deployment, and monitoring.
● Cloud-Native DevOps – Understand modern DevOps practices for cloud platforms, containers, and scalable infrastructure.
● Security in DevOps (DevSecOps) – Integrate security practices into CI/CD pipelines and infrastructure management processes.
● Real-Time Project Experience – Gain hands-on experience by implementing complete DevOps workflows on real-world enterprise applications.
Our Programs
Course Curriculum
08
Units
24
Lessons
65h
Total Duration
18
Testing Labs
4
Projects
01
Free Preview
Establish your DevOps foundations. Explore the core collaboration cultures, master structural virtualization architectures, and dive into fundamental networking paradigms required for system delivery.
DevOps concepts, culture and necessities
Video
90 min
Virtualization Fundamentals & Hypervisors
Video
120 min
Lab: Networking essentials & VPC Configurations
Lab
180 min
02
Core
Implement robust continuous integration pipelines. Handle code changes effectively using advanced revision trees and coordinate automated compiling architectures.
Revision control with SVN and GIT
Video
120 min
Build Management with Ant/Maven
Video
180 min
Lab: Continuous integration with Jenkins pipelines
Lab
240 min
03
Core
Deploy high-availability application architectures. Learn server orchestration patterns and route web traffic seamlessly across distributed multi-node target clusters.
Apache/Nginx Web Server Configuration
Video
120 min
Lab: Reverse Proxy and Load balancing with Haproxy
Lab
240 min
04
Advanced
Establish Infrastructure as Code state frameworks. Standardize cluster definitions, eliminate environment drift, and handle declarative state files efficiently.
Configuration Management with Puppet
Video
150 min
Introduction to Chef fundamentals
Video
120 min
Lab: Provisioning nodes with automated manifests
Lab
180 min
05
Advanced
Write enterprise automation logic. Master core terminal task programming alongside data processing languages to orchestrate complex operations.
Python basics for System Engineers
Video
120 min
BASH scripting & Task automation
Video
120 min
Lab: Writing maintenance & deployment scripts
Lab
240 min
06
Pro
Isolate application dependency trees using modern container runtimes. Set up enterprise health observability stacks and build custom alerting integrations.
Understanding containers with Docker
Video
180 min
Monitoring ecosystem with Nagios
Video
120 min
Writing custom Nagios plugins
Video
90 min
Lab: Building Dockerfiles & Active Node Alerts
Lab
240 min
07
Pro
Harden and balance production instances. Deep dive into system kernel flag adjustment parameters, infrastructure shield design, and data store scaling.
Performance tuning parameters & Kernel Optimizations
Video
180 min
Server security, network rules and firewalls
Video
180 min
Lab: Relational and NoSQL Database concepts
Lab
300 min
08
Pro
Utilize advanced sysadmin debugging commands. Apply your knowledge by shipping a complete pipeline architecture for application environments utilizing customized outputs.
DevOps Linux utilities masterclass
Video
150 min
Project Color Expressions Engine Deployment
Video
180 min
Project: Complete Multi-Tier Infrastructure Integration
Project
360 min
Our Programs
Feedback from our Participants
What our DevOps Engineering students are saying
Configuring multi-branch Git workflows and orchestrating continuous integration pipelines inside Jenkins gave me the hands-on mastery I needed to pass my interviews.
The deep-dive into Docker isolation layers, Nginx caching, and HAProxy edge load balancing was phenomenal. Implementing high-availability routing feels completely natural now.
The automation modules—specifically writing custom core BASH handlers and regex parsing scripts—helped us migrate legacy systems cleanly. Absolute goldmine for real-world tasks.
Mastering Puppet state files and writing Chef configuration cookbooks provided a clean framework for infrastructure state management. No more system drift configurations.
The hands-on lessons tracking server health parameters using Nagios and building firewall configurations made the complex systems metrics clear and actionable.
Our Programs
Frequently Asked Questions
No questions match your search.
Try a different keyword or browse by category.
What continuous integration models and build pipelines are covered?
This course explores the architecture of advanced build delivery systems. We analyze continuous integration workflows within Jenkins, ensuring you understand multi-branch setups, automated triggers, and build step execution strategies for enterprise software environments.
Is there a focus on Git branch management and workflow policies?
Yes. The curriculum provides exhaustive coverage of source control management: Git Workflows (Feature branching, Gitflow, release branches) and delivery architectures (commit management, pull request gating, conflict resolution mechanisms, and fast-forward merge strategies).
Will I practice building continuous compilation jobs?
Absolutely. You will learn the entire artifact assembly process, from tracking the source repository state and designing build configurations to executing targeted compilations and compiling clean system builds.
What isolation methods are taught for containerized applications?
This segment covers container runtimes and application scoping. You will configure and containerize applications by learning runtime characteristics, utilizing Docker Isolation Layers, managing multi-tier container layers, and establishing network abstraction paths across target virtual topologies.
How are web layer routing and load balancing addressed?
We teach you the complete proxy management structure: Nginx request handling, caching rules, and HAProxy load balancing policies. You will learn traffic balancing, failover routing, and setup mechanisms to handle scalable traffic processing over cluster configurations.
What scripting environments are used for host system automation?
The program focuses directly on native platform scripting. You will master standard shell controls by writing custom execution scripts inside BASH environments, handling environment parameters, and driving core terminal automation patterns across target server hosts.
How do we filter system logs and parse text datasets?
Text pipeline parsing is continuous. You will implement stream filters using utility expressions like regex matching engines, sed replacements, and awk data extractions to parse massive raw logs into clean metric datasets.
When and how do we monitor server performance metrics?
Performance observation is critical following any service distribution or node shift. We teach you to track runtime health, resource load parameters, and daemon conditions utilizing Nagios tracking architectures to maintain stable infrastructure lifetimes.
What configuration frameworks are covered for configuration management?
This category focuses on platform provisioning engines. You will master host definitions across environments by implementing Puppet manifest files and Chef configuration cookbooks, driving declarative architecture rules across server layers.
How do we enforce security settings on node boundaries?
We provide extensive material on infrastructure protective engineering. You will learn port shielding configurations, packet policy controls, and how to execute targeted firewall policy scripts to prevent systemic drifts and vulnerabilities across systems.