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DevOps Certification Training in Dehradun
DevOps Certification Training in Dehradun
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Live Online Classes starting on 5th Jul 2025
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Why enroll for DevOps Certification Training in Dehradun?
DevOps Training Benefits in Dehradun
The global DevOps market is projected to grow from USD 16.08 billion in 2025 to USD 44.06 billion by 2030, at a CAGR of 22.34%. As organizations adopt DevOps practices, demand for skilled professionals is rising and our DevOps Certification Training equips you with the skills to excel in this evolving field and prepares you for a successful career in the dynamic DevOps domain.
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Why DevOps Certification Training from edureka in Dehradun
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
About your DevOps Certification Training
DevOps Skills Covered in Dehradun
DevOps Tools Covered in Dehradun
DevOps Course Curriculum in Dehradun
Curriculum Designed by Experts
Through the DevOps training in Dehradun with Edureka, you will learn the processes and principles that define, govern, and dictate DevOps. In this Devops certification in Dehradun you will learn all the techniques that are involved in continuous development, integration, and deployment of projects using DevOps and its tools. Further, you can streamline the workflow, inter-team communication, feedback loops using DevOps principles and automation. These skills will also make it easier to manage, measure, and monitor projects as they move towards complete development. DevOps course in Dehradun powered by Edureka will act as the stepping stone for your future success!
DevOps Fundamentals and CI/CD Overview
10 Topics
Topics
- Evolution of software development methodologies
- DevOps culture and organizational impact
- Core DevOps principles: collaboration, automation, measurement, sharing
- Key DevOps practices and lifecycle
- DevOps reference architectures and implementation strategies
- Overview of CI/CD pipelines
- Value stream mapping and process optimization
- Introduction to DevOps toolchain
- AI-driven automation concepts in DevOps (e.g., predictive analytics for bottleneck identification)
- Industry case studies of successful DevOps transformations
![skill]( "Hands On Experience")
- Assessment of current workflow bottlenecks and improvement opportunities
- Value Stream Mapping exercise to identify waste in the software delivery pipeline
- Setting up a basic CI pipeline structure diagram
- Tool exploration and environment setup for subsequent modules
![skill]( "skill you will learn")
- Understanding DevOps culture and CI/CD principles
- Mapping and optimizing delivery workflows
- Applying AI for workflow automation and predictive analytics
Version Control with Git and GitHub
9 Topics
Topics
- Git architecture and core concepts
- Repository management and Git commands
- Branching strategies: GitFlow, GitHub Flow, Trunk-based development
- Pull requests and code review processes
- Merge conflict resolution techniques
- Git hooks for automation
- GitHub Actions introduction
- AI-powered code review with GitHub Copilot
- Repository security best practices
![skill]( "Hands On Experience")
- Create and manage branches, resolve conflicts
- Configure protected branches and access controls
- Build a simple GitHub Actions workflow
- Set up GitHub repositories with automated code review workflows using AI tools
- Resolve merge conflicts with AI-assisted suggestions
![skill]( "skill you will learn")
- Mastering Git workflows and resolving merge conflicts
- Collaborating via GitHub and managing repository security
- Using AI tools for automated code reviews and suggestions
Continuous Integration with Jenkins
10 Topics
Topics
- Jenkins architecture and components
- Jenkins installation and configuration
- Pipeline as Code with Jenkinsfile
- Jenkins plugins ecosystem
- Parameterized builds and triggers
- Automated testing and static code analysis
- Pipeline optimization techniques
- Jenkins security and credentials management
- Multi-branch and pipeline visualization
- AI-driven test selection and deployment risk analysis
![skill]( "Hands On Experience")
- Installing and configuring the Jenkins server
- Creating declarative and scripted pipelines
- Configuring build triggers and webhooks with Git repositories
- Setting up automated testing in the CI pipeline
- Implementing pipeline visualization
- Secure Jenkins with role-based access control
- Debugging pipeline failures
- Configure Jenkins pipelines with AI-based test case prioritization tools (e.g., Testim.io)
- Implement predictive analytics for deployment success rates
![skill]( "skill you will learn")
- Designing CI pipelines with Jenkins and Jenkinsfile
- Automating testing and integrating static code analysis
- Leveraging AI for test case prioritization and pipeline optimization
Infrastructure as Code (IaC) with Terraform and CloudFormation
10 Topics
Topics
- IaC concepts and benefits
- Terraform basics: HCL, providers, state management
- AWS CloudFormation fundamentals
- State management in Terraform
- Modules, variables, and outputs
- Security in IaC: secrets management and policy enforcement
- Testing infrastructure code
- AI-assisted code generation using HashiCorp Waypoint AI and Tabnine
- Anomaly detection in infrastructure metrics
- Resource cost prediction and optimization using ML models (e.g., AWS Forecast)
![skill]( "Hands On Experience")
- Write Terraform scripts to provision AWS resources
- Create CloudFormation templates for infrastructure
- Manage Terraform state and remote backends
- Integrating Terraform with CI/CD pipeline
- Security scanning for infrastructure code
- Infrastructure testing with Terratest
- Write Terraform scripts with AI-generated suggestions for optimization
- Use AI models to predict resource allocation needs in cloud environments
![skill]( "skill you will learn")
- Writing and managing reusable Terraform and CloudFormation templates
- Integrating IaC into CI/CD workflows
- Using AI to auto-generate, validate, and optimize IaC scripts
Configuration Management with Ansible
11 Topics
Topics
- Configuration management concepts and tools
- Ansible architecture and components
- YAML syntax for Ansible
- Playbooks, roles, and inventories
- Variables, templates, and conditionals
- Ansible Vault for secrets
- Error handling and idempotency
- Ansible integration with CI/CD tools
- AI-assisted playbook generation using tools like GitHub Copilot, Tabnine, or CodeWhisperer
- Natural Language to YAML: Prompt-to-playbook using LLMs (e.g., OpenAI, Codex)
- Self-healing scripts with AI triggers and remediation logic
![skill]( "Hands On Experience")
- Writing and executing basic Ansible playbooks
- Developing reusable Ansible roles
- Create roles for modular automation
- Implementing secret management with Ansible Vault
- Creating dynamic inventories
- Trigger Ansible playbooks from Jenkins
- Use GitHub Copilot or CodeWhisperer for assisted playbook authoring
![skill]( "skill you will learn")
- Creating and organizing Ansible playbooks and roles
- Managing secrets securely with Ansible Vault
- Using AI for playbook generation and self-healing logic implementation
Containerization with Docker
10 Topics
Topics
- Container concepts and Docker architecture
- Dockerfile syntax and best practices
- Image layering and optimization
- Docker networking models
- Volume management and data persistence
- Docker Compose for multi-container apps
- Container registries and image scanning
- Runtime security and resource limits
- AI-based image scanning (e.g., Trivy) for security vulnerabilities
- AI-based Dockerfile generation using tools like GitHub Copilot, Tabnine, or Codex
![skill]( "Hands On Experience")
- Create Dockerfiles and build images
- Building, tagging, and pushing images to registries
- Deploy multi-container apps with Docker Compose
- Deploy multi-container apps with Docker Compose
- Integrating Docker builds in the CI pipeline
- Scan images for vulnerabilities using Trivy
- Create Dockerfiles with AI-generated optimizations for performance improvements.
![skill]( "skill you will learn")
- Building and optimizing Docker images and Dockerfiles
- Managing container lifecycle with Compose and registries
- Using AI for vulnerability scanning and Dockerfile optimization
Container Orchestration with Kubernetes
10 Topics
Topics
- Kubernetes architecture and core components
- Pods, ReplicaSets, Deployments, and DaemonSets
- Kubernetes Services: ClusterIP, NodePort, LoadBalancer
- ConfigMaps, Secrets, and Environment Configuration
- Namespaces and RBAC for multi-tenancy and security
- Kubernetes CLI (kubectl) for cluster management
- Pod lifecycle management and scaling strategies
- Rolling updates, rollbacks, and deployment strategies
- AI-assisted Deployment Strategies
- Using AI to Analyze Pod Health and Recommend Restarts or Scaling
![skill]( "Hands On Experience")
- Set up a Minikube or Kind cluster
- Deploy sample applications using YAML manifests
- Use kubectl for managing Pods, Services, and Deployments
- Implement rolling updates and scale applications
- Manage secrets and config using ConfigMaps and Secrets
- Apply RBAC policies to restrict access by role and namespace
- Integrate a simple AI script to monitor pod resource usage and recommend scaling
- Simulate and deploy a predictive health-check model for early pod failure detection
![skill]( "skill you will learn")
- Managing deployments, updates, and scaling in Kubernetes
- Securing workloads with RBAC and secrets
- Integrating AI to monitor pod health and recommend scaling actions
Kubernetes Networking, Storage, and Advanced Tooling
10 Topics
Topics
- Labels, Selectors, Annotations, and Service Discovery
- Types of Services: ClusterIP, NodePort, LoadBalancer, Headless
- Persistent Volumes (PVs), Persistent Volume Claims (PVCs), Storage Classes
- Ephemeral vs. Projected Volumes and Access Modes
- StatefulSets for stateful workloads
- Helm: Kubernetes package manager and Helm Charts
- Prometheus setup and metrics scraping for Pods, Nodes, and Deployments
- Grafana dashboards for monitoring Kubernetes environments
- Alerting with Grafana and using Prometheus exporters
- Security best practices and Pod Security Policies
![skill]( "Hands On Experience")
- Deploy Services and explore networking with demonstrations
- Create and mount Persistent Volumes and use PVCs
- Deploy stateful applications with StatefulSets
- Use Helm to deploy pre-packaged applications
- Install Prometheus and Grafana for monitoring
- Create dashboards and set alerts based on Kubernetes metrics
![skill]( "skill you will learn")
- Configuring persistent storage and Kubernetes Services
- Deploying applications using Helm charts
- Visualizing cluster performance with Prometheus and Grafana
Monitoring and Logging with Prometheus, Grafana, and ELK Stack
10 Topics
Topics
- Monitoring principles and the four golden signals
- Prometheus architecture and data model
- Prometheus setup and PromQL queries
- Grafana dashboard creation
- ELK Stack components (Elasticsearch, Logstash, Kibana)
- Log aggregation strategies
- Alerting and notification configuration
- SLIs, SLOs, and SLAs
- Performance analysis techniques
- Distributed tracing concepts
![skill]( "Hands On Experience")
- Setting up Prometheus and Grafana for application monitoring
- Implementing custom metrics in applications
- Designing comprehensive Grafana dashboards
- Configuring the ELK Stack for log aggregation
- Creating logging pipelines with Logstash
- Implementing alerting rules and notification channels
- Log querying and analysis in Kibana
- Monitoring infrastructure and application health
- Use OpenAI to classify log messages and flag potential errors
![skill]( "skill you will learn")
- Setting up monitoring and log aggregation pipelines
- Creating actionable Grafana dashboards and alerts
- Applying AI for anomaly detection in metrics and logs
DevSecOps: Security Integration in DevOps Pipelines
11 Topics
Topics
- Security as Code concept
- DevSecOps principles and implementation approaches
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software composition analysis (SCA)
- Container and infrastructure security scanning
- Secrets management (HashiCorp Vault, AWS Secrets Manager)
- Security policy as code (OPA, Kyverno)
- Compliance as Code
- Security monitoring and intrusion detection
- Incident response and audit trails
![skill]( "Hands On Experience")
- Integrating SAST tools (SonarQube) in the CI pipeline
- Implementing DAST with OWASP ZAP in the deployment pipeline
- Setting up secrets management with HashiCorp Vault
- Perform dependency vulnerability scanning with Snyk or similar
- Implementing security policies with Open Policy Agent
- Automated compliance checking with InSpec
![skill]( "skill you will learn")
- Automating SAST, DAST, and compliance checks
- Securing credentials and implementing policy-as-code
- Performing vulnerability scanning and incident response
Generative AI Integration in DevOps
5 Topics
Topics
- Gen AI concepts: LLMs, transformers, and diffusion models
- AI coding assistants (GitHub Copilot, Amazon CodeWhisperer)
- Prompt engineering for infrastructure and automation scripts
- AI for automated documentation and test generation
- Ethical considerations and AI governance in DevOps
![skill]( "Hands On Experience")
- Generate Terraform and Ansible scripts using ChatGPT
- Create AI-assisted Dockerfiles and Kubernetes manifests
- Automate test case generation with AI tools
- Implement AI-powered chatops in Slack or MS Teams
![skill]( "skill you will learn")
- Generating infrastructure code using AI assistants
- Automating documentation and test generation with GenAI
- Integrating AI chatops and prompt-based automation
End-to-End AI-Enhanced CI/CD Pipeline
5 Topics
Topics
- Use Git/GitHub for version control and collaboration
- Build a Jenkins pipeline integrating Terraform, Ansible, Docker, and Kubernetes
- Incorporate AI tools for code generation, testing, and monitoring
- Implement security gates and automated compliance checks
- Deploy a containerized application with monitoring and alerting
![skill]( "Hands On Experience")
- Designing a comprehensive CI/CD pipeline architecture
- Implementing complete pipelines with Jenkins or GitHub Actions
- Integrating all tooling components: VCS, testing, security scanning, IaC, configuration management
- Building a containerized application deployment with Kubernetes
- Implementing monitoring and alerting
- Creating pipeline documentation and runbooks
![skill]( "skill you will learn")
- Orchestrating a secure, full-featured CI/CD pipeline
- Integrating Git, Jenkins, Terraform, Ansible, Docker, and Kubernetes
- Embedding AI tools for enhanced automation, testing, and monitoring
DevOps Training in Dehradun Description
Make collaboration easier and increase the efficiency of your business with our DevOps certification training in Dehradun. In this Devops course in Dehradun, we will be covering everything that you need to know about DevOps and its tools. We will begin with the importance of DevOps and why has it gained such prominence in recent times. Through the DevOps training in Dehradun, you will learn version control using Git, continuous integration using Jenkins, continuous testing through Selenium, continuous deployment through Docker, and configuration management with Ansible, amongst the many other things. All the training modules revolve around striking the perfect balance between theoretical knowledge and hands-on practical training. The industry experts involved in designing the DevOps course in Dehradun at Edureka have extensive experience in their field and once you have successfully completed the training and course, you will be fit for scoring high positions at MNCs. Edureka awards a certification upon the completion of the course, which will be the highlight of your resume.
What will you learn as a part of this DevOps course in Dehradun?
This DevOps training course in Dehradun is designed keeping in mind the latest trends in the industry. The course focuses on creating a strong base for various DevOps tools including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus and Grafana, and Terraform. The training is completely hands-on oriented and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle.
Who should go for this DevOps online training in Dehradun?
This DevOps training course in Dehradun is specifically designed for:
- Individuals looking to establish their credibility and value in the market as experienced DevOps Practitioners
- System Administrators
- Cloud Professionals
- Solutions Architects
- Infrastructure Architects
- Site Reliability Engineers
- Technical Leads
- Software Engineers
- Freshers
What are the skills that you will be learning with our DevOps course in Dehradun?
Upon completion of the DevOps training course in Dehradun, you will be able to:
- Understand the DevOps Process and Lifecycle
- Manage and keep a track of different versions of the source code using GIT
- Use Jenkins and maven to build the application and integrate the CI/CD Pipeline
- Manage your infrastructure using Ansible
- Build and Deploy containers using Docker
- Orchestrate your containerized environment with Kubernetes
- Monitor and visualize your environment using Prometheus and Grafana
- Provision new infrastructure using Terraform
What are the pre-requisites for this DevOps Certification Course in Dehradun?
- Any Scripting Language Knowledge
- Linux Fundamentals
To help you brush up these skills, you will get the following self-paced modules as pre-requisites in your LMS:
- Python Scripting
- Linux Fundamentals
DevOps Training Projects in Dehradun
AI-Enhanced CI/CD Pipeline for AppleBite Co.
Implement a CI/CD pipeline with Git, Jenkins, Docker, and Ansible, enhanced by AI. Use AI-powered test prioritization and predictive failure analytics in Jenkins. Optimize Docker....Automated CI/CD for Abstergo Corp. Website
Set up an automated CI/CD pipeline using GitHub, Jenkins, Docker, and Kubernetes for Abstergo Corp.'s online shopping portal. Developers push code to GitHub, triggering Jenkins b....Secure DevSecOps Pipeline for FinTrust Bank
Design a secure DevSecOps pipeline incorporating GitHub, Jenkins, and Kubernetes. Integrate security checks using SAST (SonarQube), DAST (OWASP ZAP), and software composition ana....Cloud-Native Infrastructure Provisioning for TravelSphere
Use Terraform and AWS CloudFormation to provision a modular, reusable cloud infrastructure. Integrate these tools into a CI/CD pipeline. Leverage AI tools like Tabnine and HashiC....Automated Multi-Tier Application Deployment for EduZone
Use Ansible to automate the deployment of a complex, multi-tier web application. Securely manage secrets with Ansible Vault and use dynamic inventories for scalable deployments. ....AI-Assisted GitHub Workflow for Team Collab
Set up GitHub repositories with access controls and protected branches. Create workflows using GitHub Actions and automate code reviews using GitHub Copilot. Resolve merge confli....DevOps Certification in Dehradun
To unlock the DevOps completion certificate, you must:
- Fully participate in the DevOps training course and complete all modules.
- Successfully complete the quizzes, hands-on projects, and lab exercises listed in the curriculum.
Upon successful completion of the DevOps Certification Training, Edureka provides the course completion certificate, which is valid for a lifetime.
Yes, the DevOps certification is a valuable asset for professionals transitioning into DevOps or aiming to upskill with AI capabilities. It offers structured learning across modern DevOps tools and AI integrations, ensuring a strong foundation in building intelligent, automated CI/CD pipelines.
After earning the DevOps certification, you can pursue roles such as DevOps Engineer, Release Manager, Automation Engineer, and Cloud DevOps Specialist. This certification boosts your career in CI/CD implementation, infrastructure automation, cloud-native deployments, and AI-integrated DevOps practices across industries.
The DevOps certification is an intermediate-level program covering CI/CD, automation, and AI integration in DevOps workflows. Yes, it’s definitely possible to complete the certification with proper guidance, hands-on practice, and a structured learning approach.
Yes, after completing the certification, you will have lifetime access to the course materials. You can revisit the content anytime to refresh your knowledge.
Yes, DevOps is a highly rewarding career with strong demand. It offers opportunities to work with cutting-edge technologies, including AI-driven automation in CI/CD pipelines and cloud infrastructure. Professionals in this field enjoy competitive salaries, job security, and long-term growth.
A DevOps certification validates your skills in automation, CI/CD, and AI-enhanced workflows, boosting your resume and earning potential. It opens doors to advanced roles in one of the highest-paying, fast-evolving areas of tech.
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with Grade X
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The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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DevOps Training in Dehradun FAQs
What if I miss a DevOps online training class?
You will never miss a lecture at Edureka! You can choose either of the two options: View the recorded session of the class available in your LMS OR You can attend the missed session, in any other live batch. So enroll now with one of the best DevOps Certification courses online and never miss a single class.
What if I have queries after I complete this DevOps online course in Dehradun?
Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the DevOps course in Dehradun.
How soon after Signing up would I get access to the Learning Content?
Post-enrolment of DevOps certification course, the LMS access will be instantly provided to you and will be available for a lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, access to our 24x7 support team will be granted instantly as well. You can start learning right away.
Is the course material accessible to the students even after the DevOps training in Dehradun is over?
Yes, the access to the DevOps certification course material will be available for lifetime once you have enrolled into the course. So enroll now with our best DevOps course and enjoy the benefit of lifetime access to the learning material.
Why should I learn DevOps course in Dehradun? How is it better than offline training?
Learning pedagogy has evolved with the advent of technology. Our DevOps online training adds convenience and quality to the training module. With our 24x7 support system, our online learners will have someone to help them all the time even after the class ends. This is one of the driving factors to make sure that people achieve their end learning objective. We also provide life-time access of our updated course material to all our learners. So join our best DevOps Certification Course online now.
How long will it take to complete the DevOps course in Dehradun?
Edureka’s DevOps certification training offers variable batch schedule to suit everyone’s needs. The weekend batches run for 6 weeks of live instructor led sessions. Which is then followed by real-time project for better hands-on. The accelerated program or the weekday batches can be completed in much shorter time with rigorous training sessions and live project to work-on at the end. Edureka offers the best DevOps course online so that you can learn with the top India's instructors.
What skills should a DevOps engineer have?
Familiarity with Linux Fundamentals and knowledge of one Scripting language, such as Python or Shell would help.
A DevOps Engineer should be proficient with various Development, Testing, and Deployment technologies. He/She should understand various DevOps stages and should have experience with various DevOps tools, including Git, Jenkins, Docker, Selenium, Puppet, Chef, Kubernetes and Nagios.
A DevOps engineer should have experience in developing and maintaining CI/CD pipelines.
Good hands-on knowledge of a cloud service (AWS, Azure etc.) can be an added advantage.
What are the roles and responsibilities of DevOps engineer?
One of the main roles of DevOps engineer is to be an excellent communicator. The major focus for DevOps engineer is to bridge the gap between the development and the IT operations team. They serve as an integral member of both the teams and liaises between both. While the demands of a DevOps Engineer often require him or her to work alone, they are expert collaborators.
What is a DevOps lifecycle?
DevOps is a software development process which involves Continuous Development, Continuous Testing, Continuous Integration, Continuous Deployment and Continuous Monitoring of the software throughout its development life cycle. These activities are possible only in DevOps, not Agile or waterfall, and this is why Facebook and other top companies have chosen DevOps as the way forward for their business goals.
Who is a DevOps engineer?
DevOps certified professionals who are working in a real-time environment are designated as DevOps Engineers. The main area of focus for DevOps engineer is to maintain a seamless communication between the development and operational side of an organization. They follow the principles of continuous development, continuous testing, continuous integration, continuous deployment and continuous monitoring to make sure that the product gains maximum profitability.
What are the certifications available in DevOps?
These are the popular DevOps certifications:
- DevOps Foundation
- DevOps Foundation
- DevOps Leader
- DevOps Engineering Foundation
- Certified Agile Service Manager
- DevSecOps Foundation
- DevSecOps Practitioner
- Continuous Delivery Ecosystem Foundation
- Continuous Testing Foundation
- Site Reliability Engineering Foundation
- Site Reliability Engineering Practitioner
- Value Stream Management Foundation
What is DevOps certification in Dehradun, and is it good for your career?
The DevOps certification improves your skills in technologies and processes needed for better results at the workplace. It helps your expertise in tools such as Git, Chef, Jenkins, Kubernetes, Docker, Ansible, Chef, Puppet, Nagios, etc.
What are the other DevOps Courses offered by Edureka?
Here is the list of DevOps Courses offered by Edureka:
What is the DevOps Course fee in Dehradun?
The cost of DevOps Training in Dehradun, India is INR 17,995 and the DevOps Course fee in the US is $449.
Have more questions?
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