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DevOps Certification Training in Vancouver
DevOps Certification Training in Vancouver
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Live Online Classes starting on 3rd May 2025
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Why enroll for DevOps Certification Training in Vancouver?
DevOps Certification Training in Vancouver Benefits
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 Vancouver
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
DevOps Tool Covered
DevOps Training Curriculum in Vancouver
Curriculum Designed by Experts
The DevOps Certification Training in Vancouver covers key areas, including automation, Continuous Integration/Continuous Deployment (CI/CD), collaboration, Agile practices, and Infrastructure as Code (IaC). Participants gain hands-on experience with popular DevOps tools, mastering the art of efficient software development and IT operations integration. The curriculum emphasizes creating a culture of collaboration and innovation, preparing professionals for real-world challenges in the rapidly evolving tech landscape. This comprehensive program equips learners with the skills and knowledge essential for successful DevOps implementation, fostering agility, speed, and reliability in the software delivery lifecycle.
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
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DevOps Training in Vancouver Description
The DevOps course in Vancouver offers an engaged, hands-on learning experience covering version control, continuous integration, deployment, and monitoring. It will train individuals and IT professionals who want to enhance their skills and expertise in DevOps to navigate the difficulties in modern IT operations and software development, helping you make collaboration easier and increase your business efficiency. In addition, you will benefit from live interactive learning with world-class instructors, lifetime access to the course after completion, 24/7 help desk support, a pre-configured lab environment, and infrastructure with tools and software.
About DevOps Certification Course
This course equips professionals with skills to design, implement, and manage intelligent CI/CD pipelines and cloud infrastructure using modern DevOps tools and AI, focusing on automation, collaboration, security, and optimization across the software delivery lifecycle.
What is DevOps Engineering?
DevOps Engineering combines DevOps practices with AI tools to automate CI/CD, infrastructure, security, and monitoring. It boosts software delivery speed, reliability, and efficiency through smart automation, predictive analytics, and intelligent code generation.
What is CI/CD in DevOps?
CI/CD stands for Continuous Integration and Continuous Delivery/Deployment. It’s a set of practices that enables developers to integrate code changes frequently, automatically test them, and deploy them to production reliably and quickly.
What is Infrastructure as Code (IaC)?
Infrastructure as Code (IaC) is the process of managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware or interactive configuration tools.
What is Configuration Management in DevOps?
Configuration Management involves systematically handling changes to ensure infrastructure and applications maintain desired states. Tools like Ansible automate system configurations across environments.
What is Containerization in DevOps?
Containerization is the process of packaging applications and their dependencies into lightweight containers using tools like Docker, ensuring consistency across multiple environments.
What is Kubernetes in DevOps?
Kubernetes is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications across clusters of machines.
What is DevSecOps?
DevSecOps integrates security practices into the DevOps lifecycle, ensuring that security is a shared responsibility from development to production.
Why learn AI-Enhanced DevOps?
Learning AI-Enhanced DevOps equips you to build faster, more secure, and scalable software delivery pipelines. With hands-on experience in automation, CI/CD, IaC, and AI-driven tools, you’ll streamline development, reduce errors, and drive innovation across IT operations.
Why move to AI-integrated DevOps?
AI-integrated DevOps streamlines development by integrating automation, AI, and modern DevOps tools into a unified workflow. It reduces manual effort, enhances security, accelerates delivery, and transforms raw code and infrastructure into resilient, intelligent systems.
Is it worth learning AI-integrated DevOps?
Absolutely. AI-integrated DevOps is in high demand as businesses adopt smarter, faster, and more secure software delivery methods. Mastering CI/CD, IaC, automation, and AI integration gives you a competitive edge in modern DevOps roles and cloud-native environments.
What are the prerequisites for this DevOps Certification Course?
Learners should have a basic understanding of software development, version control (e.g., Git), and working knowledge of the Linux command line. Familiarity with CI/CD concepts, containers, and general IT operations will also be beneficial.
Who is a DevOps Engineer?
A DevOps Engineer is responsible for automating and streamlining software development and deployment pipelines, managing infrastructure, ensuring security, and improving system performance. This role requires expertise in CI/CD, cloud infrastructure, configuration management, and automation tools.
Why adopt an AI-driven DevOps approach?
AI-driven DevOps brings intelligence to automation, enabling faster releases, fewer failures, and self-healing systems. It enhances traditional DevOps with predictive analytics, real-time optimizations, and smarter workflows.
Why should you become a DevOps Engineer with AI expertise?
As modern software delivery demands speed and intelligence, DevOps Engineers with AI skills are highly sought after. The role blends automation, collaboration, and smart tooling to streamline development and operations. You gain hands-on experience across CI/CD, infrastructure as code, and intelligent monitoring while working on AI-powered solutions that shape the future of software engineering.
What will participants learn during the DevOps Certification Training?
Participants will learn to build intelligent, secure, and automated DevOps pipelines using tools like GitHub, Jenkins, Terraform, and Kubernetes, while leveraging AI for testing, monitoring, code generation, and predictive analytics.
Participants will learn to build intelligent, secure, and automated DevOps pipelines using tools like GitHub, Jenkins, Terraform, and Kubernetes, while leveraging AI for testing, monitoring, code generation, and predictive analytics.
Yes, it equips engineers with the skills to automate, optimize, and secure software delivery using intelligent tools and workflows. As companies embrace AI-powered development, these skills are in high demand across modern cloud environments.
Who should take the DevOps Certification Course?
This program is ideal for DevOps engineers, software developers, system administrators, cloud architects, and IT professionals aiming to build intelligent, automated, and secure DevOps pipelines using modern tools and AI. It’s also suited for those looking to upskill in CI/CD, IaC, container orchestration, and AI-driven automation.
Is DevOps a good career option?
Yes, DevOps is a strong career choice due to its high demand, excellent salary prospects, and critical role in accelerating software delivery. With continuous learning, cross-functional collaboration, and growing adoption of AI and automation, it offers long-term stability, impact, and growth across industries.
How can beginners learn AI-driven DevOps?
Beginners can easily learn AI-driven DevOps as it combines fundamental DevOps practices with intelligent automation. With Edureka’s proper guidance and a structured training program, newcomers can grasp tools like Jenkins, Kubernetes, Terraform, and AI integrations.
What are the system requirements for the DevOps Certification Course?
This program requires a computer with at least 8 GB RAM and an Intel Core i5 processor (or equivalent), running Windows 10+ or macOS. A stable, high-speed internet connection is essential for accessing course materials, DevOps tools, and cloud services like Jenkins, Docker, and Kubernetes.
DevOps Training in Vancouver Projects
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 Vancouver
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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DevOps Training in Vancouver FAQs
Why is DevOps important in 2025?
DevOps, enhanced with AI, blends culture, tools, and practices to deliver software faster and more reliably.
As per the 2023 State of DevOps Report by Puppet, top teams deploy 46x faster, with 7x fewer failures and 96x quicker recovery, highlighting its impact on speed and stability.
How is AI impacting DevOps?
AI is enhancing DevOps through intelligent automation, predictive analytics, anomaly detection, and smarter CI/CD pipelines. It helps teams detect issues earlier, automate testing, and optimize infrastructure usage.
What are the most commonly used DevOps tools in 2025?
Git, GitHub, Jenkins, GitHub Actions, Docker, Kubernetes, Ansible, Terraform, CloudFormation, Helm, Prometheus, Grafana, ELK Stack, SonarQube, OWASP ZAP, HashiCorp Vault, Snyk, Trivy, Open Policy Agent (OPA).
Can someone without an IT background get into DevOps?
Yes, with the right mindset and willingness to learn, anyone can enter DevOps. While a basic understanding of tech concepts is important, online training can help you build the skills needed to succeed as a DevOps Engineer.
What are the 5 levels of DevOps practice?
DevOps maturity progresses from manual, siloed processes to full automation. It starts with basic tasks done manually, then moves to CI/CD automation, standardized pipelines, integrated security and monitoring (DevSecOps), and finally, self-service systems with autonomous delivery and minimal human input.
What are the 7 C's of DevOps?
Here’s a concise breakdown of the 7 C’s of DevOps:
- Continuous Integration – frequent code merges
- Continuous Testing – automated quality checks
- Continuous Delivery – ready-to-release code
- Continuous Deployment – auto-release to production
- Continuous Monitoring – track performance in real time
- Continuous Feedback – improve via user/system insights
- Continuous Operations – ensure uptime & stability
Why is Edureka DevOps Training the Best in the Industry?
Edureka's DevOps training stands out due to its industry-relevant curriculum, hands-on projects, and expert-led live classes. Here's why it's considered one of the best:
- Live Instructor-Led Classes
- Comprehensive Tool Coverage
- 100% Hands-On Learning
- Real-world projects and lab-based assignments
- Flexible Scheduling
- Weekend and weekday batch options
- Lifetime access to course materials and recorded sessions
- The industry-aligned final project to test practical skills
- Certification recognized by many tech employers
- Career Support
Does edureka provide DevOps training with a placement assistant?
Yes, Edureka provides DevOps assistance with DevOps training. After completing this training program, you will be able to qualify for a job interview. Edureka provides DevOps Interview Questions, which prepare learners for DevOps interviews and crack interviews in 1st attempt. Edureka also provides a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. More than 70% of Edureka Learners have reported changes in job profile (promotion), work location (onsite), lateral transfers & new job offers.
Can I learn DevOps for free?
Yes, various resources are available on the Internet to learn DevOps's basic concepts. Edureka provides free DevOps tutorial, guides, and blogs on these concepts.
How do I become a DevOps engineer with AI expertise?
Begin with core skills in Linux, networking, and scripting. Learn DevOps principles and master tools like Jenkins, Docker, Kubernetes, and Terraform. Build AI expertise by exploring tools that automate code reviews, testing, monitoring, and infrastructure optimization. Work on real-world projects, pursue certifications, and stay updated on evolving AI and DevOps trends to become a well-rounded, future-ready DevOps engineer.
What is the average salary of a DevOps certified professional?
According to Payscale and Glassdoor, the average salary of a DevOps professional is ₹715,130 in India and $96,418 in the United States.
Average Annual Salary in India
- Entry-level (0–2 yrs): ₹6 – ₹9 LPA
- Mid-level (3–6 yrs): ₹10 – ₹18 LPA
- Senior-level (7+ yrs): ₹20 – ₹30+ LPA
Average Annual Salary in US :
- Entry-level: $90,000 – $110,000
- Mid-level: $115,000 – $140,000
- Senior-level: $145,000 – $170,000+LPA
What are common career paths for someone in DevOps?
The common career paths for someone in DevOps is:
- DevOps Architect
- DevOps Engineer
- Release Manager
- Automation engineering
- Director
- Security
- Site Reliability Engineer
- Infrastructure Engineer
- QA Engineer
What are the other DevOps Programs offered by Edureka?
Here is the list of DevOps Programs offered by Edureka:
What are the day-to-day activities of the DevOps engineer?
Here is the typical Day-to-day activities of a DevOps Engineer:
- What are the daily tasks of a DevOps Engineer?
- Monitor systems and CI/CD pipelines
- Write and update scripts or configuration files
- Build, test, and deploy applications
- Troubleshoot build or deployment failures
- Manage infrastructure as code (IaC)
- Use AI tools for log analysis, anomaly detection, and code reviews
- Maintain containerized environments
Where do DevOps Engineers hang out online?
DevOps Engineers often hang out in various online communities, forums, and platforms to share knowledge, discuss best practices, and collaborate on projects. Here are some popular online hangouts for DevOps professionals:
- Edureka Community
- Stack Overflow
- GitHub
- DevOps Chat
- LinkedIn Groups
- Slack Communities
- Discord Servers
- Medium
- Online and offline Conferences and Meetups
- Forums
What if I miss an online DevOps training class?
You will always attend a lecture at Edureka! You can choose either of the two options: View the recorded session of the class available in your LMS OR attend the missed session in any other live batch. So enroll now with one of the best DevOps Online Training and never miss a single class.
What types of support are available for technical issues during the DevOps Training?
Edureka offers robust technical support for its DevOps program, including:
- 24/7 Lifetime Support: You can access support anytime during and after the training, ensuring help is available for any issues you encounter
- Instructor Interaction: During live sessions, instructors are available to address questions and technical issues in real-time.
- Dedicated Technical Support Team: If you face any platform or software-related issues, their support team is ready to assist
Who are the instructors for this training program?
The instructors for this DevOps training program are typically experienced professionals in the field. They are:
- Experienced DevOps professionals with expertise in CI/CD, cloud platforms, automation tools, and AI in DevOps
- Focused on practical, industry-relevant training, emphasizing AI-driven automation and predictive analytics
- Selected for both teaching ability and hands-on experience, bridging the gap between theory and real-world application
- Sharing best practices and insights, including the role of AI in enhancing DevOps efficiency and security
Is the training material accessible to the students even after the online DevOps training is over?
Yes, the access to the DevOps certification material will be available for lifetime once you have enrolled into the training. So enroll now with our best DevOps training and enjoy the benefit of lifetime access to the learning material.
What if I have queries after I complete this DevOps online training?
Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you in resolving queries during and after the DevOps training program.
Where can I get real-time project experiences on DevOps?
DevOps real time projects are available on multiple sources like:
- Online Platform like GitHub, GitLab etc.
- Edureka DevOps training provides real time projects and case studies.
- Participating in Hackathons.
- Engage in Open Sources communities like kubernetes, jenkins.
- Meetup and workshops also provide hands-on experience on DevOps.
How soon after Signing up would I get access to the Learning Content?
Post-enrolment of the DevOps program, the LMS access will instantly be provided to you and available for a lifetime. You can access the complete set of previous class recordings, PPTs, PDFs, and assignments. Moreover, access to our 24x7 support team will also be granted instantly. You can start learning right away.
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Have more questions?
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