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DevOps Certification Training in Vancouver
DevOps Certification Training in Vancouver
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Live Online Classes starting on 7th Jun 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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Want to become a DevOps Manager?
Annual Salary
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Want to become a DevOps Manager?
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Hiring Companies
Want to become a DevOps Manager?
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 Course 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.
What is the DevOps Course in Vancouver Syllabus?
Here is a Syllable Outline of the DevOps Course in Vancouver
- Automated Testing and Version Control with Git
- Introduction to DevOps and Monitoring, Logging
- (CI/CD) with Jenkins and DevOps Culture, Best Practices
- Collaboration and Communication tools
- Configuration Management and Containerization, Orchestration
- Infrastructure as Code
What are the prerequisites for this DevOps Training Course in Vancouver?
There are no specific Prerequisites, but below are some of the recommended points:
- Bachelor's degree in computer science-related field
- Familiarity with Programming Languages
- Expertise with Automation Tools
Who should go for this DevOps Training in Vancouver?
This DevOps training course is curated for multiple audiences, including:
- IT Professional
- IT Manager
- Software Engineers
- Operations Personnel
- QA Professionals
- IT and Software development can also be Beneficial
What skills will you learn by enrolling in this DevOps Course in Vancouver?
This Course will Upgrade Beginners with complex DevOps skills, Covering Docker, Terraform with Azure, Git, Fundamentals of Linux Operations, Infrastructure as Code Principles, Kubernetes administration and Docker, Ansible, Jenkins and Jira.
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
Edureka will offer course completion certification after the course is completed and the minimum requirement is fulfilled. This certification is valid indefinitely, meaning it has no expiration date. This course is designed for learners and includes software development and operations, emphasizing collaboration, automation, and integration.
To obtain the Edureka DevOps Course completion certificate in Vancouver, You have to finish at least one entire session and then complete your course in the DevOps Training in Vancouver by scoring an average of at least 80% in the test simulation.
To enroll in our DevOps Course in Vancouver:
Step1) Visit the Edureka website
Step 2) Verify your Course details, Curriculum, Prerequisites, and Duration.
Step 3) Click on the enrolment Button and submit the required information.
Step 4) Make the payment using any online payment options such as Visa Debit or Credit Card, MasterCard, American Express, or any other accepted method.
Once your payment is successful & verified, you will be granted access to our DevOps Course in Vancouver.
The cost of DevOps Training in Vancouver is around $679, but Edureka will offer you the price of $611. A 10% discount is provided so that you can save $68. Edureka will also offer Online Self-Learning Courses, and the price is $499.
A DevOps Certification is a credential given to an individual demonstrating that they are equipped with the latest DevOps skills, Practices, Tools, and Principles. Here are some of the points which are good to improve your career in Vancouver:
Will enhance your skills and Employability
Increase your Career growth and Recognized DevOps certification
Greater scalability and availability.
Better problem-solving ability and salary potential
More stable software development
Greater visibility into system outcomes.
Greater innovation.
Additionally, it is an acknowledgment for a person who has already finished the DevOps training Program and has shown Expertise In DevOps Ideas, Technologies, and Processes from a trustworthy organization.
DevOps certification could be challenging for those who don't properly understand various tools, practices, and methodologies. However, with proper dedication, a knack for studying, and practical experience, individuals have successfully passed the exam. DevOps certification is achievable with the right approach and commitment. Enrolling in this DevOps course can help you prepare, and this DevOps course provides a structured learning path, hands-on experience, and expert advice to have a good understanding of the concepts of DevOps methodology and practices.
John Doe
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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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Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I w...
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DevOps Training in Vancouver FAQs
Who is a DevOps Engineer?
A DevOps engineer is a proficient IT professional with extensive knowledge of IT operations and Software Development. They are experts in coding, managing infrastructure, system administration, and utilizing DevOps toolchains. In addition, they should focus on maintenance and Trending Industrial updates.
What exactly is DevOps?
DevOps is a balance of cultural concepts, tools, and practices that will help to increase the organization's ability to deliver applications and services at high velocity. That is, it develops and improves products faster than organizations using traditional software development and infrastructure organization procedures.
What is a DevOps lifecycle?
The DevOps lifecycle is a process that involves collaboration and iteration. It combines automation and feedback to create high-quality software that meets the needs of both the business and users.
This cycle includes several stages:
- Planning
- Coding
- Testing
- Deployment
- Monitoring
- Feedback
How long will it take to complete the DevOps course in Vancouver?
Edureka’s DevOps Training offers multiple batch schedules to suit everyone’s needs. It will take 36 hours to complete the DevOps course.
- The weekend batches run six weeks and consist of 36 hours of classes of live instructor-led sessions, followed by a real-time hands-on project.
- The weekday batches consist of 36 hours of classes that can also be completed in a shorter time with rigorous course sessions and live projects.
Does a person with no IT expertise join a DevOps Course in Vancouver?
Someone from a non-IT background can pursue DevOps, but they must have a mindset to grasp the latest technologies and methodologies. A basic understanding of the technologies in DevOps is especially crucial; by enrolling in DevOps training, even without a deep technical background, you can develop the skills required to become a DevOps Engineer.
Can software testers attend the DevOps course in Vancouver?
Yes, a software tester can gain good knowledge by enrolling in a DevOps course in Vancouver. DevOps aims to unify and automate the procedures linking software development with IT operations.
What are the responsibilities of a DevOps Professional in Vancouver?
The roles and responsibilities of a DevOps engineer typically include:
- Automate the Deployment
- Implement and optimize CI/CD pipelines
- Scaling
- Configuration
- Managing the software application that runs on the Infrastructure
- Creating Test plans and Execute the test cases
- Controls the Deployed surroundings
- Automate the Cybersecurity Requirements
What is the delivery model of the DevOps Course in Vancouver?
Edureka's DevOps Course provides a comprehensive learning experience through a blended approach. Our Live Virtual Classes, conducted by Edureka Instructors, are seamlessly integrated with hands-on labs for practical exercises and projects. Additionally, learners get access to select pre-recorded self-learning videos within the Learning Management System.
What is the average salary of a DevOps-certified professional in Vancouver?
According to Payscale, the average salary of a DevOps professional is C$90,848 in 2024 in Vancouver, and if you are in a much higher position, the salary will range up to C$125k.
What is the Best Entry-level DevOps Certification?
The Most Popular Entry level DevOps Certification are:
- AWS Certified DevOps Engineer
- Microsoft Certified: Azure DevOps Engineer
- Certified Kubernetes Administrator (CKA)
- Certified Jenkins Engineer
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