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DevOps Certification Training Course in Washington
DevOps Certification Training Course in Washington
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Live Online Classes starting on 5th Jul 2025
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Why enroll for DevOps Certification Training in Washington?
DevOps Certification Training in Washington 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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Annual Salary
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Why DevOps Certification Training from edureka in Washington
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 in Washington Syllabus
Curriculum Designed by Experts
The course curriculum for DevOps training in Washington was developed through the expertise of experts. It is focused on training students on the most recent technologies that are being applied to the area. The first step is to educate students about the primary DevOps goals and ways they can aid in helping build profitable businesses. The next stage is to learn about how DevOps is linked to IT Service Management (ITSM) Agile, Lean, and Agile techniques. Then, you'll be able to use the techniques. DevOps can be utilized across different organizations to create automated processes such as feedback loops to facilitate teams and communication as well as others. After completing your DevOps Course in Washington, you will be awarded an official certificate from Edureka.
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 Washington Description
DevOps training in Washington will enable you to understand the fundamentals and advanced techniques that form part of DevOps.This DevOps course in Washington will help you learn about different DevOps tools, including Git, Jenkins, Docker, Ansible, Puppet, Kubernetes, and Nagios. There are more than 2500 jobs available in DevOps in Washington, and companies like Infosys and Accenture are looking for certified DevOps professionals. Join today to participate in the DevOps Training course in Washington and gain knowledge in an actual environment.
What will you learn from your DevOps course in Washington?
This DevOps training course is designed to keep you informed about the most current technological advancements. The DevOps course in Washington will help you establish solid foundations for various DevOps tools, including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus, Grafana, and Terraform. The training is hands-on and is designed to assist you in becoming a certified practitioner. It provides you with intensive training in the top and most efficient techniques of Continuous development Continuous testing, Continuous Development, and Configuration Management, including Continuous Integration and Continuous Delivery. Furthermore, you can track the software throughout its development time.
How much is the minimum requirement for DevOps Training in Washington?
To assist you in improving your capabilities, you'll receive self-paced educational courses that you'll need to connect to the LMS using:
Which are the top skill you'll learn during your DevOps course in Washington?
When you've completed your DevOps training in Washington following which, you'll be able to:
Who should take in the DevOps training in Washington?
The DevOps training in Washington was specially designed to adhere to these guidelines.
DevOps Training in Washington 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 Washington
Upon finishing the DevOps Course in Washington with Edureka, you will receive a certificate of successful completion for DevOps. This certificate is valid for a lifetime.
To acquire your Edureka DevOps Course completion certificate in Washington, it is necessary to successfully complete at least one session and fulfill the course requirements in the DevOps Training in Washington, achieving a minimum score of 80% in the test simulation.
To enroll in the DevOps Course in Washington on our website, simply provide your email address and mobile number. You can then proceed to make the payment using various online options, including Visa Credit or Debit Card, MasterCard, American Express, or any other accepted methods. Before finalizing the payment, please ensure the accuracy of your batch information to facilitate your participation in the DevOps Training in Washington.
The cost of DevOps Training in Washington is $449.
DevOps certification validates expertise in collaboration between development and operations for streamlined software delivery. In Washington, DevOps certification enhances job prospects, fostering career growth in the tech industry.
Popular DevOps certifications in Washington include:
- AWS Certified DevOps Engineer
- Microsoft Certified: Azure DevOps Engineer Expert
- Docker Certified Associate
- Red Hat Certified Engineer in DevOps
- Certified Kubernetes Administrator (CKA)
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DevOps Training in Washington FAQs
What if I do not attend the DevOps online training course?
There's no reason to skip classes with Edureka! You have two options: Take an overview of the recorded lectures on your LMS, join the class you are absent from or attend an actual class. Register now to take part in one of the most popular DevOps certification courses online to ensure you can be sure that you do not miss a class.
What If I have queries after completing my DevOps course in Washington?
The support team is accessible throughout the day. Support staff can assist you in resolving any issues that you may encounter throughout the course or after successful completion or completion of the DevOps course.
What happens when I have signed up for an account? Can I gain access to the learning materials?
After you've completed the DevOps certification course, you'll receive the LMS login password will be immediately handed to you. It will be accessible during the entire time you're an LMS member. You'll have access to all the recordings of the class you attend, such as PPTs, PDFs, and assignments. Additionally, connection to the support team is always accessible. You can start learning as soon as you sign up Once DevOps Training in Washington is completed.
Do you have the course content accessible to students?
Yes, DevOps certification course contents are accessible for the duration of your lifetime. Begin today by registering for our most popular DevOps course in Washington and enjoying access to the course content.
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