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DevOps Certification Training Course with Gen AI in San Jose
DevOps Certification Training Course with Gen AI in San Jose
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187426 Learners4.5 79900 Ratings
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Live Online Classes starting on 7th Jun 2025
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Why enroll for DevOps Certification Training in San Jose?
DevOps Training Benefits in San Jose
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?
Why DevOps Certification Training from edureka in San Jose
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 San Jose
DevOps Tools Covered in San Jose
DevOps Course Curriculum in San Jose
Curriculum Designed by Experts
The course plan to follow to be followed for DevOps training in San Jose was designed by experts. It focuses on training students in the latest innovations in the field. It starts by educating students on the fundamental DevOps goals and the ways they can assist in helping create profitable companies. The next step is to be taught about how DevOps is interconnected with IT Service Management (ITSM), Agile, and Lean methods. You'll then be able to apply the strategies. DevOps can be applied in different companies to establish automated processes like feedback loops for team communication. Once you've finished the DevOps Course in San Jose, You will receive 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
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DevOps Training in San Jose Description
If you're looking to qualify that you are a DevOps Engineer, Looking at DevOps training in San Jose is suggested. This course gives practical training on developing an application that allows you to monitor the demands of users in real-time. You'll be able to handle each task you'd like to accomplish, such as Git, Docker, Jenkins, Ansible, Kubernetes, Nagios, and Puppet. After you've built the DevOps capabilities, you'll be able to employ the most efficient continuous development and continuous testing methods. You'll also be able to use Continuous Integration, Continuous Monitoring of Software, and Config Management. This DevOps course in San Jose, which Edureka teaches, can boost the credibility of your resume and help you stand out from the crowd.
What will you learn about during the DevOps course in San Jose?
It is a DevOps training course that has been designed to keep you current and up to on the latest technological advancements in the industry. Its DevOps course in San Jose will allow you to build solid foundations for various DevOps tools like Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus, Grafana, and Terraform. The training is hands-on and intended to help you become a certified practitioner. It gives you intensive training in the best and most efficient Continuous Development, Continuous Testing, and Configuration Management methods, including Continuous Integration and Continuous Delivery. In addition, you can monitor your software during its development time.
Who should attend this DevOps training in San Jose?
DevOps training in San Jose was explicitly designed to adhere to the following standards.
What is the required skill of the DevOps course in San Jose?
After you've completed the DevOps training in San Jose after which, you'll be able to:
What is the minimum requirement for DevOps Training in San Jose?
To aid you in enhancing your capabilities, you'll get self-paced educational modules that will be required to access the LMS that you use:
DevOps Training Projects in San Jose
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 San Jose
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 San Jose FAQs
What if I miss a DevOps online training class?
There's no way to miss a class in Edureka! You have two options: take a look at the recorded lectures of the class via your LMS or take part in the class that was missed or takes part in the live class. Register now to attend one of the top DevOps certification courses online to ensure that you never miss any class.
What if I have questions after finishing the DevOps course in San Jose?
The support team is always available at all hours of the day. The support team will assist in resolving any issues you encounter during the course or beyond your completion of the DevOps course.
What happens after I sign up? Can I get access to the learning content?
Once you've finished your DevOps certification course and completed your DevOps certification course, the LMS login password is automatically given to you. It will be available throughout the period. You'll be able to access all recordings from the class and PDFs, PPTs, and assignments. Access to our support staff is always available.
Is the course material available to students after DevOps Training in San Jose has been completed?
Yes, you will have access to DevOps certification course content for the rest of your life after you've completed the course. Begin now by enrolling in our top DevOps course in San Jose and reap the benefits of accessing the course materials.
Why should you go for this DevOps course online?
The teaching method has developed because of technological advances and technological advancements that are developing. Nowadays, it is possible to teach learning with technology. DevOps online training offers top-quality and comfortable in its training module. Through our 24-hour assistance line, online students will be assisted by an individual who will assist them throughout the course, even after the class is over. This is among the most critical reasons we ensure that students reach their goals in learning. We also offer all-year access to the current course tools to all our students. So join our best DevOps certification course online now.
What's the required time to complete this DevOps course in San Jose?
DevOps certification training in San Jose offers flexible hours to suit your needs. The weekend classes run for six weeks and include instructor-led, real-time training sessions. They are then followed by live projects to provide you with an opportunity to practice your skills. The most efficient program or the weekday sessions can be completed less because they combine intense training sessions and actual projects that students can complete in the final session. Edureka provides the top DevOps course online that will allow you to ensure that you receive the best training from highly knowledgeable instructors in the USA.
What qualifications do a DevOps engineer holds?
Experience using Linux Fundamentals and knowledge of one scripting language such as Python or Shell can benefit.
A DevOps Engineer must be proficient in various development tests, deployment, and strategies. They should be aware of the different DevOps phases and be familiar with various DevOps tools, such as Git, Jenkins, Docker, Selenium, Puppet, Chef, Kubernetes, and Nagios.
A DevOps engineer should have experience with developing and maintaining pipelines. Development and maintaining pipelines to help support CI/CD.
Understanding the specifics of cloud-based cloud solutions (AWS, Azure, etc.) is a benefit.
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