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6840+ Job Posting Available
Placements in Devops: 1,342

DevOps Training in Los Angeles with Certification

Learn DevOps in Los Angeles with the tools used in real delivery work: Linux, Shell Scripting, Git, Jenkins, Maven, SonarQube, JFrog, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK Stack. Build production-style CI/CD pipelines, infrastructure as code, containerized deployments, monitoring, and security scanning from the ground up.

4.7/5 from 1,432 reviews
80 hours of hands-on DevOps training in Los Angeles
Real practice with Linux, Git, Jenkins, Docker, Kubernetes, Terraform, and Ansible
Learn CI/CD, containerization, infrastructure as code, monitoring, and security
Work on deployment workflows from build to scan to deploy to monitor
Certification support with placement guidance for DevOps and cloud roles
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Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999

In 60 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online

Free Session

1 Hour Training Session

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Placement Assistance for DevOps Professionals in Los Angeles

Learning DevOps is only useful when you can show the work in interviews and on the job. Inventateq focuses on practical preparation for DevOps, Cloud Engineer, Build and Release Engineer, and SRE roles, with support built around the tools and workflows covered in class.

Our Signature Career Support:

  • Resume support focused on DevOps tools, pipelines, and deployment work
  • Mock interviews for Linux, Jenkins, Docker, Kubernetes, Terraform, and AWS basics
  • Portfolio guidance for CI/CD, infrastructure, and monitoring projects
  • Interview preparation for DevOps Engineer, Cloud Engineer, and SRE roles
  • Placement mentoring aligned to entry-level and mid-level DevOps openings in Los Angeles

DevOps Salary Insights in Los Angeles

DevOps hiring in Los Angeles spans software teams, cloud operations, platform engineering, and infrastructure roles. Pay grows with hands-on skill in CI/CD, cloud platforms, Kubernetes, automation, and production support.

DevOps Average Salary by Experience

Why Students Choose Our DevOps Course in Los Angeles?

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Success Result: Our students are competing at global levels. Watch their placement journey here.

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About Inventateq DevOps Training Institute in Los Angeles

This DevOps course is built around the actual workflow used in modern delivery teams: code, build, scan, package, deploy, and monitor. You learn the stack in sequence, starting with Linux and Shell Scripting, then moving through Git, Maven, SonarQube, JFrog, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK Stack.

We stand apart through our commitment to:

  • Learn DevOps with real tools used in production pipelines
  • Practice Linux administration, scripting, automation, and deployment
  • Build CI/CD workflows with Jenkins, Git, Maven, SonarQube, and JFrog
  • Work on container, orchestration, IaC, monitoring, and logging topics
  • Get mentor support and placement guidance for DevOps and cloud roles
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online DevOps training from Los Angeles follows the same hands-on format as classroom sessions. You join instructor-led classes, do the lab work in real time, and get support while learning the full DevOps toolchain remotely.

Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support

DevOps Training Program in Los Angeles

Software Developers

Good for developers who want to learn CI/CD, containers, and deployment automation.

System Administrators

Suitable for admins who want Linux, automation, and production deployment skills.

Cloud Engineers

Helps cloud learners add Terraform, Kubernetes, monitoring, and security scanning.

IT Managers

Useful for managers who need a working understanding of DevOps delivery and infrastructure.

Project Managers

Helpful for PMs coordinating release pipelines, environments, and production rollouts.

Quick Highlights of Inventateq DevOps Course

Course Duration

  • Duration: 80 hours

  • Mode: Offline classroom and live online

  • Training Style: Hands-on practical implementation

  • Location: Los Angeles

No prior DevOps experience is required to start.

DevOps Curriculum

1. Linux System and Server Administration (Week 1)

W1
  • Linux architecture and kernel basics
  • File system hierarchy, disk management, and storage types
  • User and group management, permissions, ACLs, and special permissions
  • Process handling, logs, package management, boot process, and systemd
  • Networking setup, SSH hardening, firewalls, SELinux, and server hardening

2. Shell Scripting for Automation (Week 2)

W2
  • Bash environment, variables, and user input
  • Conditionals, loops, functions, arrays, and string handling
  • Error handling, exit codes, and process automation
  • Log monitoring, backup automation, cron jobs, and health scripts
  • Deployment scripting for production-style tasks

3. Git and Maven Foundations (Week 3)

W3
  • Git architecture and distributed version control
  • Branching, merging, rebasing, cherry-picking, hooks, tags, and workflows
  • Maven lifecycle, POM structure, dependencies, plugins, and packaging
  • Multi-module builds and artifact management concepts
  • Using local, central, and repository-based artifact flows

4. Code Quality and Artifact Management (Week 4)

W4
  • SonarQube static analysis and quality gates
  • Code coverage and vulnerability detection
  • Jenkins integration for automated quality checks
  • JFrog repository concepts and versioned artifact handling
  • Docker image registry and pipeline integration

5. Jenkins CI/CD Pipeline Design (Week 5)

W5
  • Jenkins architecture with master and agent setup
  • Pipeline as code in declarative and scripted style
  • Workflow design using Git, Maven, SonarQube, Docker, and JFrog
  • Credentials, webhooks, and distributed builds
  • Automated build and delivery process design

6. Docker Containerization (Week 6)

W6
  • Docker architecture, images, containers, and Dockerfiles
  • Volumes, networking, Docker Compose, and private registries
  • Container security best practices
  • Build and push workflows inside CI/CD
  • Using Docker as the packaging layer for deployment

7. AquaTrivy and Kubernetes Security (Week 7)

W7
  • Container and image vulnerability scanning
  • Kubernetes security scanning and CI/CD security gates
  • Security integration into the pipeline
  • Oriented toward reducing deployment risk
  • Supporting secure release workflows

8. Kubernetes Orchestration (Week 8)

W8
  • Kubernetes architecture and node roles
  • Pods, ReplicaSets, Deployments, Services, and Ingress
  • ConfigMaps, Secrets, persistent storage, namespaces, and RBAC
  • Helm charts, autoscaling, rolling updates, and rollbacks
  • Cluster troubleshooting and production deployment concepts

9. Terraform Infrastructure as Code (Week 9)

W9
  • Terraform architecture, providers, resources, variables, and outputs
  • Remote state, workspaces, modules, and state management
  • Provisioners and real-world infrastructure deployment
  • Repeatable infrastructure automation
  • Applying IaC for production-ready environments

10. Ansible Configuration Management (Week 10)

W10
  • Agentless architecture and inventory management
  • Playbooks, roles, variables, and Jinja2 templates
  • Handlers, dynamic inventory, and server provisioning
  • CI/CD integration for configuration automation
  • Using Ansible for repeatable server setup

11. Prometheus and Grafana Monitoring (Week 11)

W11
  • Metrics collection and PromQL
  • Alertmanager and Kubernetes monitoring
  • Node Exporter and alert-driven visibility
  • Dashboard creation in Grafana
  • Monitoring best practices for production systems

12. ELK Stack Logging and Observability (Week 12)

W12
  • Elasticsearch architecture
  • Logstash pipelines and Kibana dashboards
  • Centralized logging and log analysis
  • Alerting from logs and operational visibility
  • Troubleshooting through observability data

13. End-to-End DevOps Project Implementation (Week 13)

W13
  • Design the full pipeline from code to build to scan to deploy to monitor
  • Apply production deployment strategy
  • Plan high availability and scaling
  • Bring together Linux, Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK
  • Complete the course with a real deployment workflow

Rated 4.9/5

Why Inventateq for DevOps Training in Los Angeles?

Inventateq teaches DevOps as a working system, not as isolated tools. The course moves through administration, automation, build and release, containerization, orchestration, infrastructure as code, monitoring, logging, and security in a practical order.

Why Students Trust Inventateq Los Angeles

  • Trainers explain each tool in the context of real DevOps work
  • The syllabus follows current Linux, cloud, and CI/CD practices
  • Students get a structured environment with guided lab support
  • Projects connect directly to DevOps and cloud job expectations
  • Placement support is aligned to practical roles after training

Build DevOps Skills That Translate Into Real Job Work

By the end of the program, learners can work with the same tools used in modern deployment teams. The focus is on hands-on practice, production workflow understanding, and the ability to explain your setup clearly in interviews.

Build CI/CD Pipelines

You learn how to connect Git, Maven, SonarQube, JFrog, Docker, and Jenkins into one release flow. This gives you a complete view of how software moves from code to deployment.

Automate Linux and Server Tasks

Shell scripting and Linux administration help you handle routine operations, monitoring, backups, and service control. These skills are useful for both DevOps and system administration work.

Deploy Containers and Kubernetes Workloads

You practice Docker image handling, Compose, registries, and Kubernetes objects like deployments, services, ingress, and secrets. This prepares you for container-based delivery work.

Manage Infrastructure as Code

Terraform training helps you create repeatable infrastructure with variables, modules, remote state, and workspaces. You learn the logic behind consistent deployments across environments.

Set Up Monitoring and Logging

Prometheus, Grafana, and ELK Stack show you how to watch systems, trace issues, and read operational data. That is a core part of production support and reliability work.

Prepare for DevOps Interviews

The course connects tools, architecture, and deployment concepts in a way that supports interview discussion. You leave with practical examples instead of only theory.

Certification for DevOps Training

The certification reflects your training in Linux, CI/CD, containerization, infrastructure as code, monitoring, and deployment automation. It helps show employers that you have worked through a complete DevOps toolchain, not just basic definitions.

Linux, Git, Jenkins, Docker, and Kubernetes workflow knowledge

Earn this certificate upon successful completion of our training program.

Terraform and Ansible based infrastructure automation skills

Validate your skills with recognized industry credentials.

Prometheus, Grafana, and ELK Stack monitoring and logging exposure

Earn this certificate upon successful completion of our training program.

Detailed Insights: DevOps Training in Los Angeles

Students Frequently Asked Questions

Is this DevOps course suitable for beginners?

Yes, if you are ready to learn step by step and practice regularly. The course starts with Linux and Shell Scripting before moving into Git, CI/CD, Docker, Kubernetes, Terraform, and monitoring. That structure helps beginners build confidence without skipping the basics.

Will I get hands-on projects in this DevOps training?

Yes, the course is designed around practical implementation. You work through pipeline design, container builds, Kubernetes deployment, infrastructure automation, and monitoring setups. The final project brings the tools together in a full DevOps workflow.

Does Inventateq provide placement assistance after the course?

Yes, placement support is part of the course structure. The team helps with resumes, interviews, and role preparation for DevOps and cloud positions. Support is focused on the actual skills you build during training.

Can someone from a non-programming background join?

Many learners join from system administration, support, operations, or IT backgrounds. The course includes Linux administration and scripting fundamentals, which helps bridge the gap. You should be comfortable learning technical tools, but you do not need to start as a developer.

Is live online training available from Los Angeles?

Yes, live online classes are available and follow the same practical syllabus. You can attend instructor-led sessions remotely and complete the lab work during class. This is useful if you want flexible access while staying on the same curriculum path.

How long is the DevOps course?

The program duration is 80 hours. That time is used for hands-on work across administration, automation, CI/CD, containers, orchestration, infrastructure as code, monitoring, and logging. The pace is practical and focused on job-ready skills.

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