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

DevOps Training in San Francisco with Certification

Learn DevOps in San Francisco with hands-on training in Linux, Git, Jenkins, Maven, SonarQube, JFrog, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK Stack. Build CI/CD pipelines, automate deployments, and work through production-style implementation the way DevOps teams do it.

4.7/5 from 1,432 reviews
80 hours of practical DevOps training in San Francisco
Real tools: Jenkins, Docker, Kubernetes, Terraform, Ansible, AWS, Azure
Shell scripting, Linux admin, CI/CD, monitoring, and security in one program
Hands-on implementation from code to build, scan, package, deploy, monitor
Certificate support plus placement guidance for DevOps and cloud roles
Job Interview
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 Record

How We Have Placed 10,000+ Students ?

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
5.2 LPA
Pramod

Pramod

5.2 LPAServiceNow Developer

Prodapt
5.7 LPA
Vihaana

Vihaana

5.7 LPAAndroid Developer

Nextwebi
6 LPA
Navya

Navya

6 LPAAndroid Developer

Corsel Technologies
7 LPA
Karthik

Karthik

7 LPAAndroid Developer

appzoc
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
3.45 LPA
Gheeta Kumari

Gheeta Kumari

3.45 LPANetwork Engineer

Cognizant
3.75 LPA
Venkatesh Iyengar

Venkatesh Iyengar

3.75 LPANOC Support Engineer

BharatHire.com
4.4 LPA
Lakshmi Menonon

Lakshmi Menonon

4.4 LPANetwork Administrator

Capgemini
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
5.1 LPA
Pawan Singh

Pawan Singh

5.1 LPARPA Developer

Infosys
7.83 LPA
Narayan

Narayan

7.83 LPARPA Business Analyst

Capgemini
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
40 LPA
Joseph

Joseph

40 LPAAWS Devops Engineer

Amazon
25 LPA
Sameer

Sameer

25 LPASalesforce Developer

Salesforce
30 LPA
Savitha Iyer

Savitha Iyer

30 LPAProject Administrator

Amazon
20 LPA
Jayanthi

Jayanthi

20 LPADigital Marketing Specialist

Zomato
12 LPA
Sangeetha

Sangeetha

12 LPASocial Media Manager

Rubrik
8 LPA
Kishore

Kishore

8 LPADigital Marketing Analyst

Wipro
8.5 LPA
Rekha

Rekha

8.5 LPAPerformance Marketer

Atlassian
4.3 LPA
Jestina

Jestina

4.3 LPADigital marketing specialist

zensar technologies
8 LPA
Sasidharan

Sasidharan

8 LPAPerformance Marketer

atlys
4.3 LPA
Vanaya

Vanaya

4.3 LPAAI Engineer

zensar technologies
7.5 LPA
Jyoti

Jyoti

7.5 LPAData Engineer

Velocity
4.5 LPA
Kaushik

Kaushik

4.5 LPASalesforce Developer

Tech Mahindra
8.45 LPA
Rohini

Rohini

8.45 LPAComputer Vision Engineer

nvidia
5 LPA
Shravya

Shravya

5 LPASAP FICO Analyst

accenture
5.8 LPA
Sandhya

Sandhya

5.8 LPASAP FICO Analyst

Sonata Software
4.2 LPA
Abhiram

Abhiram

4.2 LPAServicenow Developer

Prodapt
4.8 LPA
Krishna

Krishna

4.8 LPATOSCA Automation Engineer

Hexaware
8 LPA
Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
8 LPA
Rohan

Rohan

8 LPATosca Test Analyst

Cognizant
10 LPA
Muskan

Muskan

10 LPAMachine Learning Engineer

Fractal
4.4 LPA
Ritika

Ritika

4.4 LPATosca Administrator

QualityAI
5.7 LPA
Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
6 LPA
Amith

Amith

6 LPADevops Engineer

Meesho
7.15 LPA
Asha

Asha

7.15 LPADevSecOps Engineer

netsmartz
6.3 LPA
Anamika

Anamika

6.3 LPAAI Engineer

Fractal
7 LPA
Sai Krishna

Sai Krishna

7 LPAMLOps Engineer

First Source
5 LPA
Prachi

Prachi

5 LPAHR Executive

ABC Consultants
7 LPA
Rafiya

Rafiya

7 LPAData Scientist

Tredence
10 LPA
Rudra Lakshmi

Rudra Lakshmi

10 LPABrand Marketing Specialist

gojek
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance for DevOps Professionals in San Francisco

This course is built for learners who want more than tool knowledge. In San Francisco, employers expect candidates who can work with Linux, CI/CD, cloud platforms, containers, and monitoring from day one, and Inventateq focuses on that job readiness.

Our Signature Career Support:

  • Resume support focused on DevOps, cloud, and Linux keywords
  • Portfolio guidance for CI/CD, Docker, Kubernetes, and Terraform projects
  • Mock interviews for DevOps Engineer, Cloud Engineer, and SRE roles
  • Career mentoring for junior, mid-level, and senior transition paths
  • Support with interview preparation around Jenkins, AWS, Azure, and monitoring

DevOps Salary Insights in San Francisco

San Francisco companies hire DevOps professionals across tech, SaaS, cloud services, platform engineering, and infrastructure teams. Salary growth is driven by hands-on experience with automation, cloud deployment, observability, and production operations.

DevOps Average Salary by Experience

Why Students Choose Our DevOps Course in San Francisco?

4.7/5 Google Rating | 1,432+ Verified Reviews

4.7 / 5

By Google Reviews

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4.7 / 5

By Justdial

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4.7 / 5

By Sulekha Courses

4.7 / 5

By Course Suggest

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

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

0.0

GOOGLE RATING

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq DevOps Training Institute in San Francisco

Inventateq teaches DevOps with a clear practical sequence: Linux administration, shell scripting, Git, Maven, Jenkins, Docker, Kubernetes, Terraform, Ansible, monitoring, logging, and security. The training is built around implementation, so you work through CI/CD and production deployment tasks instead of only reading concepts.

We stand apart through our commitment to:

  • Learn to build end-to-end CI/CD pipelines
  • Practice Linux, Git, Jenkins, Docker, and Kubernetes in sequence
  • Work with Terraform, Ansible, Prometheus, Grafana, and ELK Stack
  • Get mentor support on projects, doubt clearing, and interview preparation
  • Choose schedules that fit learners starting from beginner or IT background
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online DevOps classes from San Francisco are taught in a structured, interactive format. You attend practical sessions in real time, follow the same lab flow, and get support for assignments, projects, and doubt clearing.

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 San Francisco

Software Developers

Useful for developers who want to move into CI/CD, containerization, and deployment automation.

System Administrators

Good fit for admins who want to expand into Linux automation, cloud, and infrastructure as code.

Cloud Engineers

Helps cloud-focused learners add Kubernetes, Terraform, monitoring, and release automation.

IT Managers

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

Project Managers

Helps PMs understand modern deployment workflows, release cycles, and production support.

Quick Highlights of Inventateq DevOps Course

Course Duration

  • Duration: 80 Hours

  • Mode: Offline classroom and live online options

  • Training Style: Hands-on practical implementation

  • Focus: DevOps, CI/CD, cloud, containers, and monitoring

No prior DevOps experience is required if you already have basic IT interest or system knowledge.

DevOps Curriculum for San Francisco

1. Linux System & Server Administration (Week 1)

W1
  • Linux architecture and kernel fundamentals
  • File systems, disk management, LVM, and swap
  • Users, groups, permissions, ACLs, and special permissions
  • Process management, system logs, package management, and boot services

2. Networking, Security, and Server Setup (Week 2)

W2
  • Networking configuration with IP, DNS, routing, and bonding
  • SSH hardening, firewall management, and SELinux concepts
  • Crontab scheduling, NFS, Samba, Apache, and Nginx setup
  • Performance tuning, troubleshooting, and server hardening

3. Shell Scripting for Automation (Week 3)

W3
  • Bash basics, variables, and user input handling
  • Conditions, loops, functions, arrays, and string manipulation
  • Error handling, exit codes, and process automation scripts
  • Backup automation, log monitoring, health checks, and deployment scripts

4. Git Version Control Workflow (Week 4)

W4
  • Git architecture and distributed workflow model
  • Repository setup, branching, merging, rebasing, and cherry-picking
  • Conflict resolution, hooks, workflows, tags, and releases
  • Feature flow and GitFlow style collaboration

5. Maven, SonarQube, and JFrog (Week 5)

W5
  • Maven lifecycle, POM structure, dependencies, plugins, and packaging
  • Multi-module project handling and repository management
  • SonarQube static analysis, quality gates, coverage, and vulnerability checks
  • JFrog artifact repository concepts and CI/CD integration

6. Jenkins CI/CD Pipeline Design (Week 6)

W6
  • Jenkins architecture and master-agent setup
  • Pipeline as code using declarative and scripted approaches
  • Workflow integration with Git, Maven, SonarQube, and Docker
  • Credentials management, webhooks, and distributed builds

7. Docker Containerization and Security (Week 7)

W7
  • Docker architecture, images, containers, and Dockerfile creation
  • Volumes, networking, Docker Compose, and private registry use
  • Container security best practices
  • AquaTrivy scanning for images and Kubernetes security checks

8. Kubernetes Orchestration (Week 8)

W8
  • Kubernetes architecture and cluster components
  • Pods, ReplicaSets, Deployments, Services, and Ingress
  • ConfigMaps, Secrets, volumes, namespaces, RBAC, and Helm charts
  • Autoscaling, rolling updates, rollbacks, and troubleshooting

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
  • Production infrastructure automation

10. Ansible Configuration Management (Week 10)

W10
  • Agentless architecture and inventory management
  • Playbooks, roles, variables, templates, and handlers
  • Dynamic inventory and CI/CD integration
  • Server provisioning and repeatable configuration management

11. Prometheus and Grafana Monitoring (Week 11)

W11
  • Metrics collection and PromQL
  • Alertmanager and Kubernetes monitoring
  • Node Exporter setup and alert tuning
  • Dashboard creation, visualization, and monitoring best practices

12. ELK Stack Logging and Observability (Week 12)

W12
  • Elasticsearch architecture and Logstash pipelines
  • Kibana dashboards and centralized logging
  • Log analysis and alerting
  • Observability for CI/CD and production systems

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

W13
  • Design an end-to-end DevOps pipeline
  • Move from code to build, scan, package, deploy, and monitor
  • Plan production deployment strategy and scaling
  • Implement high availability and a complete project workflow

Rated 4.9/5

Why Inventateq for DevOps Training in San Francisco?

Inventateq keeps the training practical and job-focused, so learners can connect each tool to a working DevOps flow. The course covers the full path from Linux administration and scripting to CI/CD, containers, cloud deployment, monitoring, and security.

Why Students Trust Inventateq San Francisco

  • Trainers explain concepts with live implementation and real tool usage
  • Curriculum is aligned to current DevOps delivery workflows
  • Supportive learning environment for beginners and working professionals
  • Projects cover automation, deployment, monitoring, and security
  • Placement guidance is tied to the roles students actually target

Build Practical DevOps Skills That Support Real Career Growth

You learn by doing the tasks DevOps teams handle every day: automating servers, building pipelines, deploying containers, and monitoring systems. The goal is to leave with usable skills and projects you can discuss clearly in interviews.

Work Across the Full DevOps Flow

You practice the full sequence from code commit to build, scan, package, deploy, and monitor. That means you understand how the tools connect instead of learning them separately.

Automate Linux and Deployment Tasks

Shell scripting and server administration help you build automation for backups, monitoring, and repeatable system work. This is useful for support, operations, and engineering roles.

Build CI/CD Pipelines

You create Jenkins pipelines that integrate Git, Maven, SonarQube, Docker, and deployment steps. This is the core workflow many DevOps interviews focus on.

Deploy Containers and Kubernetes Workloads

The course covers Docker images, registries, Kubernetes services, ingress, scaling, and rollout handling. You learn how to move from container basics to orchestration.

Manage Infrastructure as Code

Terraform and Ansible training gives you practical experience with provisioning and configuration. That helps for cloud and infrastructure roles where repeatability matters.

Add Monitoring and Security Checks

You work with Prometheus, Grafana, ELK Stack, and AquaTrivy so your deployments include visibility and scanning. These are essential parts of production support and DevSecOps work.

Certification for DevOps Training in San Francisco

The certification validates practical training across Linux, automation, CI/CD, containers, infrastructure as code, monitoring, and security. It shows that you have completed a structured DevOps program with hands-on implementation.

Linux administration and shell scripting

Earn this certificate upon successful completion of our training program.

Jenkins, Docker, and Kubernetes workflows

Validate your skills with recognized industry credentials.

Terraform, Ansible, Prometheus, and Grafana usage

Earn this certificate upon successful completion of our training program.

Git, Maven, SonarQube, JFrog, and ELK Stack exposure

Validate your skills with recognized industry credentials.

Detailed Insights: DevOps Training in San Francisco

Students Frequently Asked Questions

Is this DevOps course beginner friendly?

Yes, it can work for beginners with IT interest or a basic technical background. The course starts with Linux and shell scripting before moving into CI/CD, containers, and cloud deployment. That sequence makes it easier to follow even if you have not worked in DevOps before.

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

Yes, the syllabus includes hands-on practical implementation throughout the program. You work on pipeline design, containerization, orchestration, infrastructure as code, monitoring, logging, and production-style deployment flow. The final project follows a code to monitor sequence.

What job roles can I target after this course?

You can target roles like Junior DevOps Engineer, Cloud Engineer, Build and Release Engineer, Automation Engineer, SRE, and DevSecOps Engineer. With more experience, the path can extend toward DevOps Architect or Cloud Solutions Architect. The course content is mapped to those roles directly.

Do you provide placement assistance in San Francisco?

Yes, placement support includes resume help, project guidance, interview practice, and role-based mentoring. The support is focused on DevOps, cloud, Linux, and automation roles. It is meant to help you present your training in a way employers understand.

Can I take the course online from San Francisco?

Yes, live online training is available and follows the same practical curriculum. You can attend sessions in real time, ask questions, and complete hands-on tasks from your location. It is suitable for learners who prefer remote access but still want guided training.

How long is the DevOps training program?

The program duration is 80 hours. That gives enough time to cover the tools in sequence and still include practical implementation. The format is built for hands-on learning rather than short overview sessions.

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