Transform your organization with DevOps and Platform Engineering practices.

Master Infrastructure as Code, CI/CD pipelines, observability and GitOps to accelerate deployments and ensure system reliability.

Why Train in Platform Engineering and DevOps in 2026?

Platform Engineering and DevOps have become essential pillars for accelerating delivery velocity while ensuring system quality and stability. In 2026, building self-service internal platforms, mastering CI/CD pipelines, Infrastructure as Code (Terraform, Pulumi), monitoring (Prometheus, Grafana), and automation are at the heart of any modern organization. Training in Platform Engineering and DevOps means acquiring skills to design developer-friendly platforms, deploy to production multiple times a day, reduce MTTR, improve team collaboration, and implement complete observability (logs, metrics, traces). Platform Engineering and DevOps are no longer optional: they are the engines of continuous agility and innovation.

Continuous Deployments

Deploy to production multiple times a day with robust CI/CD pipelines.

Improved Quality

Reduce bugs by 90% through automated testing and continuous quality control.

Enhanced Collaboration

Break down silos between Dev and Ops for better product velocity.

Complete Observability

Understand and diagnose your systems with monitoring, logs, and traces.

Who is this for?

Platform Engineering and DevOps concern all professionals involved in the software development lifecycle, from platform design to production operations. These practices break down silos between development and operations to accelerate value delivery and improve developer experience.

Beyond technical teams, decision-makers (CTO, Engineering Managers) must understand these practices to align their technology strategy, optimize infrastructure investments, and build high-performing organizations. Mastery of Platform Engineering and DevOps has become a major differentiating factor in the job market.

Platform Engineering & Automation Roles

Platform EngineerDevOps EngineerAutomation EngineerCI/CD EngineerInternal Developer Platform Lead

Reliability & Observability Roles

SRE (Site Reliability Engineer)Infrastructure EngineerObservability EngineerProduction Engineer

Leadership & Architecture Roles

DevOps ManagerPlatform ArchitectInfrastructure ArchitectTechnical LeadEngineering Manager

Browse our DevOps and Platform Engineering training by theme

Version Control

Master Git, GitLab, GitHub: workflows, branches, pull requests and team collaboration.

Explore →

CI/CD Pipelines

Automate your deployments with GitLab CI, GitHub Actions and DevOps best practices.

Explore →

Infrastructure as Code

Manage your infrastructure as code with Terraform, Ansible and modern automation tools.

Explore →

Observability & Monitoring

Implement complete observability and production metrics.

Explore →

Popular DevOps and Platform Engineering Training

SFEIR Institute best-sellers in DevOps and Platform Engineering.

SFEIR Institute

GitLab DevOps

GitLab is a DevOps platform that allows for the complete management of a software project's lifecycle, including source code management, continuous integration and continuous delivery (CI/CD), and project management. This two-day training is intended for development teams who wish to acquire the fundamental basics for using GitLab daily in every project stage. This training will allow teams to understand the majority of GitLab's functionalities to start using it on end-to-end projects.

2 d
Intermediate
GitLab
Best

GitLab CI/CD Training

This foundational class delves into the world of Continuous Integration, Continuous Delivery, and Continuous Deployment (CI/CD), empowering learners to streamline software development practices and deliver high-quality applications efficiently. Through hands-on labs and real-world scenarios, participants will gain end-to-end practice in the process of creating and running CI/CD pipelines within GitLab. This one-day session covers the fundamental structure of implementing CI/CD with GitLab and applying these concepts participants will apply CI/CD principles through building, testing, and deploying a sample application. Participants will explore strategies for troubleshooting issues, evaluating pipeline configurations, and incorporating best practices to promote code reusability and maintainability. By the end of the session, participants should have the skills to design, implement, and manage CI/CD pipelines for common project requirements, enabling faster time-to-market, improved collaboration, and enhanced software quality.

1 d
Fundamental
GitLab

GitLab Advanced CI/CD Training

This advanced class extends the knowledge and concepts of the foundational CI/CD class, adding the skills needed to implement CI/CD best practices across more complex use cases. Throughout this hands-on session, participants will explore GitLab CI/CD features like feature flags, review apps, canary deployments, and runner scaling/distribution strategies. The curriculum covers additional configuration options such as multi-project pipelines, merge trains, and environment management. Optimization techniques like fail-fast testing, parallelization, and reference tags are examined for enhancing efficiency. Revisiting best practices and troubleshooting strategies round out the content, equipping learners to implement CI/CD pipelines leveraging the full scope of GitLab's capabilities.

1 d
Advanced
GitLab

GitLab Agile Portfolio Management Training

Learn the skills you need to start using GitLab for project management, program management, and portfolio management. You'll cover structuring your organization, project planning, task management, progress tracking, collaboration, reporting, portfolio management, risk management, continuous improvement, and scaling Agile with GitLab. This course covers some features that are available in all three GitLab pricing tiers (Free, Premium, and Ultimate), some features that are only available in Premium and Ultimate, and a small number of features that are only available in Ultimate.

1 d
Fundamental
GitLab

GitLab Duo Principles Training

Explore the power of AI in across your DevSecOps workflows with our GitLab Duo Principles Training. This concise, half-day, instructor-led training is meticulously crafted to empower your teams with critical insights and techniques to effectively utilize AI-driven functionalities across the entire SDLC. Participants will engage in hands-on labs designed to demonstrate the practical benefits of integrating AI tools, enhancing productivity, and optimizing workflows through the innovative features of GitLab Duo.

1 d
Fundamental

Need a custom DevOps training program?

We adapt our DevOps training to your specific needs: customized content, business pipelines, flexible scheduling, and dedicated support.