CI/CD Training Online

This CI/CD Training goes beyond tool tutorials. You'll design production-style pipelines, secure them against supply-chain risks, and deploy to Kubernetes using GitOps patterns like Argo CD and Flux. Every module pairs theory with a lab, so you leave with a portfolio of pipelines you built yourself, not lecture notes. The program also covers AI-assisted pipeline automation and DevSecOps practices that most 2026 employers expect from every DevOps hire.

Prerequisites

• Basic understanding of the software development lifecycle
• Familiarity with any programming or scripting language (Python, Java, Node.js, or similar)
• Comfort working from the command line
• Basic knowledge of Git and version control concepts
• No prior pipeline experience required - the early modules are structured as CI/CD for Beginners before the course moves into advanced, production-grade material

Course Objectives

• Understand how CI/CD fits into modern DevOps, SRE, and platform engineering workflows
• Build automated pipelines using GitHub Actions, Jenkins, and GitLab CI
• Containerize applications with Docker and deploy them through Kubernetes-based pipelines
• Apply GitOps principles using Argo CD and Flux for continuous deployment
• Integrate security scanning, secrets management, and compliance checks into every pipeline stage
• Diagnose failed builds, flaky tests, and deployment rollbacks under real time pressure
• Complete a practical, project-based certification assessment

What You Will Learn

• Designing CI/CD pipelines from source commit to production deployment
• Writing pipeline-as-code (Jenkinsfile, GitHub Actions YAML, GitLab CI YAML)
• Building, tagging, and optimizing Docker images for fast, secure builds
• Deploying and rolling back releases on Kubernetes using GitOps workflows
• Provisioning infrastructure through Terraform and Ansible inside a pipeline
• Adding SAST, DAST, and dependency scanning to catch vulnerabilities before release
• Reading DORA metrics (deployment frequency, lead time, MTTR, change failure rate) to judge pipeline health
• Using AI-assisted tools to author pipelines faster and triage build failures

Who Should Enroll in This Course?

This program is built for professionals ready to Learn CI/CD from the ground up, and for practitioners who want to formalize skills they've already picked up on the job:

• Software developers who want to own their code through to deployment
• System administrators and IT operations staff moving into DevOps roles
• QA engineers who want to automate testing inside delivery pipelines
• Cloud engineers on AWS, Azure, or GCP who need pipeline skills
• Site reliability engineers responsible for release velocity and uptime
• Computer science graduates and career switchers targeting DevOps or platform engineering roles
• Team leads evaluating or standardizing CI/CD tooling for their organization

Skills You Will Gain

• Pipeline design and YAML-based workflow configuration
• Container build strategy and image optimization
• Kubernetes deployment, scaling, and rollback strategies
• Infrastructure as Code with Terraform and Ansible
• Pipeline security: scanning, secrets management, and image signing
• Debugging failed builds and flaky tests under release pressure
• Writing pipeline documentation teams can actually follow
• Choosing the right CI/CD tool for a given release process
• Collaborating with security and platform teams on shared pipelines

Tools Covered

• GitHub Actions
• Jenkins (Pipeline as Code)
• GitLab CI/CD
• Azure DevOps Pipelines
• Docker
• Kubernetes
• Argo CD and Flux (GitOps)
• Terraform and Ansible
• SonarQube
• Trivy and Snyk (vulnerability scanning)
• Prometheus and Grafana

Career Outcomes

Completing this program positions you for roles where pipeline ownership is now a baseline expectation, not a bonus skill:

• DevOps Engineer
• Site Reliability Engineer (SRE)
• Build and Release Engineer
• Platform Engineer
• Cloud DevOps Engineer
• DevSecOps Engineer
• CI/CD Pipeline Administrator

Why Choose igmGuru?

igmGuru's CI/CD Online Training is built around real pipelines, not slide decks — here's what sets it apart:

• Live instructor-led sessions plus lifetime access to recordings
• Hands-on labs in every module, not only at the end
• Small batch sizes for direct instructor interaction
• Trainers with production DevOps and platform engineering experience
• Real-world capstone project reviewed by an instructor
• Flexible weekday, weekend, and fast-track batches
• 24x7 post-training support and doubt resolution
• Money-back guarantee on classroom programs