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 kodestree?
kodestree’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
- 24×7 post-training support and doubt resolution
- Money-back guarantee on classroom programs
