HIGAET DevOps Engineering
Build reliable delivery pipelines with Git, CI, automated testing, and safe releases, then operate observable infrastructure, manage incidents, and improve deployment speed with steady confidence.
Duration
12 weeks · 5-7 hours/week
Level
Intermediate
Delivery
Hybrid
Status
Open for enrollment
Why this technology matters.
DevOps engineering is the discipline of shipping software quickly without breaking it: shared Git workflows, automated builds and tests, and safe, repeatable releases. It turns anxious deploy days into routine, reviewed, reversible steps with clear signals when something goes wrong. It matters now because users expect frequent improvements and teams need speed with stability.
DevOps engineers design branching and review workflows, build continuous integration pipelines with tests and quality gates, and run staged rollouts with approvals and rollbacks plus observability and incident habits. It solves slow manual releases, inconsistent environments, and late discovery of defects. It does not fix unclear product decisions or poor code architecture, and dashboards and pipelines do not replace good testing culture.
By the end you will be able to build a continuous integration pipeline with automated tests and quality gates, a staged release workflow with approvals and rollback procedures, and an observable service setup with incident notes for collaborative delivery.
Why this course exists
The gap is between a demo that passes once and delivery that stays reliable across many contributors and frequent changes. This course teaches the arc from idea to code to test to release to operate and improve. You leave able to build safe pipelines, release in stages, and steadily improve deployment speed and reliability.
Know exactly what you're signing up for.
Who is this for
Prerequisites
- Comfortable with Git basics and command line
- Familiarity with software build and test concepts
- Basic scripting knowledge
- Understanding of application deployment basics
Technologies & tools
Skills you'll gain
A 12 weeks arc, module by module.
- Module 01
Module 01 — DevOps Foundations and Delivery Models
- Module 02
Module 02 — Git Workflows and Collaboration Practices
- Module 03
Module 03 — Continuous Integration and Quality Gates
- Module 04
Module 04 — Artifact Management and Environment Promotion
- Module 05
Module 05 — Continuous Delivery and Release Strategies
- Module 06
Module 06 — Infrastructure Automation and Configuration
- Module 07
Module 07 — Observability, Alerting, and Incident Response
- Module 08
Module 08 — Security Basics for Delivery Pipelines
- Module 09
Module 09 — Scaling Delivery Across Teams and Services
- Module 10
Module 10 — Capstone: Ship a Fully Automated Release Pipeline
Practical Training Flow
Learning → Guided Labs → Independent Practice → Industry Project → Capstone → Portfolio → Career Preparation. Practical hours are tracked alongside instructional hours and surfaced on the certificate.
Delivery as HIGAET Practical Training / Experiential Learning.
What you'll be able to do.
- Design branching, review, and merge workflows for collaborative delivery teams.
- Build continuous integration pipelines with automated tests and quality gates.
- Deploy applications using staged rollouts, approvals, and rollback procedures.
- Automate infrastructure provisioning with version-controlled configuration.
- Integrate artifact registries and environment promotion into release flows.
- Evaluate pipeline health using lead time, failure rate, and recovery metrics.
- Secure pipelines with scoped credentials, signing, and access controls.
- Optimize incident response with runbooks, postmortems, and on-call practices.
You will build.
Every project ships as HIGAET Practical Training / Experiential Learning — portfolio-ready work, not exercises.
- Project 01
Collaborative branching and review workflow
- Project 02
CI pipeline with automated tests and quality gates
- Project 03
Staged rollout with approvals and rollback
- Capstone
Observable delivery pipeline with incident runbook
Speak the language first.
- Git branching workflows
- Shared rules for branches, reviews, and merges that keep team changes organized and safe.
- Continuous integration pipelines
- Automated builds and tests that run on every change to catch defects early.
- Automated testing and quality gates
- Checks that block risky changes until tests and code standards pass.
- Staged rollouts
- Releases that reach users in small steps so problems are found before full launch.
- Approvals and rollback plans
- Review steps plus a tested revert path used when a release misbehaves.
- Observable infrastructure
- Systems that expose logs, metrics, and traces so teams can see delivery and runtime health.
- Incident management
- A repeatable process for detecting, responding to, and learning from service disruptions.
- Deployment frequency and lead time
- Measures of how often releases ship and how fast a change reaches production.
Fix, check, and go deeper.
Troubleshooting & common mistakes
Pipeline fails only on the CI runner
Compare local and runner dependency versions and environment variables, then pin versions in the pipeline config.
Merge conflicts block every sprint
Shorten branch lifetimes, pull main daily, and split work into smaller reviewable changes.
Staged rollout stalls halfway
Check stage health gates and approval steps, fix the failing check, then resume or roll back.
Rollback does not restore service
Verify the rollback targets both code and config versions, restore data snapshots if needed, and test the procedure.
Alerts fire but nobody acts
Tie each alert to an owner and runbook step, tune noisy thresholds, and review response in retros.
Before you move on, you should be able to
- Design branching, review, and merge workflows for delivery teams
- Build continuous integration pipelines with automated tests and quality gates
- Deploy applications using staged rollouts, approvals, and rollbacks
- Operate observable infrastructure tied to delivery health
- Manage incidents with clear roles and follow-up actions
- Improve deployment speed while keeping releases reliable
Start your application.
Share a few details and a HIGAET advisor will reach out within one business day with next steps.
Common questions
Continue in Cloud & Platform Engineering.
HIGAET Cloud Engineering
Learn cloud fundamentals hands-on across compute, networking, storage, and identity, then automate deployments, manage costs, monitor workloads, and operate production-ready infrastructure with confidence.
View CourseHIGAET Kubernetes Engineering
Operate Kubernetes workloads with confidence across pods, deployments, services, ingress, and storage, then package with Helm, observe clusters, and manage upgrades and reliability.
View CourseHIGAET DevSecOps
Shift security left across code, pipelines, images, and runtime by adding threat modeling, secrets handling, scanning, policy checks, monitoring, and disciplined incident response habits.
View CourseWhat should you learn next?
Ready to start HIGAET DevOps Engineering?
A 12 weeks course — Cloud & Platform Engineering.