GitLab CI - A Complete Hands-On for CI/CD Pipelines & DevOps
Learn A to Z of GitLab CI CD in DevOps with Real-time HandsOn; Build & Deploy GitLab CICD pipeline in Docker, Heroku etc
4.39 (3833 reviews)
24 859
students
8 hours
content
May 2025
last update
$84.99
regular price
What you will learn
Learn Full In & Out of GitLab CI/CD with proper HANDS-ON examples from scratch.
Crash Course on DevOps and CI/CD (Continuous Integration, Continuous Delivery, Continuous Deployment) Concept.
GitLab core concepts - Pipeline, Stages, Jobs, Artifacts, Runners, Variables, Environments and many more..
ADVANCE GitLab CI/CD concepts, the explanation to which is not very clear even in GitLab's Official Documentation.
Create complete GitLab CI CD, DevOps pipelines to automate the build, test and deploy phases.
A Real-Time industry standard GitLab CICD pipeline for Continuous Integration, Continuous Delivery, Deployment of the 'Employee Portal' Python web application.
Deploy GitLab CI pipelines on Heroku Cloud.
Codes and Data-sets are available in resources tab.
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Comidoc Review
Our Verdict
The GitLab CI - A Complete Hands-On for CI/CD Pipelines & DevOps course provides a thorough exploration of GitLab's CI/CD features using practical hands-on examples. It caters to beginners while extending advanced concepts, ensuring students understand essential pipelines and their applications. Although certain areas lack detail or clarity, this GitLab CI/CD tutorial encourages learning from real issues. Enhancing quiz questions and addressing grammar can improve the course experience further. Covering Kubernetes, AWS/Azure/GCP deployments would make this an even more valuable resource.
What We Liked
- Covers GitLab CI/CD concepts from beginner to advanced levels with real-world hands-on examples starting from scratch.
- Industry-standard GitLab CI/CD pipeline created for Continuous Integration, Delivery, and Deployment of a Python web application.
- Detailed explanation of core GitLab concepts like pipelines, stages, jobs, artifacts, runners, variables, environments, and more.
- Instructor shares best practices, addressing poorly constructed scenarios and improving maintainability and operation of the pipeline.
Potential Drawbacks
- A few areas need improvement in detail or clarity, requiring personal research or external help to understand better.
- Some quiz questions could be enhanced, and grammar may not always be perfect, but these do not hinder learning significantly.
- Heroku deployment is helpful but not on the enterprise level; covering Kubernetes, AWS/Azure/GCP deployments would add value.
Related Topics
4253350
udemy ID
20/08/2021
course created date
02/10/2021
course indexed date
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