GitLab CI - A Complete Hands-On CI/CD Pipeline Course
Duration: 4 days (32 hours)\
Prerequisite: Basic knowledge of Linux, DevOps, containers, and CI/CD\
Applications Required: Git, GitLab, and Docker
Our intensive GitLab CI course is designed to provide a comprehensive understanding of CI/CD pipelines using GitLab. You'll delve into GitLab's interface, pipeline creation, GitLab Runners, and the use of variables. By building real-world projects, you'll gain practical skills in deploying applications to environments like Heroku.
Hands-On Learning Objectives:
- Master CI/CD concepts and their importance.
- Navigate and utilize GitLab's UI effectively.
- Create, execute, and optimize pipelines.
- Set up and run GitLab Runners on your local machine.
- Implement job templates and manage pipelines efficiently using YAML.
This hands-on approach ensures you'll leave the course not just with theoretical knowledge but with practical experience you can immediately apply.
Purchase This Course
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
Prerequisites for GitLab CI - A Complete Hands-On CI/CD Pipeline Course:
These prerequisites ensure that you have the necessary foundation to fully benefit from and actively participate in the course. If you are new to any of these areas, we recommend some preliminary study or preparatory courses to get you up to speed.
1. Brief Introduction: The GitLab CI - A Complete Hands-On CI/CD Pipeline course offers 32 hours of immersive training for IT professionals looking to master CI/CD pipelines using GitLab, Docker, and more.
2. Target Audience:
DevOps Engineers
Software Developers
System Administrators
Release Engineers
Build and Release Managers
Automation Engineers
IT Managers involved in CI/CD implementation
Quality Assurance (QA) Engineers
Infrastructure Engineers
Continuous Integration (CI) Engineers
Site Reliability Engineers (SREs)
Technical Project Managers overseeing software development projects
Cloud Engineers working with CI/CD tools
Tech Leads and Architects aiming to implement CI/CD practices
Engineers transitioning from traditional SDLC to DevOps methodologies
Introduction to the Course: The GitLab CI - A Complete Hands-On CI/CD Pipeline course provides comprehensive training on building, deploying, and maintaining CI/CD pipelines using GitLab. The course focuses on practical, hands-on experience to ensure proficiency in pipeline setup and execution.
Learning Objectives and Outcomes:
Understand CI/CD Concepts:
Navigate GitLab:
Pipeline Creation and Execution:
Pipeline Deep Dive:
Utilize GitLab Runners:
Manage Variables in GitLab:
1. Brief Introduction: The GitLab CI - A Complete Hands-On CI/CD Pipeline course offers 32 hours of immersive training for IT professionals looking to master CI/CD pipelines using GitLab, Docker, and more.
2. Target Audience:
DevOps Engineers
Software Developers
System Administrators
Release Engineers
Build and Release Managers
Automation Engineers
IT Managers involved in CI/CD implementation
Quality Assurance (QA) Engineers
Infrastructure Engineers
Continuous Integration (CI) Engineers
Site Reliability Engineers (SREs)
Technical Project Managers overseeing software development projects
Cloud Engineers working with CI/CD tools
Tech Leads and Architects aiming to implement CI/CD practices
Engineers transitioning from traditional SDLC to DevOps methodologies
Introduction to the Course: The GitLab CI - A Complete Hands-On CI/CD Pipeline course provides comprehensive training on building, deploying, and maintaining CI/CD pipelines using GitLab. The course focuses on practical, hands-on experience to ensure proficiency in pipeline setup and execution.
Learning Objectives and Outcomes:
Understand CI/CD Concepts:
Navigate GitLab:
Pipeline Creation and Execution:
Pipeline Deep Dive:
Utilize GitLab Runners:
Manage Variables in GitLab: