
GitLab CI: Pipelines, CI/CD and DevOps for Beginners
Coupon Verified on December 10th, 2024

Course Name : GitLab CI: Pipelines, CI/CD and DevOps for Beginners
Students : 110,385
Duration : 5 hrs & 29 downloadable resources
Avg Rating : 4.6 (19,129 ratings)
Original Price : $119.99
Discount Price : $10
Instructor / Provider : Udemy, Valentin Despa
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
What You’ll Learn
- Understand Pipelines: Learn the basics of what a pipeline is and how it works.
- Master CI/CD Concepts: Explore Continuous Integration (CI), Continuous Delivery (CD), and Continuous Deployment (CD) in-depth.
- Automate Processes with GitLab CI: Build, test, and deploy your applications automatically using GitLab CI.
- Follow Industry Best Practices: Gain insights into industry-standard “best practices” for building CI/CD pipelines.
- Boost Career Opportunities: Showcase your CI/CD expertise to potential employers by mastering pipeline creation.
- Automate Your Workflow: Automate builds, tests, and deployments for seamless delivery.
- Deploy Applications Using AWS: Perform automatic deployments with AWS services like S3 and Elastic Beanstalk.
- Enhance Code Quality: Build pipelines incorporating code quality checks, unit tests, and API testing.
- Solve Real-World Problems: Apply your knowledge with hands-on assignments.
- Collaborate Effectively: Create and manage Merge Requests and conduct code reviews.
- Use Dynamic Environments: Learn to work with dynamic environments for testing and deployments.
Frequently Bought Together
Course Highlights
- Understand GitLab Architecture: Gain a clear overview of how GitLab is structured.
- Build a Simple Pipeline: Create your first pipeline and understand its core components.
- Hands-On CI/CD Practice: Deploy a simple website to get practical experience with CI/CD workflows.
- Leverage Docker with GitLab: Learn to integrate and use Docker images within your GitLab pipelines.
- Deploy Java Applications to AWS: Master deploying Java applications using AWS S3 and AWS Elastic Beanstalk.