- Lab
-
Libraries: If you want this lab, consider one of these libraries.
- Core Tech
Implement an Intelligent CI/CD Pipeline
In this lab, you will learn how to integrate machine learning into a complete CI/CD pipeline using GitHub Actions and Python. You'll build an intelligent workflow that predicts pipeline failures, runs self-healing tests, and monitors performance metrics.
Lab Info
Table of Contents
-
Challenge
Construct an integrated, multi-stage CI/CD pipeline and demonstrate end-to-end functionality
You'll build a complete CI/CD pipeline that uses machine learning to predict failures before they occur. The pipeline consists of five stages: predict, build, test, deploy, and monitor. The predictive model analyzes code metrics like test coverage, code complexity, and past failure history to calculate a failure probability score.
-
Challenge
Establish continuous improvement mechanisms for the intelligent pipeline
You'll learn how to implement monitoring to track the model's accuracy over time, detect drift when the model's predictions become less reliable, and establish automated retraining workflows. This creates a feedback loop that continuously improves the pipeline's performance.
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
Follow your guide
All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.