CI/CD for ML with GitHub Actions – Automate Test-Train-Deploy Pipelines
30 Days of MLOps Challenge: Day 12
By Sandip Das · · 7 min read
💡
Hey — It's Sandip Das 👋
We should learn CI/CD with GitHub Actions to ensure reliable, automated testing, training, and deployment of ML models, reducing manual errors and accelerating iteration cycles.
It brings reproducibility, version control, and scalability to the entire ML workflow.
We should learn CI/CD with GitHub Actions to ensure reliable, automated testing, training, and deployment of ML models, reducing manual errors and accelerating iteration cycles.
It brings reproducibility, version control, and scalability to the entire ML workflow.
📚 Key Learnings
- Why CI/CD is important in ML workflows
- How to automate ML workflows: testing, training, packaging, and deployment
- Writing and configuring GitHub Act
Read the full article on learnxops.com.
Topics: MLOps, CI/CD, Community, DevOps, 30 Days of MLOps