MLOPS Github Action With CICD Pipeline
Skills:
CI/CD Pipelines90%
Key Takeaways
This video teaches how to implement MLOPS using GitHub Actions for continuous integration and continuous deployment in machine learning projects
Original Description
The episode provides an in-depth tutorial on using GitHub Actions for continuous integration and continuous deployment (CI/CD) within machine learning and other software projects. It walks through the concepts, key components, and a practical example of automating workflows in GitHub to streamline software development processes.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: CI/CD Pipelines
View skill →Related Reads
📰
📰
📰
📰
AWS Self-Healing Infrastructure: Catching and Fixing Server Crashes with AI Autopilot
Medium · DevOps
Understanding a Real AWS CodePipeline CI/CD Flow: Source Build Deploy"
Dev.to · Guna SantoshDeep Srivastava
How to Use Terraform with Python for Infrastructure
Dev.to · qing
Interactive containers and exec: get inside, run commands, get out
Dev.to · Javi Palacios
🎓
Tutor Explanation
DeepCamp AI