Intro to CI/CD Pipeline Configuration for MLOps Engineers
Master the essentials of CI/CD for MLOps, from core principles to hands-on GitHub Actions YAML configuration for automated model lifecycles.
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Foundations of CI/CD for MLOps
Unit 1: Introduction to CI/CD for MLOps
What is CI/CD?
CI/CD for Machine Learning
CI, CD, and CT in MLOps
Unit 2: Anatomy of an MLOps Pipeline
Pipeline Stages Overview
Source Control & Data
Build & Test for ML
Deployment & Monitoring
Configuring MLOps Pipelines with GitHub Actions
Unit 1: GitHub Actions Fundamentals
YAML: The Workflow Language
Your First GitHub Action
Jobs, Steps, and Runners
Unit 2: MLOps Workflow Configuration
Data Versioning & Prep
Model Training Workflows
Artifacts & Model Registry
Model Deployment Pipelines
Unit 3: Securing and Troubleshooting Pipelines
Secrets & Access Control
Debugging Workflow Failures