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NerdLevelTech
Intermediate

CI/CD for AI/ML Pipelines: Automated Testing, Deployment & GitOps

Master continuous integration and deployment for machine learning systems. Learn GitHub Actions and GitLab CI/CD for ML workflows, data validation with Great Expectations and Pandera, experiment automation with DVC and CML, and GitOps deployment with ArgoCD. Build robust, automated pipelines that test, validate, and deploy ML models to production.

77 min24 lessons6 modulesDevOps

What you'll learn

  • Build ML workflows using GitHub Actions and GitLab CI/CD
  • Implement data validation pipelines with Great Expectations and Pandera
  • Automate ML experiments with DVC and CML for reproducibility
  • Deploy ML models using GitOps principles with ArgoCD
  • Design continuous training pipelines with automated retraining triggers

Course Content

  1. CI/CD Fundamentals for ML

    4 lessons · 12 min
    • Why ML Needs Specialized CI/CDNo signup3 min
    • Locked until you enrollCI/CD Pipeline Anatomy for ML3 min
    • Locked until you enrollContinuous Training (CT) Concept3 min
    • Locked until you enrollTool Landscape Overview3 min
    • Quiz: Module 1: CI/CD Fundamentals for ML

  2. GitHub Actions for ML Workflows

    4 lessons · 14 min
    • Locked until you enrollGitHub Actions Basics for ML4 min
    • Locked until you enrollTraining Pipelines in Actions4 min
    • Locked until you enrollModel Validation Workflows3 min
    • Locked until you enrollReusable Workflows & Best Practices3 min
    • Quiz: Module 2: GitHub Actions for ML Workflows

  3. GitLab CI/CD & Alternative Platforms

    4 lessons · 12 min
    • Locked until you enrollGitLab CI/CD for ML3 min
    • Locked until you enrollGitLab Model Registry Integration3 min
    • Locked until you enrollGPU Runners & Large Model Training3 min
    • Locked until you enrollPlatform Comparison & Migration3 min
    • Quiz: Module 3: GitLab CI/CD & Alternative Platforms

  4. Data Validation & Testing

    4 lessons · 14 min
    • Locked until you enrollData Validation in CI/CD3 min
    • Locked until you enrollGreat Expectations for Data Quality4 min
    • Locked until you enrollPandera for DataFrame Validation3 min
    • Locked until you enrollML Testing with pytest4 min
    • Quiz: Module 4: Data Validation & Testing

  5. DVC + CML for ML Automation

    4 lessons · 12 min
    • Locked until you enrollDVC in CI/CD Pipelines3 min
    • Locked until you enrollCML (Continuous ML) Setup3 min
    • Locked until you enrollAutomated Experiment Reports3 min
    • Locked until you enrollSelf-Hosted Runners for Training3 min
    • Quiz: Module 5: DVC + CML for ML Automation

  6. GitOps & Deployment Strategies

    4 lessons · 13 min
    • Locked until you enrollGitOps for ML Deployments3 min
    • Locked until you enrollArgoCD for Model Deployment3 min
    • Locked until you enrollCanary & Blue-Green for ML4 min
    • Locked until you enrollNext Steps & Your CI/CD Journey3 min
    • Quiz: Module 6: GitOps & Deployment Strategies