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NerdLevelTech
Intermediate

MLOps Fundamentals: ML Pipelines, Versioning & Production Infrastructure

Master the infrastructure and tools that power production ML systems. Learn data versioning with DVC, workflow orchestration with Kubeflow, feature stores with Feast, model serving with BentoML, and production monitoring with Evidently. Build the foundation for scalable, reproducible machine learning.

77 min24 lessons6 modulesDevOps

What you'll learn

  • Version data and models using DVC for reproducible experiments
  • Orchestrate ML workflows with Kubeflow pipelines
  • Implement feature stores using Feast for online/offline serving
  • Deploy models to production with BentoML packaging
  • Monitor model performance and data drift with Evidently

Course Content

  1. Introduction to MLOps

    4 lessons · 12 min
    • What is MLOps?No signup3 min
    • Locked until you enrollThe ML Lifecycle3 min
    • Locked until you enrollMLOps Maturity Levels3 min
    • Locked until you enrollInfrastructure Patterns3 min
    • Quiz: Module 1: Introduction to MLOps

  2. Data & Model Versioning with DVC

    4 lessons · 16 min
    • Locked until you enrollDVC Fundamentals4 min
    • Locked until you enrollVersioning Datasets4 min
    • Locked until you enrollVersioning Models4 min
    • Locked until you enrollExperiment Reproducibility4 min
    • Quiz: Module 2: Data & Model Versioning with DVC

  3. ML Workflow Orchestration

    4 lessons · 14 min
    • Locked until you enrollPipeline Concepts3 min
    • Locked until you enrollKubeflow Pipelines4 min
    • Locked until you enrollAirflow for ML4 min
    • Locked until you enrollPrefect & Alternatives3 min
    • Quiz: Module 3: ML Workflow Orchestration

  4. Feature Stores & Feature Engineering

    4 lessons · 12 min
    • Locked until you enrollWhy Feature Stores?3 min
    • Locked until you enrollFeast Deep Dive4 min
    • Locked until you enrollFeature Engineering Pipelines3 min
    • Locked until you enrollTecton & Cloud Alternatives2 min
    • Quiz: Module 4: Feature Stores & Feature Engineering

  5. Model Registry & Serving

    4 lessons · 12 min
    • Locked until you enrollModel Registry Concepts3 min
    • Locked until you enrollMLflow Model Registry3 min
    • Locked until you enrollModel Serving with BentoML3 min
    • Locked until you enrollCanary Deployments & A/B Testing3 min
    • Quiz: Module 5: Model Registry & Serving

  6. ML Monitoring & Next Steps

    4 lessons · 11 min
    • Locked until you enrollData Drift Detection3 min
    • Locked until you enrollModel Performance Monitoring3 min
    • Locked until you enrollML Governance & Compliance3 min
    • Locked until you enrollNext Steps & Your MLOps Journey2 min
    • Quiz: Module 6: ML Monitoring & Next Steps