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NerdLevelTech
Intermediate

MLOps Engineer Interviews: Infrastructure, Pipelines & Production ML

Master MLOps engineer interviews with comprehensive preparation covering Kubernetes orchestration, ML pipeline design, model serving infrastructure, monitoring systems, and CI/CD for machine learning. Includes real interview questions from FAANG, unicorns, and ML-first companies.

105 min24 lessons6 modulesCareer

What you'll learn

  • Answer Kubernetes and container orchestration interview questions
  • Design ML pipeline architectures for production scale
  • Explain model serving infrastructure trade-offs
  • Discuss monitoring and alerting strategies for ML systems
  • Demonstrate CI/CD expertise for machine learning workflows

Course Content

  1. MLOps Interview Landscape

    4 lessons · 17 min
    • What is an MLOps Engineer?No signup4 min
    • Locked until you enrollCompany Tiers and Expectations4 min
    • Locked until you enrollInterview Formats and Rounds4 min
    • Locked until you enrollYour 90-Day Study Plan5 min
    • Quiz: Module 1: MLOps Interview Landscape

  2. Infrastructure & Deployment

    4 lessons · 19 min
    • Locked until you enrollDocker for ML Models5 min
    • Locked until you enrollKubernetes for ML Workloads5 min
    • Locked until you enrollModel Serving Infrastructure5 min
    • Locked until you enrollCloud ML Infrastructure4 min
    • Quiz: Module 2: Infrastructure & Deployment

  3. ML Pipelines & Orchestration

    4 lessons · 18 min
    • Locked until you enrollPipeline Orchestration Fundamentals4 min
    • Locked until you enrollAirflow vs Kubeflow vs Prefect5 min
    • Locked until you enrollFeature Stores and Data Versioning5 min
    • Locked until you enrollPipeline Design Patterns4 min
    • Quiz: Module 3: ML Pipelines & Orchestration

  4. Monitoring & Observability

    4 lessons · 17 min
    • Locked until you enrollModel Drift Detection5 min
    • Locked until you enrollExperiment Tracking and Model Registry4 min
    • Locked until you enrollInfrastructure Monitoring for ML4 min
    • Locked until you enrollLogging and Debugging ML Systems4 min
    • Quiz: Module 4: Monitoring & Observability

  5. CI/CD for ML Systems

    4 lessons · 18 min
    • Locked until you enrollML Testing Strategies5 min
    • Locked until you enrollGitHub Actions for ML Pipelines5 min
    • Locked until you enrollML Deployment Strategies4 min
    • Locked until you enrollGitOps and Infrastructure as Code4 min
    • Quiz: Module 5: CI/CD for ML Systems

  6. Behavioral & Negotiation

    4 lessons · 16 min
    • Locked until you enrollIncident Response Stories4 min
    • Locked until you enrollCross-Team Collaboration Stories4 min
    • Locked until you enrollSalary Negotiation Strategies4 min
    • Locked until you enrollOffer Evaluation Framework4 min
    • Quiz: Module 6: Behavioral & Negotiation