Course curriculum

    1. Segment 00: Reading - Welcome to the Course: Course Overview

    2. Segment 01: Introduction and Welcome

    3. Segment 02: What is MLOps

    4. Segment 03: Key Components of MLOps

    5. Segment 04: Building Your First MLOps Pipeline with Docker and MLflow

    6. Segment 05: Hands On Learning - Deploying and Monitoring ML Models with MLOps 1

    7. Segment 06: Reading - Why MLOps Is Critical to The Future Of Your Business

    1. Segment 07: Introduction to CICD for ML

    2. Segment 08: Designing Effective CICD Pipelines

    3. Segment 09: Automating ML Model Deployments with CI-CD

    4. Segment 10: Hands On Learning - Automating ML Model Deployment with CI/CD Pipelines 1

    5. Segment 11: Reading - Building Robust CI/CD for ML Systems

    1. Segment 12: Model Monitoring Techniques

    2. Segment 13: Automating Model Monitoring with Tools

    3. Segment 14: Building Dashboards for ML Model Monitoring

    4. Segment 15: Hands On Learning - Automating Model Monitoring and Performance Tracking

    5. Segment 16: Reading - The Importance of Model Monitoring

    6. Segment 17: Project: Loan Prediction Model

    7. Segment 18: Quiz - Operationalizing ML Models: MLOps for Scalable AI

About this course

  • Free
  • 19 lessons
  • 1.5 hours of video content

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