Coming soon

  • 1

    Course Introduction

  • 2

    Phase 1: Planning and Project Setup

    • Planning and Project Setup

    • Test Your Zaka - Planning and Project Setup
  • 3

    Phase 2: Data Collection and Labeling

    • Data Collection and Labeling

    • Data Collection

    • Data Storage

    • Data Labeling

    • Demo: LabelStudio

    • Data Versioning

    • Data Privacy

    • Recap
  • 4

    Phase 3: Model Training and Model Debugging

    • Phase 3: Model Training and Debugging

    • Writing Code

    • How to use Git?

    • Hands-on: How to use Git

    • Computing Hardware

    • Cloud

    • Linux Commands

    • Model Training

    • Hands-on: Experiment Tracking using MLFlow - part 1

    • Hands-on: Experiment Tracking using MLFlow - part 2

    • Demo: AWS SageMaker - part 1

    • Demo: AWS SageMaker - part 2

    • Model Testing

    • Testing ML Systems

    • Recap
  • 5

    Phase 4: Model Deploying and Model Monitoring

    • Phase 4: Model Deploying and Monitoring

    • Deploying / Serving Models

    • Cloud Deployment

    • Hands-on: Deploying ML Models with Flask and Docker

    • Performance Optimization

    • Hands-on: Compressing ML Models

    • Edge Deployment

    • Monitoring Model Performance

    • MLOps

    • Recap
  • 6

    Course Wrap-up

    • A goodbye message from your instructor!

    • Feedback survey

    • Final words