Coming soon

    1. Planning and Project Setup

    2. Test Your Zaka - Planning and Project Setup

    1. Data Collection and Labeling

    2. Data Collection

    3. Data Storage

    4. Data Labeling

    5. Demo: LabelStudio

    6. Data Versioning

    7. Data Privacy

    8. Recap

    1. Phase 3: Model Training and Debugging

    2. Writing Code

    3. How to use Git?

    4. Hands-on: How to use Git

    5. Computing Hardware

    6. Cloud

    7. Linux Commands

    8. Model Training

    9. Hands-on: Experiment Tracking using MLFlow - part 1

    10. Hands-on: Experiment Tracking using MLFlow - part 2

    11. Demo: AWS SageMaker - part 1

    12. Demo: AWS SageMaker - part 2

    13. Model Testing

    14. Testing ML Systems

    15. Recap

    1. Phase 4: Model Deploying and Monitoring

    2. Deploying / Serving Models

    3. Cloud Deployment

    4. Hands-on: Deploying ML Models with Flask and Docker

    5. Performance Optimization

    6. Hands-on: Compressing ML Models

    7. Edge Deployment

    8. Monitoring Model Performance

    9. MLOps

    10. Recap

    1. A goodbye message from your instructor!

    2. Feedback survey

    3. Final words

About this course

  • $35.00
  • 44 lessons
  • 5 hours of video content