محتويات الدورة

• Course Introduction
  • Welcome to the Course!
  • About ZAKA
  • A message from the instructor
  • Best practices & tips for success
  • How to get support?
  • Check your readiness
• Phase 1: Planning and Project Setup
  • Planning and Project Setup
  • Test Your ZAKA - Planning and Project Setup
• Phase 2: Data Collection and Labeling
  • Data Collection and Labeling
  • Data Collection
  • Data Storage
  • Data Labeling
  • Demo: LabelStudio
  • Data Versioning
  • Data Privacy
  • Recap
• 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
• 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
• Course Wrap-Up
  • A goodbye message from your instructor!
  • Final words
  • Feedback survey
  • Testimonial