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  1. Урок 1. 00:01:09
    Introduction
  2. Урок 2. 00:04:11
    Video 1 - Overview of end-to-end ML development cycle
  3. Урок 3. 00:03:27
    Video 2 - Overview of the Data Scientist role in ML application development
  4. Урок 4. 00:14:55
    Video 3 - Course ML Solution Overview
  5. Урок 5. 00:03:04
    Video 4 - Installing Conda and Docker
  6. Урок 6. 00:02:14
    Video 5 - Overview of Application Development Steps
  7. Урок 7. 00:06:51
    Video 6 - Overview of the ML Project Structure
  8. Урок 8. 00:22:23
    Video 7 - EDA Analysis of the Data
  9. Урок 9. 00:25:22
    Video 8 - Building an ML Model
  10. Урок 10. 00:18:22
    Video 9 - Building Training Pipeline
  11. Урок 11. 00:15:24
    Video 10 - Building Inference Pipelines
  12. Урок 12. 00:14:33
    Video 11 - Building the UI App with Dash
  13. Урок 13. 00:19:41
    Video 12 - Introducing and running Docker
  14. Урок 14. 00:06:31
    Video 13 - Installing git and pushing code to GitHub
  15. Урок 15. 00:08:58
    Video 14 - Deploying application on cloud
  16. Урок 16. 00:08:32
    Video 15 - Summing up and next steps