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- 01 - Introduction
- 02 - Deploy: first try!
  - Api deploy
- 03 - Batch prediction
  - Part 1
  - Part 2
    - Sql
    - Db tool
    - Dot env
    - Aps02 sql
- 04 - Interview 01
  - Faq
  - Int01
- 05 - Docker
  - Intro
  - S3
  - Docker
- 06 - Message Broker
  - Intro
  - Rabbitmq
  - Celery
- 07 - Lambda Functions
  - Part 1
  - Part 2
  - Part 3
- 08 - Queues
- 09 - Interview 02
  - Int02
- 10 - Documentation
- 11 - Logging
- 12 - CI/CD
- 13 - Tracking
  - Part 1
    - Intro
    - Mlflow
  - Part 2
    - Centralization
    - Model registry
- 14 - Interview 03
  - Int03
- 15 - Monitoring
  - Part 1
  - Part 2
    - Data drift ml
    - Performance degradation
- 16 - Data versioning
  - Part 1
    - Intro
    - Dvc
    - S3 storage
  - Part 2
    - Pipelines
    - Practicing
- 17 - Feature store
  - Intro
  - Feast
- 18 - Sagemaker
  - Intro
  - Sagemaker
- 19 - Interview 04
  - Int04

Machine Learning Ops & Interviews

Welcome to the Machine Learning Ops & Interviews (2024/2) material. Here you will find all the support material for the course, including links to deliver the assigments.

Important Links

Blackboard: primarily used for sending notifications!.
Course rules: you will find the criteria for approval. Read with attention!
Calendar: Insper's calendar (may be out of date).