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Course: Build, Train, and Deploy ML Pipelines using BERT. Click here to go back.
- Course 2 overview
- Week 1 Outline
- Introduction to Feature Engineering
- Feature Engineering Steps
- Feature Engineering Pipeline
- BERT: Bidirectional Encoder Representations from Transformers
- BERT: Example
- Feature Engineering: At scale with Amazon SageMaker Processing Jobs
- Feature Store
- Amazon SageMaker Feature Store
- Week 1 Summary
- Week 2 Introduction
- Train and Debug a Custom Machine Learning Model
- Pre-trained models
- Pre-trained BERT models
- Train a custom model with Amazon SageMaker
- Debug and profile models
- Debug and Profile Models with Amazon SageMaker Debugger
- Week 2 Summary
- Week 3 Outline
- Machine Learning Operations (MLOps) Overview
- Creating Machine Learning Pipelines
- Model Lineage & Artifact Tracking
- Machine Learning Pipelines with Amazon SageMaker Pipelines
- Machine Learning Pipelines with Amazon SageMaker Projects
- Amazon SageMaker Projects Demo
- Week 3 Summary