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MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
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Overview
This is the second of three courses in the Machine Learning Operations Program using Amazon Web Services (AWS). Data Science, AI, and Machine Learning projects can deliver an amazing return on investment. But, in practice, most projects that look great in the lab (and would work if implemented!) never see the light of day. They could save or make the organization millions of dollars but never make it all the way into production. Whats going on? It turns out that...
Syllabus
- Week 1: The Machine Learning Pipeline
- AI Engineering Role
- ML pipeline lifecycle
- Week 2: The Model in the Pipeline
- Case Study for the Course
- Model Understanding
- Week 3: Monitoring Model Performance
- Logging and Metric Selection
- Model and Data Versioning
- Week 4: Training Artifacts and Model Store
Instructor
John Elder, IV
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