Machine Learning Operations with Amazon Web Services (MLOps with AWS) Professional Certificate

What you will learn:
- How to create a pipeline using AWS to ingest data to train a predictive model and feed it as it operates.
- How to have the model score the data on an ongoing automated basis.
- How to design the pipeline to output a decision or action variable.
- How to continuously monitor several points of operation, including the incoming data (for data drift) and the decision outputs (for anomalies).
- How to forge an appropriate AI engineering role in your organization.

Self Paced

Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Course Auditing

Categories

Statistics & Data Analysis

Effort

Languages

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we [...]

Machine Learning Operations with Amazon Web Services (MLOps with AWS) Professional Certificate

Machine Learning Operations

Machine Learning Pipelines

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Self Paced

Course Auditing

Statistics & Data Analysis

143.00 EUR

Self Paced

Course Auditing

Categories

Statistics & Data Analysis

Effort

Languages

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOp2s: [...]

Machine Learning Operations with Amazon Web Services (MLOps with AWS) Professional Certificate

Machine Learning Operations

Continuous Integration

Continuous Deployment

CI/CD

Responsible Artificial Intelligence

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