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.
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Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX) EdX
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Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX)

Unlock the secrets to successful machine learning project deployment with our MLOps2-AWS course. Dive into automating and optimizing your data pipeline using powerful AWS tools. Perfect for data scientists, developers, and IT pros aiming to streamline their ML projects.

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

Transform your data science project from concept to successful implementation with Machine Learning Operations 1 (MLOps1-AWS). This comprehensive course on edX guides learners through the critical process of deploying AI and ML models using Amazon Web Services (AWS), addressing one of the primary challenges in data science: deployment. Learn how to effectively collaborate between data scientists and engineers, monitor model performance, and iterate for continuous improvement.

Self Paced
Self-Paced
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