Responsible Artificial Intelligence

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Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX)

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: Data [...]

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

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: [...]

¿Cómo hacer uso responsable de la inteligencia artificial en el sector público? (edX)

Este MOOC aborda los conceptos, principios, desafíos y oportunidades del uso ético y responsable de la inteligencia artificial (IA) para el sector público. Presenta herramientas para garantizar estándares mínimos, así como para fortalecer la calidad de los datos y de los modelos de IA desde su diseño hasta su [...]

Applications of TinyML (edX)

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition. Do you know what happens when you say “OK Google” to a Google [...]