Responsible Artificial Intelligence

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Navigating Generative AI Risks for Leaders (Coursera)

Apr 1st 2024
Navigating Generative AI Risks for Leaders (Coursera)
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This course delves into the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns.

Responsible AI - Principles and Ethical Considerations (Coursera)

Welcome to "Responsible AI – Principles and Ethical Considerations"! Dive deep into the very essence of Responsible AI with us. Uncover the significance of key principles shaping technology's future. From ethical considerations to fairness, transparency, and accountability, we discuss these principles with real-world examples, putting them into the context [...]

Introduction to Responsible AI (Coursera)

Mar 18th 2024
Introduction to Responsible AI (Coursera)
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.

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 [...]