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Juan Cabello

Member since 2026

Gold League

2589 points
Responsible AI for Developers: Interpretability & Transparency Earned مارس 27, 2026 EDT
Responsible AI for Developers: Privacy & Safety Earned مارس 27, 2026 EDT
Working with Notebooks in Vertex AI Earned مارس 14, 2026 EDT
Responsible AI for Developers: Fairness & Bias Earned مارس 14, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud Earned مارس 4, 2026 EST
Build a Certification Study Guide: PMLE Earned فبراير 28, 2026 EST

This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.

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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.

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This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.

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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.

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