Develop AI-Powered Prototypes in Google AI Studio
Earned jan. 10, 2026 EST
Working with Notebooks in Vertex AI
Earned avr. 17, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned avr. 15, 2025 EDT
Planetary Scale Earth Observation with Google Earth Engine
Earned avr. 14, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 2, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned avr. 2, 2025 EDT
Build a Certification Study Guide: PMLE
Earned mars 27, 2025 EDT
Complete the introductory Develop AI-Powered Prototypes in Google AI Studio skill badge to demonstrate skills in the following: crafting effective prompts, leveraging multimodal capabilities for image and video analysis, prototyping functional AI-driven applications from templates and text prompts, and utilizing API keys to build and deploy custom AI solutions.
En savoir plus
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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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
En savoir plus
Learn how public sector agencies and academic researchers leverage Google Earth Engine to distill meaningful insights from petabytes of Earth Observation at planetary scale. Google Earth Engine is a fully managed geospatial platform that has enabled research for more than a decade in environmental areas such as forestry, agriculture, water, and sustainability.
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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.
En savoir plus
Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
En savoir plus
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.
Develop AI-Powered Prototypes in Google AI Studio
Earned jan. 10, 2026 EST
Working with Notebooks in Vertex AI
Earned avr. 17, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned avr. 15, 2025 EDT
Planetary Scale Earth Observation with Google Earth Engine
Earned avr. 14, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 2, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned avr. 2, 2025 EDT
Build a Certification Study Guide: PMLE
Earned mars 27, 2025 EDT