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Ihre Kompetenzen in der Google Cloud Console anwenden

Daniel Ensminger

Mitglied seit 2023

Bronze League

1800 Punkte
How Google Does Machine Learning Earned Aug 24, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud Earned Aug 20, 2023 EDT
Intro to ML: Image Processing Earned Aug 18, 2023 EDT
Einführung in Machine Learning: Language Processing Earned Aug 18, 2023 EDT
APIs für Machine Learning in Google Cloud verwenden Earned Aug 18, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals Earned Aug 13, 2023 EDT

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.

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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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Machine Learning gehört zu den am schnellsten wachsenden Technologiefeldern – und Google Cloud hat zu dessen Weiterentwicklung maßgeblich beigetragen. Dank zahlreicher APIs bietet Google Cloud ein Tool für nahezu jede Aufgabe im Bereich des maschinellen Lernens. In diesem Kurs für Einsteiger können Sie praktische Erfahrungen mit Machine Learning hinsichtlich der Sprachverarbeitung sammeln. Sie absolvieren Labs, in denen Sie Entitäten aus Text extrahieren, Sentiment- und Syntaxanalysen durchführen und die Speech-to-Text API für Transkriptionen verwenden.

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Sichern Sie sich das Skill-Logo für Fortgeschrittene, indem Sie den Kurs APIs für Machine Learning in Google Cloud verwenden abschließen – hier lernen Sie die grundlegenden Funktionen der folgenden Machine-Learning- und KI-Technologien kennen: Cloud Vision API, Cloud Translation API und Cloud Natural Language API.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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