Ihre Kompetenzen in der Google Cloud Console anwenden
Vitor Fernando
Mitglied seit 2022
Silver League
4400 Punkte
Geschütztes Google Cloud-Netzwerk erstellen
Earned Jan 27, 2023 EST
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Jan 26, 2023 EST
Cloud Load Balancing in der Compute Engine implementieren
Earned Jan 26, 2023 EST
Daten für ML-APIs in Google Cloud vorbereiten
Earned Jan 17, 2023 EST
Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten
Earned Jan 16, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jan 3, 2023 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Earned Dez 29, 2022 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales
Earned Dez 28, 2022 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned Dez 27, 2022 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Earned Dez 26, 2022 EST
Sichern Sie sich ein Skill-Logo, indem Sie den Kurs Geschütztes Google Cloud-Netzwerk erstellen abschließen. Dabei lernen Sie verschiedene netzwerkbezogene Ressourcen kennen, mit denen Sie Ihre Anwendungen in Google Cloud erstellen, skalieren und schützen können.
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Erhalten Sie ein Skill-Logo, indem Sie den Kurs „Umgebung für die Anwendungsentwicklung in Google Cloud einrichten“ abschließen. Dabei lernen Sie, wie Sie eine speicherorientierte Cloud-Infrastruktur mithilfe der grundlegenden Funktionen der folgenden Technologien erstellen und verbinden: Cloud Storage, Identity and Access Management, Cloud Functions und Pub/Sub.
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Mit dem Skill-Logo zum Kurs Cloud Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: virtuelle Maschinen in der Compute Engine erstellen und bereitstellen und Netzwerk- und Application Load Balancer konfigurieren.
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Mit dem Skill-Logo zum Kurs Daten für ML-APIs in Google Cloud vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Bereinigen von Daten mit Dataprep von Trifacta, Ausführen von Datenpipelines in Dataflow, Erstellen von Clustern und Ausführen von Apache Spark-Jobs in Dataproc sowie Aufrufen von ML-APIs, einschließlich der Cloud Natural Language API, Cloud Speech-to-Text API und Video Intelligence API.
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Mit dem Skill-Logo zum Kurs Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Erstellen von Pipelines für die Datentransformation nach BigQuery mithilfe von Dataprep von Trifacta; Extrahieren, Transformieren und Laden (ETL) von Workflows mit Cloud Storage, Dataflow und BigQuery; und Erstellen von Machine-Learning-Modellen mithilfe von BigQuery ML.
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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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This course, Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud. The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Googl…
Weitere Informationen
This course, Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Networking & Security in Google Cloud.
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Dat…
Weitere Informationen
This course, Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Infrastructure in Google Cloud. The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google C…
Weitere Informationen
This course, Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Cloud Computing Fundamentals .The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
…
Geschütztes Google Cloud-Netzwerk erstellen
Earned Jan 27, 2023 EST
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Jan 26, 2023 EST
Cloud Load Balancing in der Compute Engine implementieren
Earned Jan 26, 2023 EST
Daten für ML-APIs in Google Cloud vorbereiten
Earned Jan 17, 2023 EST
Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten
Earned Jan 16, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jan 3, 2023 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Earned Dez 29, 2022 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud - Locales
Earned Dez 28, 2022 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned Dez 27, 2022 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Earned Dez 26, 2022 EST