Intégrer le machine learning à des pipelines de données renforce la capacité à dégager des insights des données. Ce cours passera en revue plusieurs façons d'intégrer le machine learning à des pipelines de données sur Google Cloud. Vous découvrirez AutoML pour les cas ne nécessitant que peu de personnalisation (voire aucune), ainsi que Notebooks et BigQuery ML pour les situations qui requièrent des capacités de machine learning plus adaptées. Enfin, vous apprendrez à utiliser des solutions de machine learning en production avec Vertex AI.

Smart Analytics, Machine Learning, and AI on GCP en Français

Smart Analytics, Machine Learning, and AI on GCP en Français
This course is part of Data Engineer, Big Data and ML on Google Cloud en Français Specialization

Instructor: Google Cloud Training
Access provided by FutureX
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Faire la différence entre le ML, l'IA et le deep learning.
Discuter de l'utilisation des API de ML sur des données non structurées.
Exécuter des commandes BigQuery à partir de notebooks.
Créer des modèles de ML à l'aide de la syntaxe SQL dans BigQuery.
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in French
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
This course is part of the Data Engineer, Big Data and ML on Google Cloud en Français Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 9 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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