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
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
8 hours to complete
3 weeks at 2 hours a week
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.
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 9 modules in this course
Dans ce module, nous vous présentons le cours et son déroulement.
What's included
1 video
Ce module présente les options de ML sur Google Cloud.
What's included
4 videos1 assignment
Ce module s'intéresse principalement à l'utilisation d'API de ML prédéfinies pour vos données non structurées.
What's included
5 videos1 assignment1 app item
Ce module explique comment utiliser Notebooks.
What's included
4 videos1 assignment1 app item
Ce module explique comment créer des modèles de ML personnalisés, et présente Vertex AI ainsi que TensorFlow Hub.
What's included
6 videos1 assignment1 app item
Ce module aborde BigQuery ML.
What's included
6 videos1 assignment2 app items
Créer un modèle personnalisé avec AutoML.
What's included
6 videos1 assignment
Ce module récapitule les sujets abordés dans le cours.
What's included
1 video
Liens PDF vers tous les modules
What's included
1 reading
Instructor
Offered by
Recommended if you're interested in Cloud Computing
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.