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Résultats de carrière des étudiants

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Certificat partageable
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100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
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Niveau intermédiaire
Approx. 12 heures pour terminer
Anglais
Sous-titres : Anglais

Ce que vous allez apprendre

  • Processing big data at scale for analytics and machine learning

  • Fundamentals of building new machine learning models

  • Creating streaming data pipelines and dashboards

Compétences que vous acquerrez

TensorflowBigqueryGoogle Cloud PlatformCloud Computing

Résultats de carrière des étudiants

45%

ont commencé une nouvelle carrière après avoir terminé ce cours

43%

ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 12 heures pour terminer
Anglais
Sous-titres : Anglais

Enseignant

Offert par

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Google Cloud

Programme du cours : ce que vous apprendrez dans ce cours

Évaluation du contenuThumbs Up95%(19,501 notes)Info
Semaine
1

Semaine 1

3 heures pour terminer

Introduction to the Data and Machine Learning on Google Cloud Platform Specialization .

3 heures pour terminer
13 vidéos (Total 78 min), 2 lectures, 2 quiz
13 vidéos
Introduction to Google Cloud Platform3 min
Compute Power for Analytic and ML Workloads9 min
Demo: Creating a VM on Compute Engine13 min
Elastic Storage with Google Cloud Storage6 min
Build on Google's Global Network3 min
Security: On-premise vs Cloud-native2 min
Evolution of Google Cloud Big Data Tools5 min
Getting Started with Google Cloud Platform and Qwiklabs3 min
Choosing the right approach5 min
What you can do with Google Cloud Platform3 min
Activity: Explore real customer solution architectures7 min
Key roles in a data-driven organization6 min
2 lectures
Google Cloud Public Datasets program10 min
Module Resources10 min
1 exercice pour s'entraîner
Module Review5 min
2 heures pour terminer

Recommending Products using Cloud SQL and Spark

2 heures pour terminer
8 vidéos (Total 50 min), 1 lecture, 2 quiz
8 vidéos
Introduction to machine learning5 min
Challenge: ML for recommending housing rentals8 min
Approach: Move from on-premise to Google Cloud Platform9 min
Demo: From zero to an Apache Spark job in 10 minutes or less6 min
Challenge: Utilizing and tuning on-premise clusters6 min
Move storage off-cluster with Google Cloud Storage4 min
Lab Intro2 min
1 lecture
Module Resources5 min
1 exercice pour s'entraîner
Module Review15 min
3 heures pour terminer

Predict Visitor Purchases Using BigQuery ML

3 heures pour terminer
13 vidéos (Total 74 min), 2 lectures, 2 quiz
13 vidéos
Demo: Query 2 billion lines of Github code in less than 30 seconds11 min
BigQuery: Fast SQL Engine4 min
Demo: Exploring bike share data with SQL11 min
Data quality4 min
BigQuery managed storage5 min
Insights from geographic data2 min
Demo: Analyzing lightning strikes with BigQuery GIS7 min
Choosing a ML model type for structured data4 min
Predicting customer lifetime value5 min
BigQueryML: Create models with SQL3 min
Phases in ML model lifecycle2 min
BigQuery ML: key features walkthrough5 min
2 lectures
Lab Intro10 min
Module Resources10 min
1 exercice pour s'entraîner
Module Review4 min
Semaine
2

Semaine 2

2 heures pour terminer

Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow

2 heures pour terminer
8 vidéos (Total 31 min), 1 lecture, 2 quiz
8 vidéos
Message-oriented architectures with Cloud Pub/Sub6 min
Designing streaming pipelines with Apache Beam3 min
Implementing streaming pipelines on Cloud Dataflow3 min
Visualizing insights with Data Studio3 min
Creating charts with Data Studio2 min
Demo: Data Studio walkthrough7 min
Lab Intro1 min
1 lecture
Module Resources10 min
1 exercice pour s'entraîner
Module Review4 min
2 heures pour terminer

Classify Images with Pre-Built Models using Vision API and Cloud AutoML

2 heures pour terminer
10 vidéos (Total 55 min), 2 lectures, 2 quiz
10 vidéos
How does ML on unstructured data work?3 min
Demo: ML built into Google Photos1 min
Comparing approaches to ML2 min
Demo: Using ML building blocks7 min
Using pre-built AI to create a chatbot4 min
Customizing Pre-built models with AutoML7 min
Lab Intro22s
Building a Custom Model1 min
Demo: Text classification done three ways21 min
2 lectures
Additional resources to build custom models10 min
Module Resources10 min
1 exercice pour s'entraîner
Module Review
5 minutes pour terminer

Summary

5 minutes pour terminer
1 vidéo (Total 5 min)
1 vidéo

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    • Data modeling

    • Machine learning and/or statistics

    • Programming in Python

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  • Yes, this online course is based on the instructor-led training formerly known as CPB100.

  • The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/

  • Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/

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