This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
Offert par
Google CloudÀ propos de ce cours
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Résultats de carrière des étudiants
41%
ont commencé une nouvelle carrière après avoir terminé ce cours
40%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
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Dates limites flexibles
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Niveau intermédiaire
Approx. 12 heures pour terminer
Anglais
Sous-titres : Français, Portugais (brésilien), Russe, Anglais, Espagnol
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
41%
ont commencé une nouvelle carrière après avoir terminé ce cours
40%
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 : Français, Portugais (brésilien), Russe, Anglais, Espagnol
Offert par
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programme du cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
Introduction to the Data and Machine Learning on Google Cloud Platform Specialization .
Welcome to the Big Data and Machine Learning fundamentals on GCP course. Here you will learn the basics of how the course is structured and the four main big data challenges you will solve for.
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
In this module you will have an existing Apache SparkML recommendation model that is running on-premise. You will learn about recommendation models and how you can run them in the cloud with Cloud Dataproc and Cloud SQL.
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
In this module, you will learn the foundations of BigQuery and big data analysis at scale. You will then learn how to build your own custom machine learning model to predict visitor purchases using just SQL with 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
BigQuery ML: 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
2 heures pour terminer
Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow
In this module you will engineer and build an auto-scaling streaming data pipeline to ingest, process, and visualize data on a dashboard. Before you build your pipeline you'll learn the foundations of message-oriented architecture and pitfalls to avoid when designing and implementing modern data pipelines.
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 Review30 min
2 heures pour terminer
Classify Images with Pre-Built Models using Vision API and Cloud AutoML
Don't want to create a custom ML model from scratch? Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.
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
In this final module, we will review the key challenges, solutions, and topics covered as part of this fundamentals course. We will also review additional resources and the steps you can take to get certified as a Google Cloud Data Engineer.
5 minutes pour terminer
1 vidéo (Total 5 min)
1 vidéo
Course Summary4 min
Avis
Meilleurs avis pour GOOGLE CLOUD PLATFORM BIG DATA AND MACHINE LEARNING FUNDAMENTALS
par VS2 mars 2019
Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.
par AD23 sept. 2019
This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.
par MM13 nov. 2019
In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.
par RT6 mai 2020
It is a fun journey to explore the Big Data and ML resource in GCP. And even cooler is you don't need work for a big company or own lots of resource to get your hands dirty to support your learning!
Foire Aux Questions
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