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.
Google Cloud Platform Big Data and Machine Learning Fundamentals
Offert par
Google Cloud
À propos de ce cours
348,323 consultations récentes
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
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. 14 heures pour terminer
Recommandé : 2 weeks of study, 6-10 hours/week
Anglais
Sous-titres : Anglais
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 Storage5 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 with 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
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
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 Review4 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
4.6
Meilleurs avis pour GOOGLE CLOUD PLATFORM BIG DATA AND MACHINE LEARNING FUNDAMENTALS
par VSMar 2, 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 MMNov 13, 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 ADSep 23, 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 ARMay 26, 2019
This course gives you a pretty good fundamental idea on what you are diving into. Google cloud platform has bucket of data engineering features. This course sets you on the starting line for them.
par BVDec 23, 2019
It was very good training with some of the real-time use cases enjoyed a lot. As a new person to google cloud and big data, I think this the best basic fundamental which I have come across so far.
par CRDec 26, 2017
This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.
par DKApr 7, 2019
This course provides the basics of Google Cloud Platform and makes us understand Google Products and services on Cloud. I would love to explore GCP more and will opt for the remaining GCP courses.
par PCJun 23, 2017
Course is very engaging and attentive. As we have hands-on lab, we get some practical experience with guidance. I have learnt a lot from this course. Cant wait to attend Data Engineering Course.
par JIMar 26, 2018
Very good and well thought out.\n\nI just laughed out loud when the translation for "wow this is cool" to Spanish was "wow esto es fresco" (wow, this is a fresco/fresh) Classic google translate.
par GOOct 5, 2018
This is an awesome course to understand GCP and fundamentals of Big Data. Very well designed and delivered by Google and Coursera. I love the teacher and his techniques as well. A BIG Thank you.
par BBJun 3, 2019
It was great learning about Google Cloud and hands on with the various services on the platform. There are immense possibilities of Cloud technologies in the future and happy to be a part of it
par DCMay 20, 2019
This is a very well written Introductory course on GCP products. The review tests are very good. It makes the understanding of a concept more clearly. Thank you Google for making this content.
par MPJun 6, 2017
I highly recommend this course for an overview of what tools and services are provided by Google Cloud Platform that can be used for your web app hosting needs, big data, and machine learning.
par WAMay 24, 2019
This course covers various basics regarding big data pipeline, analysis and machine learning on GCP.\n\nGreat course, especially for beginners who just jump into big data and ML stack on GCP!
par SSAug 25, 2018
A nice overview of some of GCP's offerings. Struggled to strike a balance between diving into details though, e.g. the labs were more detailed than an exec looking for an overview might need
par JCJun 5, 2019
Nice hands-on and broad overview of GCP Big Data and ML. I was able to not only be exposed to GCP tooling but also get a general idea on how to process and analyze big data in the cloud.
par MSDec 22, 2018
Great course for a people who want to know the overview about Google Cloud's product that specified on the Data Engineering fields. Very straight forward instructions and clear concepts.
par AVDec 15, 2017
Very good, structured, not too much, not too less introduction on GCP's ressources in terms of big data and machine learning. Labs are a perfect way of really feeling how does it work.
par VTAug 9, 2018
It was really a great course, I learned a lot and special thanks to instructor for helping in every possible aspects especially in labs part. Overall it was really a great experience.
par JEFeb 4, 2019
This is a great introduction to Google Cloud Platform and some of the great options for handling big data in a cost effective, easy to understand platform for today's data scientists.
À propos de 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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à ce Certificat ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours du Certificat, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Are there prerequisites for this course?
Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:
• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python
Am I eligible for the Google Cloud Platform free trial?
To be eligible for the free trial, you will need:
- Google account (Google is currently blocked in China)
- Credit card or bank account
- Terms of service
Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602
More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/
What if I have already used up my Google Cloud Platform free trial?
If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.
How does the free trial work?
View this page for more details: https://cloud.google.com/free-trial/docs/
Is this course similar to CPB100?
Yes, this online course is based on the instructor-led training formerly known as CPB100.
Does this course relate to the Google Certified Professional Data Engineer certification?
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/
What is a Google certification?
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/
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
