Über dieses Spezialisierung
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Kurse, die komplett online stattfinden

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexibler Zeitplan

Festlegen und Einhalten flexibler Termine.

Stufe „Mittel“

Ca. 1 Monat zum Abschließen

Empfohlen werden 16 Stunden/Woche

Englisch

Untertitel: Englisch

Kompetenzen, die Sie erwerben

TensorflowBigqueryBigtableDataflow

Kurse, die komplett online stattfinden

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexibler Zeitplan

Festlegen und Einhalten flexibler Termine.

Stufe „Mittel“

Ca. 1 Monat zum Abschließen

Empfohlen werden 16 Stunden/Woche

Englisch

Untertitel: Englisch

So funktioniert das Spezialisierung

Kurse absolvieren

Eine Coursera-Spezialisierung ist eine Reihe von Kursen, in denen Sie eine Kompetenz erwerben. Um zu beginnen, melden Sie sich direkt für die Spezialisierung an oder überprüfen Sie deren Kurse und wählen Sie denjenigen Kurs aus, mit dem Sie beginnen möchten. Wenn Sie einen Kurs abonnieren, der Bestandteil einer Spezialisierung ist, abonnieren Sie automatisch die gesamte Spezialisierung Es ist in Ordnung, wenn Sie nur einen Kurs absolvieren möchten — Sie können Ihren Lernprozess jederzeit unterbrechen oder Ihr Abonnement kündigen. Gehen Sie zu Ihrem Kursteilnehmer-Dashboard, um Ihre Kursanmeldungen und Ihren Fortschritt zu verfolgen.

Praxisprojekt

Jede Spezialisierung umfasst ein Praxisprojekt. Sie müssen das Projekt/die Projekte erfolgreich abschließen, um die Spezialisierung abzuschließen und Ihr Zertifikat zu erwerben. Wenn die Spezialisierung einen separaten Kurs für das Praxisprojekt umfasst, müssen Sie zunächst alle anderen Kurse abschließen, bevor Sie damit beginnen können.

Zertifikat erwerben

Wenn Sie alle Kurse und das Praxisprojekt abgeschlossen haben, erhalten Sie ein Zertifikat, dass Sie für potenzielle Arbeitgeber und Ihr berufliches Netzwerk freigeben können.

how it works

Es gibt 5 Kurse in dieser Spezialisierung

Kurs1

Google Cloud Platform Big Data and Machine Learning Fundamentals

4.6
5,762 Bewertungen
1,053 Bewertungen
This 1-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. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform 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 Google Account Notes: • Google services are currently unavailable in China....
Kurs2

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

4.5
2,881 Bewertungen
354 Bewertungen
This 1-week, accelerated course builds upon previous courses in the Data Engineering on Google Cloud Platform specialization. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform. You will also learn how to access various cloud storage options from their compute clusters and integrate Google’s machine learning capabilities into their analytics programs. In the hands-on labs, you will create and manage Dataproc Clusters using the Web Console and the CLI, and use cluster to run Spark and Pig jobs. You will then create iPython notebooks that integrate with BigQuery and storage and utilize Spark. Finally, you integrate the machine learning APIs into your data analysis. Pre-requisites • Google Cloud Platform Big Data & Machine Learning Fundamentals (or equivalent experience) • Some knowledge of Python...
Kurs3

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

4.5
2,218 Bewertungen
224 Bewertungen
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals • Experience using a SQL-like query language to analyze data • Knowledge of either Python or Java Google Account Notes: • Google services are currently unavailable in China....
Kurs4

Serverless Machine Learning with Tensorflow on Google Cloud Platform

4.4
1,750 Bewertungen
223 Bewertungen
This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics Google Account Notes: • Google services are currently unavailable in China....
Kurs5

Building Resilient Streaming Systems on Google Cloud Platform

4.7
1,330 Bewertungen
102 Bewertungen
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to build streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to render tailored output for various stakeholder audience. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals (or equivalent experience) • Some knowledge of Java Objectives: • Understand use-cases for real-time streaming analytics • Use Google Cloud PubSub asynchronous messaging service to manage data events • Write streaming pipelines and run transformations where necessary • Get familiar with both sides of a streaming pipeline: production and consumption • Interoperate Dataflow, BigQuery and Cloud Pub/Sub for real-time streaming and analysis...

Über 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....

Häufig gestellte Fragen

  • Ja! Um loszulegen, klicken Sie auf die Kurskarte, die Sie interessiert, und melden Sie sich an. Sie können sich anmelden und den Kurs absolvieren, um ein teilbares Zertifikat zu erwerben, oder Sie können als Gast teilnehmen, um die Kursmaterialien gratis einzusehen. Wenn Sie einen Kurs abonnieren, der Teil einer Spezialisierung ist, abonnieren Sie automatisch die gesamte Spezialisierung. Auf Ihrem Kursteilnehmer-Dashboard können Sie Ihren Fortschritt verfolgen.

  • Dieser Kurs findet ausschließlich online statt, Sie müssen also zu keiner Sitzung persönlich erscheinen. Sie können jederzeit und überall über das Netz oder Ihr Mobilgerät auf Ihre Vorträge, Lektüren und Aufgaben zugreifen.

  • Für diese Spezialisierung gibt es keine akademischen Leistungspunkte, doch Hochschulen können nach eigenem Ermessen Leistungspunkte für Spezialisierungszertifikate vergeben. Wenden Sie sich an Ihre Einrichtung, um mehr zu erfahren.

  • This accelerated specialization is designed to be completed in only four weeks. Additionally, our Google Cloud Platform free trial ends after 60 days or when your $300 in credits are used up.

  • 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

  • We strongly recommend you take these courses in order, beginning with Big Data and Machine Learning Fundamentals. This is especially important when completing the Google Codelabs projects, as these hands-on labs build upon the work you complete in preceding courses.

  • Upon completion of this Specialization, you'll have the opportunity to share your information directly with Google and Publicis [more partners coming soon] to be considered for open hiring opportunities. You'll also earn a Specialization Certificate to share with your professional network and potential employers.

    Google Cloud Platform is used in a wide variety of environments, all the way from startups to global enterprises. This specialization is designed to help prepare you to implement solutions using Google Cloud Platform in any of these types of environments.

  • 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\n\nMore 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/

  • 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.

  • View this page for more details: https://cloud.google.com/free-trial/docs/

  • No, the certificate received is a Coursera coursework completion certificate and not an official Google Cloud certification. To receive a Google Cloud certification you need to pass a Google Cloud certification exam which must be taken in-person at an official testing center. More information available here: https://cloud.google.com/certification/

  • Taking courses is a great way to familiarize yourself with the various components of Google Cloud Platform; however, actual real-world, hands-on experience is the best preparation for certification. Combine these courses and work experience and you are on your way to certification.

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