Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
Offered By
Google CloudAbout this Course
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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 8 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
What you will learn
Understand use-cases for real-time streaming analytics.
Use Pub/Sub asynchronous messaging service to manage data events. Write streaming pipelines and run transformations where necessary.
Understand both sides of a streaming pipeline: production and consumption.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 8 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Offered by
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.
Syllabus - What you will learn from this course
1 minute to complete
Introduction
In this module, we introduce the course and agenda
1 minute to complete
1 video (Total 1 min)
12 minutes to complete
Introduction to Analytics and AI
This modules talks about ML options on Google Cloud
12 minutes to complete
4 videos (Total 8 min)
1 hour to complete
Prebuilt ML model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
1 hour to complete
5 videos (Total 13 min)
1 hour to complete
Big Data Analytics with Notebooks
This module covers how to use Notebooks
1 hour to complete
4 videos (Total 7 min)
2 hours to complete
Production ML Pipelines with Kubeflow
This module covers building custom ML models and introduces Kubeflow and AI Hub
2 hours to complete
6 videos (Total 10 min)
2 hours to complete
Custom Model building with SQL in BigQuery ML
This module covers BigQuery ML
2 hours to complete
6 videos (Total 12 min)
28 minutes to complete
Custom Model Building with AutoML
Custom model building with AutoML
28 minutes to complete
6 videos (Total 24 min)
1 minute to complete
Summary
This module recaps the topics covered in the course
1 minute to complete
1 video (Total 1 min)
Reviews
- 5 stars68.82%
- 4 stars24.05%
- 3 stars4.50%
- 2 stars1.53%
- 1 star1.08%
TOP REVIEWS FROM SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP
by ACMar 30, 2021
Great hands one excercises to confirm few coding lines to do real world predictions
by VRFeb 28, 2021
Amazing to be part of this great learning Journey!! I am learning concepts and strong fundamentals to build a good foundation.
by FMDec 2, 2020
Great course to have a complete overview of the GCP platform and components.
by JAFeb 2, 2022
Great insight about using machine learning on Google cloud platform. I am impressed
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