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Serverless Data Analysis with Google BigQuery and Cloud Dataflow Coursera

@machinelearnbot

While the course content was very informative, there was not enough about the Google Cloud Data Engineering certification exam - specifically, what material would or would not be on it. In fact the certification was not even mentioned. Some mention would be helpful, given that's the primary reason most folks are taking this course. I was also a bit nonplussed by the way all of the code is just handed to you, so that the labs end up being "run this," "run that," "use this script to run this other thing." While I appreciate these services are complex and teaching students to write them from scratch would be time-consuming, there really must be a better way to do this than simply handing over huge chunks of code and saying, "Run this one command to make it all magically happen."


Essential Cloud Infrastructure: Foundation Coursera

@machinelearnbot

About this course: This 1-week, accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloudshell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules. Prerequisites: To get the most out of this course, participants should have: • Completed Google Cloud Platform Fundamentals (Core Infrastructure or AWS Professionals.) or have equivalent experience • Basic proficiency with command-line tools and Linux operating system environments • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment


Serverless Data Analysis with Google BigQuery and Cloud Dataflow Coursera

@machinelearnbot

About this course: 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 Notes: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google is currently blocked in China).


Essential Cloud Infrastructure: Foundation Coursera

@machinelearnbot

About this course: This 1-week, accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules. Prerequisites To get the most out of this course, participants should have: • Completed Google Cloud Platform Fundamentals (Core Infrastructure or AWS Professionals.) or have equivalent experience • Basic proficiency with command-line tools and Linux operating system environments • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment


Serverless Data Analysis with Google BigQuery and Cloud Dataflow Coursera

@machinelearnbot

About this course: 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: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google services are currently unavailable in China).