Serverless Machine Learning with Tensorflow on Google Cloud Platform

( 138 Reviews )

Created by: Google Cloud Training

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 80 / 100

Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a artificial intelligence course? Or looking for more detail on Google Cloud Training's Serverless Machine Learning with Tensorflow on Google Cloud Platform? Feel free to chat below.

Join CourseDuck's Online Learning Discord Community

Course Description

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.OBJECTIVESThis 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 modelsPREREQUISITESTo 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 statisticsGoogle Account Notes:- Google services are currently unavailable in China.COMPLETION CHALLENGEComplete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.

Time: 12h

Instructor Details

Google Cloud Training

4.0 Rating
138 Reviews

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps 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.

Reviews

4.0

138 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Anna K on 19-Jan-19

It was rather confusing than helpful. A great overhead of doing the same configuration stuff for the first 4 labs: They could be combined to one greater Lab. The last 7th Lab was too complicated, I lost connection to the notebook all the time and had not enough time for understanding where and how I should run the predefined commands. I rather submitted the commands without thinking how, where and why, because I did not have time to think: The lab is too big for the short period of time. I would appreciate to have more time for understanding the commands (for example for ml engine and dataflow).

By Joose R on 26-Apr-19

I was a bit disappointed at this course. It is after all data engineering track course but it seems like it's data science for those with ample data engineering skills. The course focuses more on basic ML concepts and less on the Google Cloud Platform specific boilerplate code. The things that are specific to Google Cloud are just viewed cursorily and I didn't really get much insight to them. Other issues with the course are that it's basically one big deprecation warning. Apache Beam cannot be run on Python 3 but Python 2 is about to deprecate. Furthermore, ML Engine is renamed to AI Platform but the course material hasn't applied that change yet. Instead it speaks about ML Engine. Additionally, distributed training isn't covered very well but it's marketed that Google Cloud does distributed training on its own. So basically after this course I learned that the services used in this course are probably not used by Google because everything is deprecated and about to become obsolete and the services are quite cumbersome to use.

By Joel G on 26-May-19

I wasted to much time every lab setting up the environment with not enough time to go through and actually understand complicated code.

By Micha J on 28-Aug-18

To be honest this whole specialization is a scam. There is promise of preparing to Data Engineer Cert, but the course just skims most of the topics, missing a lot others entirely. Please, at least have decency not to advertise it like this and remove it from official google certification page.

By YANGYIRU on 2-May-19

lab 7 is rubish

By Alexandre V G on 14-Sep-18

Lax is horrible. He's going around and around and around and around and around... and repeats and repeats and repeats.. mostly useless stuff. The course is Boooring... Not much about the GCP. Mostly 'intro to machine learning'

By Atanu G on 26-Nov-18

Quite knowledgeable. It touches all the aspects of Model building along with the Google Cloud implementation . Learned a lot out of it. Thanks a lot to Lak and team for the course

By Scott M on 14-Dec-18

Detailed and incredibly useful for DE's

By Daniele S on 27-Nov-18

Lot of information are contained in this short course. It's a perfect approach to ML even if it's a bit confusing if you don't have previous experience. Great course learned lot of things.

By Peter S on 16-Dec-18