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Machine Learning with TensorFlow on Google Cloud

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  • Reviews star_rate star_rate star_rate star_rate star_half 531 Ratings
  • Course Code GCP-ML
  • Duration 5 days
  • Available Formats Classroom

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in TensorFlow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud.

Skills Gained

This series of courses teaches participants the following skills:

  • Frame a business use case as a machine learning problem
  • Create machine learning datasets that are capable of achieving generalization
  • Implement machine learning models using TensorFlow
  • Understand the impact of gradient descent parameters on accuracy, training speed, sparsity, and generalization
  • Build and operationalize distributed TensorFlow models
  • Represent and transform features

Who Can Benefit

This class is intended for the following participants:

  • Data Engineers and programmers interested in learning how to apply machine learning in practice.
  • Anyone interested in learning how to build and operationalize TensorFlow models.

Prerequisites

To get the most out of this specialization, participants should have:

  • Experience coding in Python
  • Knowledge of basic statistics
  • Knowledge of SQL and cloud computing (helpful)

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

ExitCertified provided the participants with all the required information we needed to join the training one week in advance and ensured that we had all the required materials to make the experience as seamless as possible.

Tommy is clear and concise. Responded and knowledgeable. I wil recommend this to all

Joel Rosenblum is an excellent instructor. Would gladly take more courses he taught. Extremely knowledgeable with the content and real world experience with the tech. Gotcha issues provided by him to look for in tech were very useful. Very friendly and available during and after class time.

Tom Peters was very helpful initially and once voucher was confirmed valid. Tom P required Kyle Banas to approve my voucher that was earned for selling certain quantity of M365 licenses. Request confirmation voucher was valid less than 3 months from notification. Tom P CC'd Kyle B on email to confirm. Kyle to several weeks and MANY email requests without ever responding to request. Tom P eventually approved the voucher.

Content was excellent. Labs and lab environment was excellent.

Course was thoroughly prepared and covered all the necessary applications and services. It was evident that the instructor had in-depth knowledge on Big Data (Data Analytics) as well as other AWS services.

Just finished up a course taught by Sean Mohseni. Excellent instructor. If you can find a course he's teaching, its well worth it.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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