Machine Learning with TensorFlow on Google Cloud

  • Contact Us For Pricing
  • Reviews star_rate star_rate star_rate star_rate star_half 1131 Ratings
  • Course Code GCP-ML
  • Duration 5 days
  • Available Formats Classroom, Virtual

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)

When does class start/end?

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

Does the course schedule include a Lunchbreak?

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.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

One of the best organized and thoughtful learning sessions I've attended, thank you!

It was a pleasant experience from registration all through the course. I just wish they would have covered 100% of the material covered by the exam.

I would highly recommend this instructor. But would appreciate the Actual Slide material to refresh. Also exam prep doc would be an advantage

J’aime cet environnement, je vois qu’on peut faire beaux de chose la dessus. J’aime ce genre de projet ou environnement bien fait.

The course on Redshift was excellent! As a DBA/DA I found there is a quite a bit of learning for Oracle professionals to move into AWS.

1 options available

undo
  • Feb 22, 2021 Feb 26, 2021 (5 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM CST
    Enroll
    Enroll
Contact Us 1-800-803-3948
Contact Us Live Chat
FAQ Get immediate answers to our most frequently asked qestions. View FAQs arrow_forward