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Google – Advanced

Program Overview

Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning at scale and how to employ the advanced ML infrastructure available on GCP.


To be able to take this course you will need to know:

  • Intermediate python
  • Algebra, Calculus
  • Vectors and Integrals
  • Matrices multiplication


In this lab you will build a simple scikit-learn model, upload the model to AI Platform Prediction, and make predictions against the model.

Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.

Using Cloud DataProc running on a Hadoop cluster you will analyse a data set using Bayes Classification.

This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

Professional Training

Intensive specialized training in:

  • Natural Language Processing
  • Computer Vision
  • Predictive Analytics

and a final project after each course.


❏ User centric thinking
❏ Design thinking principles
❏ Ideation
❏ User research
❏ Paper prototyping
❏ Tool prototyping
❏ Iterative model

❏ Introduction to Agile scrum
❏ Introduction to DevOps
❏ Agile the Why and who?
❏ Agile ceremonies
❏ Agile roles
❏ Agile 3 sprints simulation

Frequently Asked Questions

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Intended Learning Outcome

Trainees are expected to develop a full understanding of ML API in NLP, Computer vision and Predictive Analytics and proof that by implementing 3 projects in the mentioned fields.

START ON    Soon

DURATION    3 Months

LEVEL         Advanced

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