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Google – Intermediate

Program Overview

TensorFlow is library for is an open source software library for high performance numerical computation that’s great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on GCP.

Prerequisites

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

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

Curriculum

In this lab you will learn how to use Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.

In this lab you will learn how to install and run TensorFlow on a single machine, then train a simple classifier to classify images of flowers.

In this lab, you learn the basic ‘Hello World’ of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.

In this lab you will build an end to end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.

In this lab you will build an end to end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.

Upskilling:

❏ Resume/CV building
❏ LinkedIN guidelines
❏ Social media guidelines
❏ Github profile
❏ Stackoverflow profile
❏ Google search
❏ Interview guidelines
❏ Interview simulation

❏ User centric thinking
❏ Design thinking principles
❏ Ideation
❏ User research
❏ Iterations
❏ Paper prototyping
❏ Tool prototyping
❏ Iterating

Final Project

The trainees should build a predefined computer vision model to classify a number of images with a precision higher or equal to 93%.

Frequently Asked Questions

Question 1

Answer 1

Question 2

Answer 2

Question 3

Answer 3

Intended Learning Outcome

Trainees are expected to develop a full understanding of ML API in Computer vision and proof that by implementing a final project in Computer Vision.

START ON    Soon

DURATION    2 Months

LEVEL         Intermediate

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