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Anand Deshpande - Hands-On Artificial Intelligence on Google Cloud Platform: Build intelligent applications powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow

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Hands-On Artificial Intelligence on Google Cloud Platform: Build intelligent applications powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow: summary, description and annotation

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Develop robust AI applications with TensorFlow, Cloud AutoML, TPUs, and other GCP services

Key Features
  • Focus on AI model development and deployment in GCP without worrying about infrastructure
  • Manage feature processing, data storage, and trained models using Google Cloud Dataflow
  • Access key frameworks such as TensorFlow and Cloud AutoML to run your deep learning models
Book Description

With a wide range of exciting tools and libraries such as Google BigQuery, Google Cloud Dataflow, and Google Cloud Dataproc, Google Cloud Platform (GCP) enables efficient big data processing and the development of smart AI models on the cloud. This GCP book will guide you in using these tools to build your AI-powered applications with ease and managing thousands of AI implementations on the cloud to help save you time.

Starting with a brief overview of Cloud AI and GCP features, youll learn how to deal with large volumes of data using auto-scaling features. Youll then implement Cloud AutoML to demonstrate the use of streaming components for performing data analytics and understand how Dialogflow can be used to create a conversational interface. As you advance, youll be able to scale out and speed up AI and predictive applications using TensorFlow. Youll also leverage GCP to train and optimize deep learning models, run machine learning algorithms, and perform complex GPU computations using TPUs. Finally, youll build and deploy AI applications to production with the help of an end-to-end use case.

By the end of this book, youll have learned how to design and run experiments and be able to discover innovative solutions without worrying about infrastructure, resources, and computing power.

What you will learn
  • Understand the basics of cloud computing and explore GCP components
  • Work with the data ingestion and preprocessing techniques in GCP for machine learning
  • Implement machine learning algorithms with Google Cloud AutoML
  • Optimize TensorFlow machine learning with Google Cloud TPUs
  • Get to grips with operationalizing AI on GCP
  • Build an end-to-end machine learning pipeline using Cloud Storage, Cloud Dataflow, and Cloud Datalab
  • Build models from petabytes of structured and semi-structured data using BigQuery ML
Who this book is for

If youre an artificial intelligence developer, data scientist, machine learning engineer, or deep learning engineer looking to build and deploy smart applications on Google Cloud Platform, youll find this book useful. A fundamental understanding of basic data processing and machine learning concepts is necessary. Though not mandatory, familiarity with Google Cloud Platform will help you make the most of this book.

Table of Contents
  1. Overview of Artificial Intelligence and Google Cloud Platform
  2. Computing and Processing Using GCP Components
  3. Building Machine Learning Applications with XGBoost
  4. Using Cloud AutoML
  5. Building a Big Data Cloud Machine Learning Engine
  6. Building Smart Conversational Applications Using DialogFlow
  7. Understanding Cloud Tensor Processing Units
  8. Implement TensorFlow models using Cloud Machine Learning Engine
  9. Building Prediction Applications using Tensorflow Models
  10. Building an Artificial Intelligence application

Anand Deshpande: author's other books


Who wrote Hands-On Artificial Intelligence on Google Cloud Platform: Build intelligent applications powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow? Find out the surname, the name of the author of the book and a list of all author's works by series.

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Hands-On Artificial Intelligence on Google Cloud Platform
Build intelligent applications powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow
Anand Deshpande
Manish Kumar
Vikram Chaudhari

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Hands-On Artificial Intelligence on Google Cloud Platform

Copyright 2020 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.


Acquisition Editor: Devika Battike
Content Development Editor: Nazia Shaikh
Senior Editor: Ayaan Hoda
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First published: March 2020

Production reference: 1050320

Published by Packt Publishing Ltd.
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ISBN 978-1-78953-846-5

www.packt.com

About the authors

Anand Deshpande has over 19 years' experience with IT services and product development. He is currently working as Vice President of Advanced Analytics and Product Development at VSquare Systems Pvt. Ltd. (VSquare). He has developed a special interest in data science and an algorithmic approach to data management and analytics and co-authored a book entitled Artificial Intelligence for Big Data in May 2018.

This book and anything worthwhile in my life is possible only with the blessings of my spiritual guru, my parents, in-laws and the unconditional love and support from my wife Mugdha and my daughters Devyani and Sharvari. Special thanks to my friends and co-authors of this book, Manish Kumar and Vikram Chaudhari. And lastly, I would like to thank Mr. Sunil Kakade and Mr. Ajay Deshmukh for mentoring and their support.

Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).

I would like to thank my parents, Dr. N.K. Singh and Dr. Rambha Singh, for their blessings. The time spent on this book has taken some precious time from my wife, Mrs. Swati Singh, and my adorable son, Lakshya Singh and I would like to thank them for their support throughout this time. And lastly, I would like to thank my friends and co-authors, Anand Deshpande and Vikram Chaudhari.

Vikram Chaudhari works as Director of Data and Advanced Analytics at VSquare. He has over 10 years' IT experience. He is a certified AWS and Google Cloud Architect and has completed multiple implementations of data pipelines with Amazon Web Services and Google Cloud Platform. With implementation experience on multiple data pipelines across platforms, Vikram is instrumental in creating reusable components and accelerators that reduce costs and implementation time.

I would like to thank my mother, Mrs. Jyoti Chaudhari for her encouragement and blessings, my wife Amruta Chaudhari for her continuous support and love, my precious little gem Aahana, as she had to compromise on some of her weekend plans when I was busy writing the book. Finally, I would like to thank my mentor, Anand Deshpande, who always guided me and helped me to get to the next level in my career and, Mr. Manish Kumar, who is the co-author and one of the best Architects I have worked with. Lastly, I would want to thank the wonderful Packt team for their wonderful support throughout the project.
About the reviewers

Arvind Ravulavaru is a full stack architect and consultant with over 11 years' experience in software development and 2 years' experience in hardware and product development. For the last 5 years, he has been working extensively on JavaScript, both on the server side and the client side and, for the last few years, in IoT, AI, ML, and big data.

Alexey Bokov is an experienced Azure architect and has been a Microsoft technical evangelist since 2011. He works closely with Microsoft's top-tier customers all around the world to develop applications based on the Azure cloud platform. Building cloud-based applications in challenging scenarios is his passion, along with helping the development community to upskill and learn new things through hands-on exercises and hacking. He's a long-time contributor to, and co-author and reviewer of, many Azure books, and, from time to time, speaks at Kubernetes events.

Judy T Raj is a Google Certified Professional Cloud Architect with extensive experience across the three leading cloud platformsAWS, Azure, and the GCP. She has co-authored a book on Google Cloud Platform with Packt Publishing. She has also worked with a wide range of technologies, such as data science, deep learning, computer vision, blockchain, big data, and IoT and has published many relevant academic papers. Currently employed as a Data and AI Engineer, she is a passionate coder, a machine learning practitioner, and a computer vision enthusiast.

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