Google Cloud AI Services Deep Dive

By Joseph Lowery

Explore artificial intelligence, machine learning, and deep learning on Google Cloud Platform with this course.

9 hours
  • 19 Lessons
  • 1 Hands-On Lab

About the course

Welcome to the Google Cloud AI Services Deep Dive course. I’m Joe Lowery, and I’ll be your guide through this amazing collection of technology that will, without a doubt, leave you wide-eyed in wonder at the possibilities of what you can accomplish at this very moment.

Artificial intelligence in general and machine learning in particular have increased the reach and capabilities of technology exponentially, completely altering our world at an amazing pace. In this course, we’ll explore a large number of the Google Cloud services — 15 in all — that are available for you to incorporate into your own applications and organizations.

First off, we’ll provide some context for the overall course and describe the differences between artificial intelligence, machine learning, and deep learning.

Then, we’ll look at one of the key components of the Google Cloud AI services we’ll be examining, AutoML, as we detail its unique features.

Then, we’ll dive into specific target categories with a look at the AI Sight services, including those that can detect objects or text in still images or even video.

From imagery, we move to AI services for written language with tools that can extract the structure and meaning of text — including sentiment — and ones that can translate from one language to another, in over 100 different varieties.

The AI Conversation services provide the power to move from one form of communication — speech — to another — text — and back again. In addition, you’ll see how Google has brought many of their tools together to create a service that can build conversational interfaces to interact with your users through almost any medium.

In our final section, we’ll explore AI services dedicated to another, omnipresent method of communication: data. Within the AI Structured Data group, you’ll find a tool for analyzing and making predictions with tabular data, one for recommending products based on user events, and another that can create machine learning models with standard SQL queries.

Obviously, there’s a tremendous amount of power and complexity involved in Google Cloud’s AI services. Understanding their potential will increase your own for developing the applications, systems, and organizations of the future.

  • Chapter 1 3 Lessons Introduction 5:23

    An Important Note About A Cloud Guru and Linux Academy Courses


    Course Introduction


    About the Training Architect

  • Chapter 2 3 Lessons Overview 34:51

    What Is AI/ML?


    Understanding Google Cloud AI and Machine Learning


    Targeting Cloud AutoML

  • Chapter 3 2 Lessons AI Sight 26:20

    Identifying Images with Vision AI


    Examining Video AI

  • Chapter 4 2 Lessons AI Language 20:54

    Extracting Data with Natural Language


    Automating Translation

  • Chapter 5 4 Lessons AI Conversation 1:19:31

    Recognizing Speech-to-Text


    Empowering Text-to-Speech


    Conversing with Dialogflow


    Setting Up Google Cloud Text-to-Speech

    45:00 Hands-On Lab
  • Chapter 6 3 Lessons AI Structured Data 23:11

    Structuring AutoML Tables


    Establishing Recommendations


    Executing BigQuery ML

  • Chapter 7 2 Lessons Next Steps 3:10



    What's Next?


What you will need

  • Google Cloud Essentials

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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Psst…this one if you’ve been moved to ACG!