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Google Cloud AI Services Deep Dive

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Chris Behrens

2:26:57

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  • 1. Course Introduction.mp4
    02:56
  • 2. About the Training Architect.mp4
    01:08
  • 3. What is AI-ML.mp4
    12:57
  • 4. Understanding Google Cloud AI and Machine Learning.mp4
    10:10
  • 5. Targeting Cloud AutoML.mp4
    11:42
  • 6. Identifying Images with Vision AI.mp4
    16:32
  • 7. Examining Video AI.mp4
    09:47
  • 8. Extracting Data with Natural Language.mp4
    12:48
  • 9. Automating Translation.mp4
    08:06
  • 10. Recognizing Speech-to-Text.mp4
    09:11
  • 11. Empowering Text-to-Speech.mp4
    11:11
  • 12. Conversing with Dialogflow.mp4
    14:08
  • 13. Structuring AutoML Tables.mp4
    10:15
  • 14. Establishing Recommendations.mp4
    04:56
  • 15. Executing BigQuery ML.mp4
    08:00
  • 16. Summary.mp4
    02:16
  • 17. Whats Next.mp4
    00:54
  • Description


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

    What You'll Learn?


      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.

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    Chris Behrens
    Chris Behrens
    Instructor's Courses
    A Cloud Guru is an online training platform for people interested in Information Technology. Most of the courses offered prepare students to take certification exams for the three major cloud providers.
    • language english
    • Training sessions 17
    • duration 2:26:57
    • Release Date 2024/04/26