Applied Artificial Intelligence and Machine Learning on Google Cloud Platform


Course Number: GCP-138

Duration: 1 day (6.5 hours)

Format: Live, hands-on

AI and ML on GCP Overview

This live, online Applied Artificial Intelligence (AI) and Machine Learning (ML) on Google Cloud Platform (GCP) training course teaches attendees how to use GCP to visually explore, clean, and prepare their data for analysis. Participants learn the various building blocks that GCP offers for the creative implementation of ML and AI. The class also explores Natural Language Processing (NLP), Speech-to-Text, Text-to-Speech, and Language Translation using GCP.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

In addition, some Cloud courses are available as live, online classes for individuals.

Objectives

All students will learn the basics of TensorFlow, the similarities and differences between ML and AI, and how to use GCP:

  • To visually explore, clean, and prepare data
  • For vision tasks (e.g., analyze photos and video)
  • For Natural Language Processing and sentiment analysis
  • For Text-to-Speech and Speech-to-Text conversion
  • To develop custom models using your own data
  • To perform automated ML where you can apply ML and AI using pre-trained models on common use cases with little or no coding

Prerequisites

All students must have basic Python Programming experience.

Outline

Expand All | Collapse All

Course Introduction
Overview of Machine Learning and Artificial Intelligence
Accessing the GCP
  • Introduction to TensorFlow
  • Explore, analyze and clean data using GCP
Datalab and Dataprep for Data Analysis and Preparation
  • Vision Intelligence
  • Image Analysis
  • Video Analysis
  • Text Intelligence
  • Natural Language Processing
  • Speech-to-Text, Text-to-Speech
  • Language Translation
  • Creating custom vs. pre-trained models
Photo Analysis and Text Sentiment Analysis
Structured Activity/Exercises/Case Studies
  • How to access GCP
  • Explore Datalab and Dataprep for data preparation
  • Use GCP to do photo analysis and text sentiment analysis
Conclusion

Training Materials:

All AI and ML on GCP training students receive comprehensive courseware.

Software Requirements:

Students must have the Google Chrome web browser and Internet access.



Learn faster

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Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

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Multiple Payment Options

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