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Innovating with Google Cloud Artificial Intelligence Course

4.435 ratings at Udacity

Overview

Build smarter apps by integrating cloud-native AI APIs for translation, computer vision, and conversational intelligence. This free course gives you the tools you need to innovate with Google Cloud.

Syllabus 4

  1. Course Introduction

    In this introduction, you'll explore the course goals and preview each section.

  2. AI and ML Fundamentals

    In this section of the course, you'll explore many of those fundamental concepts.

  3. Google Cloud's AI and ML Solutions

    In this section of the course, you'll explore four options to build ML models with Google Cloud: BigQuery ML, pre-trained APIs, AutoML, and custom training.

  4. Course Summary

    The course closes with a summary of the key points covered in each section and next steps to continue learning.

Skills you'll practise

Cloud computing fluencyHybrid cloud

Advantages and disadvantages

Advantages

  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Short (1 hour): an overview, not deep coverage.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Sign up on Udacity to start.
  • Certificate: Free courses give no certificate.

Taught by

  • Google Cloud Training

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