Applied Artificial Intelligence and Machine Learning on Google Cloud Platform(GCP) Training

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. This class will focus on using GCP to do Machine Learning and AI. You will first be provided with an overview of Machine Learning and AI. We will then explore the advantages of using a cloud service to do ML and AI. We will also discuss the opportunities to do automated ML using GCP, requiring little or no coding.

We will discuss using GCP to visually explore, clean and prepare your data for analysis. We will then look at the various building blocks that GCP offers to do creative ML and AI. We will demonstrate using GCP for vision tasks such as image and video analysis. We’ll also explore Natural Language Processing, Speech-to-Text, Text-to-Speech, and Language Translation using GCP.

Objectives

After this course, you will be able to:

Have a basic understanding of TensorFlow

Understand the similarities and differences between Machine Learning and AI

Understand how to use GCP to visually explore, clean and prepare data

Understand how to use GCP for vision tasks (e.g., analyze photos and video)

Understand how to use GCP for Natural Language Processing and sentiment analysis

Understand how to use GCP for Text-to-Speech and Speech-to-Text conversion

Understand how to use GCP to develop custom models using your own data

Understand how to use GCP to do Automated ML where you can apply ML and AI using pre-trained models on common use cases with little or no coding

Audience

Data Analyst, Statistician, Data Scientist, Programmer, Cloud Solutions Architects, Individuals using Google Cloud Platform to create new solutions for AI and ML.

Prerequisites

Basic Python Programming

Duration

One day