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Machine Learning APIs

Advanced · 8 Laboratórios · 52 Créditos · 6h 50m

Use Case (Advanced) Machine learning

It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering it’s development. With a host of APIs, GCP has a tool for just about any machine learning job. In this advanced-level quest, you will get hands-on practice with machine learning APIs by taking labs like Implementing an AI Chatbot with Dialogflow and Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API.

Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.

Icon  expert expert 9 Créditos 50 Minutos

Classificar texto em categorias com a Natural Language API

Neste laboratório, você aprenderá a classificar o texto em categorias usando a Natural Language API

Icon  advanced advanced 7 Créditos 1 Hora

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. In this lab you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.

Icon  advanced advanced 7 Créditos 45 Minutos

Entity and Sentiment Analysis with the Natural Language API

The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

Icon  fundamental fundamental 5 Créditos 40 Minutos

Awwvision: Cloud Vision API from a Kubernetes Cluster

This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.

Icon  advanced advanced 7 Créditos 45 Minutos

Classify Images of Clouds in the Cloud with AutoML Vision

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

Icon  advanced advanced 7 Créditos 1 Hora

Implementing an AI Chatbot with Dialogflow

The goal of this lab is to introduce the basics of Google Cloud Dialogflow by building a responsive chat bot, such as those handling support requests on websites. Demonstrates how to utilize this interactive AI in application development.

Icon  expert expert 9 Créditos 50 Minutos

Cloud ML Engine: Qwik Start

In this lab you train and deploy a TensorFlow model to Cloud ML Engine for serving (prediction). Watch these short videos Harness the Power of Machine Learning with Cloud ML Engine and Cloud ML Engine: Qwik Start - Qwiklabs Preview.

Icon  intro introductory 1 Crédito 1 Hora

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