Artificial Intelligence & Data Science
Star icon
Most Popular
Trending Arrow Icon
Trending
Hands on Training icon
Hands On Training
Star icon
Trending Arrow Icon
Hands on Training icon

Professional Certificate in Fundamentals of Google AI for Web Based Machine Learning

Course Cover
compare button icon

Course Features

icon

Duration

2 months

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Effort

4 hours per week

icon

Teaching Type

Self Paced

Course Description

Artificial Intelligence (AI), and Machine Learning (ML), now have an impact on every part of our daily routines, at work and at home. This program will introduce you to this disruptive technology and equip you with the skills necessary for applying AI.

ML is a fast-developing technology that can be disruptive and controversial. However, anyone can benefit by a guided tour to learn more about how it works and its potential benefits as well as its implications for society.

This program will help you see the truth behind artificial intelligence (AI) and its limitations. This program explains why data is so important, and shows the relationship between machine learning and data to help you share and use these technologies.

The program begins with a Google AI for Anyone course, which covers basic AI and ML as well as how AI is used in real life. You will learn from Google AI professionals and practitioners what machine learning programming looks at high-level learning techniques like neural networks. You'll also get hands-on experience teaching computers to recognize sounds and images later in the course.

Google AI for JavaScript Developers with TensorFlow.js is a second course that builds on the concepts of course 1. It is beginner-friendly and requires only basic knowledge of JavaScript, HTML, CSS.

You can give your web app superpowers and make next-generation web apps that can be used worldwide by billions. This includes natural language processing, computer vision, and even computer vision.

Learn how TensorFlow.js models work and the APIs that allow you to build real systems that address real business problems. Imagine a customer being able to block spam comments from a chat app or blog before they get sent. Or, using state-of-the-art models, you can build your own smart security camera.

TensorFlow.js is Google's open-source ML library for JavaScript. You will learn more, use state-of-the-art models, retrain models and begin writing your own models to solve simple tasks. This is your first step as a Web Machine Learning Engineer.

Get started on your Web AI/ML journey today with this Google professional certificate program.

Course Overview

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

What AI is and isn't

How machine learning works and how ML, AI and deep learning all fit together

Applied AI and what programming AI looks like

Introduction and overview of the TensorFlowjs library and the advantages of using ML in JavaScript

Ways to consume existing machine learning models

How to write custom models from a blank canvas (Linear Regression, Convolutional Neural Network)

How to use industry standard pre-made models for object detection or natural language processing

How to convert Python models to TensorFlowjs format to run them client side in a web browser

Course Instructors

Jason Mayes

Senior Developer Relations Engineer for TensorFlow.js

Jason is the public face of TensorFlow.js, helping web engineers globally take their first steps with machine learning in JavaScript. He also combines his knowledge of the technical and creative worl...

Laurence Moroney

Lead AI Advocate

Laurence Moroney leads AI Advocacy at Google, working as part of the Google Research into Machine Intelligence (RMI) team. He's the author of more programming books than he can count, including 'AI a...
Course Cover