Make your apps smarter with Embeddable AI

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Course Features

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Duration

1 hour

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

1 hour

Course Description

You're building an application. It's 2023, which means your app has to be enhanced with AI however, all the AI you are seeing requires connection to the internet, and also sending your personal information to the company that provides AI as an service. However, the application you are developing might not be connected to the internet. Don't despair. In this course, you'll discover how to integrate AI libraries into your app to allow it to operate autonomously in your factory floor or in an oil well located in central North Sea or in the car's infotainment system.In the age of apps that are a element of our daily lives and are infused with Artificial Intelligence (AI) capabilities is not a luxury anymore, it's a requirement. But, making sure your application is always smart, even offline is a problem. The transmission of sensitive information over the internet can be a source of security and privacy concerns. Additionally, a variety of applications, ranging including remote operations of plants to vehicle systems, might not be able to access the internet continuously. That's where the potential of Embeddable AI shines. With AI libraries that are directly integrated in your app, you are able to provide intelligent functions without the requirement for additional internet-based services, thereby ensuring the privacy of your users' data and an uninterrupted offline operation. When you take a look at this project, students will acquire a thorough understanding of the integration of AI into apps. For the best experience, make sure you make sure you are using the most recent version that include Chrome, Edge, Firefox, Internet Explorer, or Safari.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Understand the principles and importance of embedding AI into applications, especially in contexts where internet access might be intermittent or unavailable.

Learn to use Watson Embeddable AI Hands-On: Hands-on experience with Watson Embeddable AI libraries, focusing on capabilities such as sentiment analysis and emotion detection, to empower apps with intuitive functionalities.

Course Instructors

Bradley Steinfeld

Lover of technology and learning

I work for IBM. I like all tech, especially AI!
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