Free Download The Complete Guide To Build On-Device Ai Applications
Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 661.93 MB | Duration: 0h 59m
You will learn how to build on-Device AI Applications with JavaScript and deploy AI Applications to various devices!
What you’ll learnLearn how to build on-Device AI application
Learn to use other frontend technologies such as JavaScript and HTML in AI Applications
Learn how to build and deploy the application into various devices
Learn to build build sophisticated on-Device AI applications
RequirementsYou must have basics knowledge of CSS and HTML
DescriptionYou are going to learn how to Build on-Device AI Applications with AI. On-device AI applications represent a significant evolution in the way artificial intelligence is deployed and utilized, allowing for real-time data processing and decision-making directly on a user’s device, without relying on cloud services. This advancement leverages the increasing computational power of smartphones, tablets, and other edge devices, creating a powerful blend of speed, privacy, and functionality that benefits both users and developers.On-device AI applications are not dependent on an internet connection, making them ideal for users in remote locations or areas with poor connectivity. This capability expands the reach of AI-powered services, ensuring they remain functional and accessible regardless of network conditions. For instance, a language translation app using on-device AI can still work while a user is traveling abroad without internet access. n-device AI offers faster processing times due to reduced latency. By eliminating the need for constant communication with cloud servers, applications can deliver instantaneous responses. This is crucial for time-sensitive tasks like augmented reality, language translation, and real-time video processing. Users experience smoother interactions, which improves overall application usability and engagement. on-device AI is transforming the landscape of mobile applications, offering enhanced privacy, real-time performance, and offline functionality. However, it also presents new challenges in terms of optimization and energy management, pushing developers to innovate further to harness its full potential.
OverviewSection 1: AI Powered components for building an application
Lecture 1 Introduction
Lecture 2 AI Powered components for building an application
Lecture 3 Using the Reactjs in AI On-device Application
Lecture 4 Creating an E-Commerce Website with AI
Lecture 5 Using various technologies in AI Applications
Lecture 6 Fieldforms in AI
Lecture 7 Building an E commerce Webportal with AI
Data scientists and AI Developers
Homepage
www.udemy.com/course/the-complete-guide-to-build-on-device-ai-applications/