The complete guide to Build on-Device AI Applications

Name: The complete guide to Build on-Device AI Applications
Rating: 4.5 (105 reviews)

You will learn how to build on-Device AI Applications with JavaScript and deploy AI Applications to various devices!

Created byKumari Ravva

Last updated 12/2024

English

What you'll learn

Learn 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

Course content

5 sections • 76 lectures • 30h 55m total length

Introduction0:26
AI Powered components for building an application8:11
Learn to build an app interface with ai powered components, featuring animated gradient text and gradient borders, tailwind css keyframes, github links, next.js links, and lucid react icons.
Using the Reactjs in AI On-device Application12:50
Creating an E-Commerce Website with AI5:07
Using various technologies in AI Applications14:11

Fieldforms in AI8:43
Achor Elements33:02
Creating a logo24:39
Design code patterns30:25
Flex Layout31:15
Front Properties29:47
Intendation32:24
List Elements32:18
Media Queries30:00
Understand media queries and responsive UI techniques by building a three-column profile layout with flexbox and Tailwind, featuring an animated numbers section powered by Framer Motion and a skills display.
Pagination in Web31:40
Pagination32:43
Adding Animations to web24:48
Bootstrap Components18:16
Code ignator13:10
Control Statments28:09
Flex Sizing20:38
Gitignore24:27
Convert SVG icons into reusable React components, implement theme icons, and configure content layer in a Next.js app to render markdown as typesafe json.
Grid Placement26:56
Optional Git Challenge28:23
Explore Tailwind CSS typography plugins, prose styles, and markdown tooling with remark gfm and rehype slug, plus pretty code with shiki and dynamic tables of contents.
Remote Repositore29:39
Explore how to design and implement multiple blog layouts with grid, overlays, and hover effects, integrate date-fns formatting, and add a functional footer form using react-hook-form.
Understanding Call backs21:55

API Authentication29:11
Band Generator25:43
Learn to build on-device AI apps with Next.js app directory, fonts and Tailwind CSS, and reusable header, logo, and icons for a cohesive UI.
Bootstrap Layout25:43
Combinations Comparators21:38
Custom Middlewares28:23
Fibonacci Database14:23
HTTPS Requests31:16
Rest API25:36
Selecting Elements27:00
String Concatenation24:31
Learn to build a dynamic, debounced search input that fetches crypto data via a search API, using controlled state, context, and responsive user interface styling.
Adding Firebase31:16
Apply MVC26:04
Changing complex state20:28
Core data concepts27:06
Inline Styling21:46
Make Brain strory More Scalables32:18
Managing Component tree21:04
Props Practice22:09
React Conditinal26:40
Sort Data Retrived20:39

Add App Icon30:48
Building APIs26:15
Creating the tranfer functionality27:01
Directory and File Manipulation21:18
Functions and Scope23:53
Create an about us page with a team section, hover reveals for names and roles, and a global contact us banner, using pattern overlays, a repeater, and social icons.
Implementing Countdown Timer25:44
Set up a Next.js project with tailwind css, Montserrat font, and custom colors to create a cohesive design; build a navbar with a logo, links, and framer motion hover effects.
Install Pod to your Project43:50
Mapping data to components25:54
Query data25:38
Update Methods27:11
Alignments and Pinning22:56
Explore alignments and pinning to create sticky, stacked sections, scroll-based animations, and parallax effects with SVGs and custom CSS in a dynamic on-page interface.
CoreML29:04
Build a crypto price dashboard that surfaces current price, 24-hour price change percentage, market cap, total volume, fully diluted valuation, max supply, circulating supply, and sentiment indicators.
Design the User Interface17:46
Design and implement a user interface for on-device AI apps that uses a storage provider to manage coins in local storage, with save and remove actions and saved data view.
Make the API Request32:04
Implement dark and light themes, fine-tune tailwind styles, optimize images with priority and sizes, and build a responsive portfolio with a hamburger menu and custom breakpoints.
Parse the JSON Data32:18
React Devtools22:27
React Forms19:42
React Styling23:01
Run your App26:39
Switch Statements24:13

Commandline Stort cuts24:23
Creating a Struct24:55
Create a modular React UI by converting svg icons into components, building a layout, adding animated text, and wiring social icons with Framer Motion for a responsive home section.
Creating GET Routes22:22
JSX Code Practice21:12
Managing sessioons in Integration25:12
React Components21:04
React Hook Practice25:56
Retrive data from Database32:32
Learn to retrieve data from a database by running and testing a function, observe count increments, and implement a view counter with Supabase, including anon read and update policies.
Storing data23:39
Build and style a dynamic crypto data filter with market cap sorting (ascending and descending), plus a pagination component, while updating URL parameters and crediting CoinGecko.
Building an E commerce Webportal with AI9:30

Requirements

You must have basics knowledge of CSS and HTML

Description

You 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.

Who this course is for:

Data scientists and AI Developers

The complete guide to Build on-Device AI Applications

What you'll learn

Explore related topics

Course content

AI Powered components for building an application5 lectures • 41min

Design patterns in AI21 lectures • 9hr 13min

Custom middleware in AI20 lectures • 8hr 23min

Building API with AI20 lectures • 8hr 48min

Creative a Strict with AI10 lectures • 3hr 51min

Requirements

Description

Who this course is for: