Generative-Ai-With-Javascript

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Generative-ai-with-javascript is an Open Source research & education tool that provides a learning course on Generative AI technologies using JavaScript. It features a time-traveling adventure theme to engage developers in learning.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is generative-ai-with-javascript?

Generative AI with JavaScript offers an immersive learning experience designed for developers to understand and integrate Generative AI into their JavaScript applications. The course uses a unique time-traveling adventure theme, allowing users to interact with historical figures like Leonardo da Vinci and Ada Lovelace through a companion app powered by Generative AI. It covers fundamental concepts such as LLMs, prompt engineering, structured output, Retrieval Augmented Generation (RAG), and tool calling. The platform encourages hands-on learning with code examples, assignments, quizzes, and video lessons. Users can run the code locally or utilize GitHub Codespaces for a preconfigured online environment, making it accessible for experimentation and development.

Best used for

Ideal for developers and students who need to learn Generative AI fundamentals, build their first AI applications, and understand advanced concepts like prompt engineering and RAG. Especially valuable for those looking for hands-on experience with JavaScript and AI, using an engaging, interactive format.

Common actions

learn generative AI

build AI apps

understand LLMs

practice prompt engineering

integrate AI with JavaScript

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Capabilities

Key features

Interactive learning course
Generative AI companion app
Code examples
Video lessons
GitHub Codespaces integration
Prompt engineering techniques
Retrieval Augmented Generation

Target Audience

developerstudent

Integrations

github

Pricing & Plans

Open Source

Free

FAQs

What topics are covered in the Generative AI with JavaScript course?

The course covers a wide range of topics including Generative AI and LLM fundamentals, building your first AI app, prompt engineering, structured output, Retrieval Augmented Generation (RAG), tool calling, and the Model Context Protocol (MCP). New lessons are added over time to keep the content current.

How can I run the code examples provided in the course?

You can run the code examples either locally on your machine or by using GitHub Codespaces. GitHub Codespaces provides a preconfigured online development environment, allowing you to experiment with the code and interact with AI models for free without additional setup.

Does the course offer support for different languages?

Yes, the course encourages community contributions for translations. Each lesson folder includes a 'translations/' directory where you can find or add translation files. Currently, a French translation of the README is available, and more are welcome.

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