Have you ever thought about creating your own Artificial Intelligence applications using JavaScript but don't know how to take the first steps? The JavaScript Advocacy team would like to invite you to the free course: Generative AI with JavaScript! In this article, we will explore more about the course and how you can enhance your JavaScript development skills with AI!
Generative AI with JavaScript - The Course You've Been Waiting For!
This free Generative AI with JavaScript course is the ideal opportunity for those who want to learn how to transform their ideas into intelligent applications but don't know where to start studying.
In this course, you will learn from basic AI concepts to implementing Generative AI models using JavaScript.
What Will You Learn in the Course?
You will learn about essential prompt engineering techniques, how to structure questions to obtain answers from AI models, as well as techniques like RAG (Retrieval Augmented Generation) among other topics.
Additionally, you will learn how to deploy these applications using Azure, ensuring that your developed applications are scalable and secure. All of this will be covered practically, with real examples and use cases that you can apply directly to your projects!
The series consists of 10 episodes! Let's now take a brief overview of each one!
Series Overview - Generative AI with JavaScript
As mentioned, the video series Generative AI with JavaScript covers everything you need to know about using AI with JavaScript. From the fundamentals of Large Language Models (LLMs) to building complete applications, including techniques to improve the accuracy and reliability of responses with Retrieval-Augmented Generation (RAG) and the use of frameworks like LangChain.js. Below is a summary of each episode for you to follow.
What you need to know about LLMs
In this video, you will learn what Large Language Models (LLMs) are, how they are trained, how they work, and what their limitations are.
Essential Prompt Engineering Techniques
In this video, you will learn how to structure questions and prompts to get the best results from AI models.
Improve AI Accuracy and Reliability with RAG
In this video, you will learn how to use specific data to generate customized responses with the Retrieval-Augmented Generation technique.
Speed up your AI Development with LangChain.js
In this video, you will learn concepts of LangChain.js and how it can accelerate the development of AI applications.
Run AI models on your local machine with Ollama
In this video, you will learn how to integrate local AI models into your development workflow for testing and execution.
Get started with AI for free using Phi-3
In this video, you will learn how to experiment with free models directly in the browser with Ollama and Phi-3.
Introduction to Azure AI Studio
In this video, you will learn how to use Azure AI Studio to create and train AI models in the cloud.
Building Generative AI Apps with Azure Cosmos DB
In this video, you will learn how to use Azure Cosmos DB to store data and perform vector searches in AI applications.
Azure tools & services for hosting and storing AI apps
In this video, you will learn how to use Azure services to host, store, and scale AI applications.
Streaming Generative AI output with AI Chat Protocol
In this video, you will learn how to integrate streaming functionalities into your AI applications using the AI Chat Protocol.
❓How to use the course repository?
Yes! Besides being free, the course provides a GitHub repository with all the necessary resource.
You will find code examples, tutorials, slides, and scripts that make it easier to follow the content. We recommend opening the project in GitHub Codespaces to start practicing immediately.
Here's what you'll find:
- Sessions: Each session in the repository contains descriptions, resource links, and scripts for you to follow.
- Slides and Demos: Use the slides and session demonstrations to learn more about the content taught in the course.
- Hands-On Tutorials: Detailed tutorials for you to learn best practices and apply AI concepts.
🎯Start now!
The repository also provides "quickstarts" for those who want to start programming with JavaScript and AI:
- Phi-3 in the Browser: Run directly in the browser (GitHub account required).
- GitHub Models: Access models directly in your browser after the public beta.
- Azure OpenAI: Use the free Azure account to start using OpenAI.
Examples of JavaScript codes and Applications with AI
The repository also includes examples of practical JavaScript code and AI applications. You can access them directly on GitHub.
Conclusion
Want to develop essential AI skills using JavaScript? The Generative AI with JavaScript series offers a unique opportunity to learn practically, using tools widely known by developers.
From prompt engineering practices, you can learn how to create cutting-edge applications. Additionally, integration with Azure services will allow you to increase the potential of your solutions.
Watch the complete series now and transform your ideas into intelligent solutions with JavaScript and AI!
Don't waste time—start now and unlock the power of AI with JavaScript!
See you in the next article! 🚀
Microsoft
