How to: Mar 1, 2024
1. Generative AI is a type of Artificial Intelligence that creates new content based on its training data, rather than just returning a pre-programmed response. You may have tried creating text or images using models like GPT-4, Gemini, or the open source Llama 2. But how do these models actually work? This in-depth freeCodeCamp course will teach you the underlying Machine Learning concepts that you can use to create your own models. And it'll show you how to leverage popular tools like Langchain, Vector Databases, Hugging Face, and more. (30 hour YouTube course): https://www.freecodecamp.org/news/learn-generative-ai-in/

2. One Generative AI model that just came out is Google's new Gemini model. And freeCodeCamp instructor Ania Kubów just finished her comprehensive course showcasing Gemini's many features. You'll learn how Gemini works under the hood, and about its "multimodal" functionalities like image-to-text, sound-to-text, and even text-to-video. The course culminates in grabbing an API key and coding along with Ania to build your own AI Code Buddy chatbot project. (1.5 hour YouTube course): https://www.freecodecamp.org/news/google-gemini-course-for-beginners/

3. And if that wasn't enough AI courses for you, Microsoft recently started offering a professional certification in AI fundamentals. This course – taught by CTO and prolific freeCodeCamp contributor Andrew Brown – will help prepare you for the exam. You'll learn about classical AI models, Machine Learning pipelines, Azure Cognitive Services, and more. (4 hour YouTube course): https://www.freecodecamp.org/news/azure-data-fundamentals-certification-ai-900-pass-the-exam-with-this-free-4-hour-course/

4. freeCodeCamp just published another full-length handbook – this time on Regular Expressions. RegEx are one of the most powerful – and most confusing – features of modern programming languages. You can use RegEx to search through data, validate user input, and even find complex patterns within text. This handbook will teach you key concepts like anchors, grouping, metacharacters, and lookahead. And you'll learn a lot of advanced JavaScript RegEx techniques, too. (full-length handbook): https://www.freecodecamp.org/news/regex-in-javascript/

5. Serverless Architecture is a popular approach toward building apps in 2024. Despite the name, there are still servers in a data center somewhere. This isn't magic. But the tools abstract the servers away for you. In this intermediate JavaScript course, Software Engineer Justin Mitchel will teach you how to take a simple Node.js app and run it on AWS Lambda with a serverless Postgres database. He'll even show you how to automate deployment using GitHub Actions and Vercel. (4 hour YouTube course): https://www.freecodecamp.org/news/serverless-node-js-tutorial/

Also, on this week's podcast I interviewed an emerging star in the Machine Learning community: Logan Kilpatrick. The day he started working at Open AI, ChatGPT was brand new and hit its first 1 million users. We talk about Logan's journey from the suburbs of Chicago to the heart of Silicon Valley, his work at NASA, and his many freeCodeCamp tutorials on the Julia programming language. (2 hour listen in your browser or favorite podcast app): https://www.freecodecamp.org/news/podcast-chatgpt-open-ai-logan-kilpatrick/

Quote of the Week: *"The plural of regex is regrets."* — Steve, a Brooklyn-based Golang developer and reluctant user of Regular Expressions