To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Manus AI is a Chinese autonomous AI agent designed to handle complex tasks with minimal human input. Unlike traditional ...

If there is one skill that sits at the heart of most successful AI and machine learning projects today, it is Python. Whether a company wants to build smarter automation, design predictive solutions, ...

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Microsoft-AI-Automation-Labs/ ├── 📁 Scenario1-EmailNotifications/ │ ├── 🔷 CSharp/ # .NET 8 Web API with Semantic Kernel │ ├── 🐍 Python/ # Azure Functions v4 HTTP trigger │ └── 📘 TypeScript/ # Node ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...