AI & Technology
5 courses·EN
Artificial intelligence is the skill everyone wants to learn and few can teach well. These courses turn hard AI and computing topics into interactive lessons you can watch, question, and finish — taught by a digital-human instructor, with designer-grade slides and assessment built in.
Artificial intelligence has moved from a specialty to a baseline expectation in nearly every job. The AI & Technology hub collects courses that help you build practical, current AI and computing literacy — whether you are starting with generative AI, learning to code in Python, or trying to understand the tools already reshaping your work. Each course is a complete, interactive lesson — not a slide deck with voiceover, and not a recorded lecture. A digital-human instructor teaches the material page by page, and you can interrupt at any point by holding the talk button to ask a question, answered from the course content itself. Every course ends with a short assessment, and your progress is saved so you can resume on any device. The slides are held to a designer-grade standard across every page — not a polished cover followed by filler. For AI and computing topics, that readability matters: diagrams, code, comparisons, and step-by-step explanations all need to be clear at a glance, and here they are. Who these courses are for. Professionals adding AI fluency to their work; students and career-switchers learning to code; teams that need a shared, assessable baseline of AI literacy. Courses are self-paced and free to watch, so you can try one before committing. What you can learn. Foundations of generative AI — what large language models are, what they can and cannot do, and how to use them responsibly. Introductory programming in Python, from first syntax to small working projects. Practical computing concepts that make the rest of AI and software easier to reason about. How to use this hub. Pick a course, press play, and treat the instructor like a tutor: pause, ask, and check your understanding with the end-of-course assessment. If a topic you need is not here yet, it is on the way — and you can always build your own course on the same engine in as little as fifteen minutes.
Courses in this topic
Python Functions and Data Structures
Learn to write reusable Python functions and work with key data structures like lists, dictionaries, and tuples to organize and manipulate data effectively.
16 slides·32 min
How Large Language Models Work
A beginner-friendly overview of how large language models learn, reason, and generate text.
16 slides·32 min
Introduction to Machine Learning
This training introduces machine learning concepts and applications for beginners seeking foundational knowledge in data-driven model development.
16 slides·32 min
Intro to Python Programming
A beginner-friendly training that teaches the fundamentals of Python programming, including syntax, data types, and control flow, for new developers.
8 slides·16 min
Getting Started with Generative AI
Introductory training on generative AI fundamentals, designed for beginners to understand core concepts, capabilities, and practical applications.
8 slides·16 min
FAQ
- Do I need any background to start?
- No. The introductory courses assume no prior experience with AI or programming. If a course needs prerequisites, it says so in its description.
- Can I really ask the instructor questions out loud?
- Yes. Hold the talk button during any course and ask in plain language. The instructor answers from the course content, so responses stay on-topic.
- Are these courses free to watch?
- Yes. Every course in this hub is free to watch on its public link, voice Q&A included. You only pay if you create your own course.