Generative AI and AI agents
Models that write, reason and act, and agents that use tools to finish multi-step tasks.
- You can build
- A retrieval-based assistant or a tool-using agent.
- Good to know first
- Python or JavaScript basics, working with APIs.
What each technology is, why it matters, the skills it needs, and the roles it leads to.
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Technology guides
AI
Dedicated hub
Fields overview
See what you could build in each field and what to know first. Newer fields change fast, so we label them honestly.
Showing every area.
11 of 11 areas
Models that write, reason and act, and agents that use tools to finish multi-step tasks.
Training models from data to predict, classify or recommend.
Connecting apps and services so repetitive work runs on its own.
The frontend, backend and database work behind modern web products.
Running applications on managed infrastructure that scales on demand.
Protecting systems, data and users from misuse.
Collecting, cleaning and modelling data so people can make decisions.
Automating how software is built, tested, released and operated.
Connected devices that sense and process data close to where it is produced.
Immersive 3D interfaces on headsets and phones.
AI that perceives and acts in the physical world; many capabilities are still in research.
This is a general overview of the fields. The guides and courses on this platform may cover only some of them.
How to use this page
Four steps to go from browsing to learning.
Search or filter the guides to find what you are curious about.
Learn what it is, why it matters and the skills it needs.
Check which careers use it, so you know where it can take you.
Pick a course or roadmap and begin building real projects.
Why it matters
Most job listings name specific technologies. Knowing them opens more doors.
Understanding the options helps you pick what to learn, instead of guessing.
When you know how a technology fits into the bigger picture, new tools are easier to learn.
See how skills connect to roles, so every step moves you forward.
Your learning path
Step 01
Read the guide to learn what the technology does and where it is used.
Step 02
Follow a course and build small projects with it.
Step 03
Put your best project in a portfolio and apply for roles.
See which careers use these technologies, then learn them with practical courses. Many are free.
FAQ
Quick answers about the guides and how to use them.
Short, plain-language explainers: what a technology is, why it matters, the skills it needs and the roles it leads to.
Start with a guide that interests you, then follow a related course or career roadmap. You do not need to know everything first.
Yes. You can read every guide without an account or payment.
A guide gives you the big picture quickly. A course teaches you the skill step by step, with projects.
Create a free account, explore free courses, and take your first step toward a career in technology.
How it works
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Technologies you can learn
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