Why AI courses are exploding in popularity

By the DIIT team · 5 min read

A few years ago, "AI" was a topic for engineers and research labs. Today a shopkeeper uses it to write product descriptions, a college student uses it to summarise notes, and a marketer uses it to draft a week of social posts before lunch. That shift — from specialist tool to everyday skill — is exactly why AI courses have become some of the most in-demand training around. Here's what's actually driving it.

1. The tools became usable by anyone

The biggest change is that you no longer need to code to use AI. Tools like ChatGPT and AI image generators take plain-language instructions. The bottleneck moved from "can you program?" to "do you know how to ask well and apply the output?" — and that's a skill anyone can learn in weeks, not years.

2. Employers now expect AI literacy

Across offices, accounts departments, marketing teams and small businesses, the same expectation is appearing: candidates who can use AI to work faster. It's becoming the new version of "must know MS Office". Knowing how to use AI in Excel, in Office, or for content is quickly turning into a baseline hiring filter rather than a bonus.

3. It multiplies skills you already have

An accountant who learns AI doesn't stop being an accountant — they become a faster one. A student who learns prompt engineering writes better assignments and research. AI is a force-multiplier on existing work, which is why people from every field are signing up, not just IT students.

4. Colleges are pushing students toward it

With internships now compulsory for many degrees, students are actively looking for programs that satisfy that requirement and teach something employers value. AI internship tracks tick both boxes at once, which has poured a whole new group of learners into AI courses.

Which AI skills are worth starting with?

• AI for productivity — Office Automation with AI, Advanced Excel with AI. Immediate, practical, job-relevant.
• Prompt Engineering — the core skill that makes every other AI tool work better for you.
• Generative AI — for content, images and building simple AI-powered applications.
• AI Web Development — build and launch real websites with no coding (more on that in our next post).

How to start without a tech background

You don't need to be an engineer. Start with one practical track that matches your field, learn it hands-on with guidance, and build from there. At DIIT, our AI internship program offers nine focused 45-day tracks — offline or online — designed exactly for beginners and college students.