Track 02 · AI Applications

AI Applications

AI already runs your day. Learn what's actually under the hood — and how to start building with it yourself.

2 sessions

No maths degree needed

1.5h each

Taught byAzadeh Haratiannezhadi Founder @ Cyber Tech Studio

About this track

You already use AI all day. Now find out how it actually works.

Machine learning is how computers find patterns in data and make predictions — without being explicitly programmed for every case. It's the technology behind the biggest shifts in tech right now, and understanding it is quickly becoming a baseline skill in every industry.

This track breaks AI down with real, everyday examples — then puts it in your hands. You'll see how models learn, where they're used, and how to automate real tasks with AI-driven work flows.

No advanced maths. If you can follow a recipe, you can follow how a model learns — we promise.

Track at a glance

Faculty

Azadeh Haratiannezhadi

Company

Cyber Tech Studio

Sessions

2 (live)

Duration

1.5 hour each

Level

No prior requirements

Focus

Applied ML

What you'll learn

Four things you'll be able to do

Demystify machine learning

How models actually learn from data — explained in plain language, no jargon.

See AI in everyday life

ChatGPT, recommendations, voice assistants and spam filters — decoded with real examples.

Automate real tasks with AI

Turn raw alerts into action with AI-driven workflows you build along live.

Build with AI tools

Get hands-on with the same tools practitioners use to ship AI features today.

Your sessions

Two live sessions, two real builds

JULY

5:30 PM CEST

1.5 hour

WEEK 1 - SESSION 1

Machine Learning in the Real World — From basics to everyday applications

Start at zero: what machine learning is, how it learns, and where you already meet it every day.

5:30 PM CEST

1.5 hour

JULY

5:30 PM CEST

1.5 hour

WEEK 1 - WORKSHOP 2

From Alerts to Action — Using AI to automate cybersecurity tasks

Hands-on workshop: use AI to triage and act on security alerts automatically — a real, practical workflow.

5:30 PM CEST

1.5 hour

THE FACULTY

Meet your Professors

AI APPLICATION

Azadeh Haratiannezhadi

Founder @ Cyber Tech Studio · Netherlands

“AI already runs your day. I'll show you what's under the hood — and how to build with it yourself."

Azadeh is the founder of Cyber Tech Studio in the Netherlands, where she builds applied AI solutions for real businesses. At OPIT she teaches Applied AI, with a focus on getting beginners from "what even is this?" to building something useful.She's known for making complex ideas feel obvious. Her sessions move fast but never leave you behind — every concept lands with an example you'll actually recognise.

Keep exploring

The other two tracks

It's one bootcamp — you get all three. Take a look at what else is waiting.

CLOUD COMPUTING

Deploy your first website to the cloud

Build a live project on AWS in 90 minutes. You'll walk away with a real URL you can share.

Discover more

CYBERSECURITY

Spot AI-generated scams & deepfakes

Learn to recognise the threats reshaping cybersecurity today — with live demos you can try yourself.

Discover more

Questions?

Good. Here are the answers.

Do I need coding experience?

No tech background needed. We start from square one, building your skills from the ground up with our faculty ready to guide you through every challenge.

How does this relate to OPIT’s degree programs?

Try before you commit. Experience OPIT’s teaching style and community firsthand at no cost. Get early access to the very tools and learning platform our full-degree students use every day.

Is it really free?

Yes, 100%, no hidden fees. OPIT is redefining tech education by offering this experience completely free of charge. Upon completion, you will receive an official Certificate of Attendance to share with your network on LinkedIn.

What if I can’t attend live?

Every session is recorded and available within 24 hours of broadcast, so you can catch up whenever it suits you. Attending live just means you can ask questions in real time.