CURIOUS TODAY. CAPABLE TOMORROW.

From your first question…
to your first
real project.

Learn AI in Arabic. Understand it, experiment with it, and build something of your own — from a better prompt to a working app.

Learn in ArabicProjects you build
A purple pixel character learning on a laptop in a cozy armchair
IDEAS LOVE EXPERIMENTS
ROOM TO EXPERIMENTBring your curiosity. Build from there.
LEARN TODAY · BUILD TOMORROWFind your starting point

Your curiosity starts it all.

Four connected paths, from understanding AI to building something you are proud of. Pick your starting point.

  1. STEP 1 Beginner

    Understand

    AI Foundations

    Understand models, test their answers, and guide them toward your goal.

  2. STEP 2 Beginner to advanced

    Build

    Building with AI

    Turn an idea into an app or website, using AI tools step by step.

  3. STEP 3 Intermediate

    Prepare

    Training Data for AI

    Clean and label data, and prepare the knowledge AI systems depend on.

  4. STEP 4 For professionals

    Govern

    AI Governance

    Test systems, identify risks, and make better-informed decisions.

Your next skill is waiting.

Better prompts. Your first app. An agent for your work. Choose what you want to build, then learn how.

AI Foundations

AI Prompt Engineering and Agent Management

Write prompts you can test and improve, then build an agent that completes a multi-step task within clear boundaries.

25 lessons19.3 ساعة
Explore course
Building with AI

Building AI Apps in Minutes

Turn a simple idea into a working app with no-code tools, and learn how to publish it.

3 lessons4.7 ساعات
Explore course
Building with AI

Building Complete Software with Vibe Coding

Describe your idea, build a website or program with AI, and review how it works and the quality of its code.

11 lessons20.4 ساعة
Explore course
Training Data for AI

Data Cleaning for Model Training

Clean and organize raw data until it is ready for training and analysis.

1 lessons2.3 ساعة
Explore course
Training Data for AI

Data Labeling for Model Training

Create and test a clear data-labeling guide, then measure agreement across annotators.

7 lessons7.4 ساعات
Explore course
Training Data for AI

Preparing Knowledge Files for RAG

Prepare your files as a knowledge source that an AI system can search and use.

2 lessons3 ساعات
Explore course
AI Governance

AI Red Teaming

Test system responses, find weaknesses, and document risks and appropriate controls.

4 lessons7.3 ساعات
Explore course
Building with AI

Smart Shift: Practical AI Transformation

Explore concepts and tools for everyday work, and practice prompt design and task automation.

3 lessons5 ساعات
Explore course
Building with AI

Smart Shift 4 Translators

Mastering AI mindset, prompt engineering, master prompts, AI agents, and practical data classification and labeling projects for translators.

9 lessons12.9 ساعة
Explore course
Building with AI

AI Marketing & Data Analytics

Use AI for marketing copy, images and video, research audiences and markets, prepare advertising campaigns and interpret their results.

11 lessons2.8 ساعة
Explore course
Building with AI

Smart Work

Ten practical sessions on productivity, automation and AI agents. Recorded content available from November 11, 2026.

0 lessons—
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See all courses

Less imagining. More trying.

Adjust, test, and see an idea in action. Three open experiments, right here.

Click the canvas to add points from two classes, then train the model and watch it draw the decision boundary. This is how machines learn from data.

Adding:
Accuracy
—
Loss
—
Epoch
—
The same model in Pythonpython
Runs with Pyodide inside your browser — no server involved.

Quick check

Load “Circular data” and train without the extra feature. Why can’t the model separate the classes?

Skills: how machines learn from data · training, evaluation & generalisation

See an idea.
Try it.
Make it your skill.

Small steps add up. Start with what you need, and give yourself room to ask, experiment, and improve.

  1. 01

    Understand the idea

    Arabic explanations connect concepts to everyday work and life.

  2. 02

    Test it yourself

    Experiments help you understand what changes, and why.

  3. 03

    Build something of your own

    Turn your learning into a practical project you can develop and share.

Things you can say you built.

These are projects you can practice across the learning paths. Choose your goal and turn learning into something tangible.

AI Foundations

An analytical report on an LLM’s behaviour

Test an LLM on defined tasks, document when it succeeds, hallucinates or shows bias, and explain why based on how it works.

Building with AI

A professional prompt library for your work

A tested set of prompts for your real tasks, each with a clear success criterion and documented results.

Building with AI

An agent that completes a multi-step task

An agent that plans, uses tools and completes a real task, with guardrails that keep it within bounds.

Building with AI

A complete app shipped with vibe coding

From spec to launch: working software, with a review of the generated code’s quality and security.

Training Data for AI

A clean, labeled dataset

Clean real data, label it with guidelines you write, then measure inter-annotator agreement.

Training Data for AI

A RAG-ready knowledge pack

Chunked, retrieval-ready Arabic knowledge files, with a test proving the system finds the right answer.

AI Governance

A governance assessment of an AI system

A NIST risk assessment, EU AI Act obligations and a MITRE ATLAS threat analysis for a real system.

Real learner work will be shown here after the first cohort. We will not fake examples.

Bigger ambitions? Bring your team.

Practical skills for your team, with projects that show what they have learned. For businesses and universities.

  • Upskill risk and compliance teams on NIST, the EU AI Act and MITRE ATLAS
  • Assign paths with deadlines to team members
  • Team-level mastery reports per skill (CSV / PDF)
  • SSO, plus Moodle and Canvas integration via LTI 1.3

Learn your way.

سنة كاملة بـ١٥٠٠ جنيه، أو ٧٥٠ الآن و٧٥٠ بعد شهر. يبدأ الوصول مع أول دفعة.

الاشتراك السنوي

سنة من التعلّم والتطبيق

1,500 ج.م / سنة

دفعة واحدة، أو 750 ج.م الآن و750 ج.م بعد شهر. يبدأ الوصول مع أول دفعة.

  • ✓ 9 دورات مشمولة حاليًا
  • ✓ الدورات التي تُضاف للاشتراك خلال السنة
  • ✓ مشروعات ومعلّم ذكي وشهادات إتمام
  • ✓ بدون تجديد أو خصم تلقائي

Teams & Enterprise

Comprehensive upskilling solution for companies and universities.

Per seat

  • Dedicated seats and custom learning tracks
  • Granular team mastery analytics and skill dashboards
  • SSO and LTI 1.3 LMS integrations
  • Custom mentoring sessions and formal organizational billing

ادفع بالبطاقة البنكية أو Apple Pay أو فوري أو المحفظة الإلكترونية أو أمان، ويُفتح الوصول فور تأكيد الدفع. سجّل في الاشتراك السنوي

Your idea deserves
to become real.

Start with one step. Choose your course and make your first breakthrough.

Let’s start here