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.
CURIOUS TODAY. CAPABLE TOMORROW.
Learn AI in Arabic. Understand it, experiment with it, and build something of your own — from a better prompt to a working app.
01 / FIND YOUR PATH
Four connected paths, from understanding AI to building something you are proud of. Pick your starting point.
Understand
Understand models, test their answers, and guide them toward your goal.
Build
Turn an idea into an app or website, using AI tools step by step.
Prepare
Clean and label data, and prepare the knowledge AI systems depend on.
Govern
Test systems, identify risks, and make better-informed decisions.
02 / LEARN TO CREATE
Better prompts. Your first app. An agent for your work. Choose what you want to build, then learn how.
Write prompts you can test and improve, then build an agent that completes a multi-step task within clear boundaries.
Turn a simple idea into a working app with no-code tools, and learn how to publish it.
Describe your idea, build a website or program with AI, and review how it works and the quality of its code.
Clean and organize raw data until it is ready for training and analysis.
Create and test a clear data-labeling guide, then measure agreement across annotators.
Prepare your files as a knowledge source that an AI system can search and use.
Test system responses, find weaknesses, and document risks and appropriate controls.
Explore concepts and tools for everyday work, and practice prompt design and task automation.
Mastering AI mindset, prompt engineering, master prompts, AI agents, and practical data classification and labeling projects for translators.
Use AI for marketing copy, images and video, research audiences and markets, prepare advertising campaigns and interpret their results.
Ten practical sessions on productivity, automation and AI agents. Recorded content available from November 11, 2026.
03 / THE OPEN LAB
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.
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
Task: summarise an employment contract for a new hire. Switch prompt components on and watch the prompt — and its precision — change.
Final prompt
Precision meter
An illustration of the thinking, not a live model.
Read each case and choose the risk category the EU AI Act places it in.
LEARNING THAT STAYS WITH YOU
Small steps add up. Start with what you need, and give yourself room to ask, experiment, and improve.
Arabic explanations connect concepts to everyday work and life.
Experiments help you understand what changes, and why.
Turn your learning into a practical project you can develop and share.
04 / FROM LEARNING TO MAKING
These are projects you can practice across the learning paths. Choose your goal and turn learning into something tangible.
AI Foundations
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 tested set of prompts for your real tasks, each with a clear success criterion and documented results.
Building with AI
An agent that plans, uses tools and completes a real task, with guardrails that keep it within bounds.
Building with AI
From spec to launch: working software, with a review of the generated code’s quality and security.
Training Data for AI
Clean real data, label it with guidelines you write, then measure inter-annotator agreement.
Training Data for AI
Chunked, retrieval-ready Arabic knowledge files, with a test proving the system finds the right answer.
AI Governance
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.
Practical skills for your team, with projects that show what they have learned. For businesses and universities.
سنة كاملة بـ١٥٠٠ جنيه، أو ٧٥٠ الآن و٧٥٠ بعد شهر. يبدأ الوصول مع أول دفعة.
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.
Comprehensive upskilling solution for companies and universities.
Per seat
ادفع بالبطاقة البنكية أو Apple Pay أو فوري أو المحفظة الإلكترونية أو أمان، ويُفتح الوصول فور تأكيد الدفع. سجّل في الاشتراك السنوي
YOUR NEXT CHAPTER STARTS HERE
Start with one step. Choose your course and make your first breakthrough.
Let’s start here