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Since March 2026
Instructor since March 2026
Foundational AI + ML for Beginners. Learn the basics of artificial intelligence and machine learning
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From 10.2 C$ /h
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Foundational AI + ML is an introduction to the world of AI and machine learning for newbies with no prior experience. You'll learn the basics of how artificial neural networks operate and how to train simple models to perform simple tasks.
- Learn the basic principles of Data Science
- Learn the core practices of Artificial Intelligence and Machine learning
- Learn to build simple, useful models for daily tasks
Extra information
Requirements: Laptop with internet connection
Location
location type icon
Online from United Arab Emirates
About Me
With over four years of hands-on experience as a STEM educator, I am passionate about equipping young minds with the skills they need for a technology-driven future. My expertise spans coding, robotics, game development, and data science, and I have successfully developed and delivered engaging curricula for students aged 4 to 17 across multiple institutions in Dubai and London. As Lead Instructor and Operations Manager at Faire&Co, I have designed innovative courses in Roblox Studio, Unreal Engine, Python, and 3D modeling, while also managing teams and streamlining operations to ensure high teaching standards. My role at Pure Minds Academy involved coaching students to achieve NCFE certification and running high-impact summer and winter camps. At Engineers To Be, I led hands-on engineering and coding projects, fostering creativity and problem-solving skills. My private tutoring experience includes helping post-graduate students excel in data science and programming, with a proven track record of improving grades and exam performance. I hold an M.Sc. in Network Management & Cloud Computing and a B.Sc. (Hons) in Information Technology from Middlesex University, along with certifications in React Native and Software Engineering. I am committed to inspiring students to explore STEM fields and achieve their academic and career goals.
Education
MSc Network Management and Cloud Computing, Middlesex University, Dubai
BSc Information Technology, Middlesex University, Dubai
Meta React Native Specialization (Meta)
Experience / Qualifications
Game Design and Development Instructor
Coding and Robotics Instructor
Software engineer
3D Modeling and design instructor
Poker Strategy Coach
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Duration
90 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Foundational 3D design is an introduction to 3D design for beginners who want to start creating. You'll learn modeling, sculpting, and more core concepts to kick-start your creation journey

- Learn industry-standard creation tools like Blender
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Plan a travel itinerary or find recipe ideas with what's left in the fridge.

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Knowing that everything we write to the AI is potentially used to train it.

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How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

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Copyright: Who owns an image created by AI?

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ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
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Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

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OpenAI API (ChatGPT-4)
React/Next.js frontend integration
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Developers: Add AI to your portfolio (instant differentiation from other candidates)
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AI chatbot for your website (customer support, FAQ assistant)
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Working code you can deploy immediately
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Vincent
With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

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✅ Cybersecurity: Ethical hacking, data protection, network security
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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
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Raouf
Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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