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Since September 2021
Instructor since September 2021
Computer science, maths, and all 3 types of science
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From 54.59 € /h
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Computer Science is the study of computers and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software and software systems; this includes their theory, design, development, and application. This will also cover the privacy and systems security.
Extra information
Use a laptop as this will only be online lessons.
Location
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Online from United Kingdom
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
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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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"Flash" format (60 min): Ideal for an intensive introduction. We focus on vital concepts and fundamental structures with exercises for immediate application.

"Expert" format (90 min): The complete session. We delve into complexity (Big O), solve high-level algorithmic problems, and explore advanced structures (Trees, Graphs).

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The Essentials (10 min): Why algorithms are the beating heart of modern computing.

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Practical application & Challenges (45 min): * Coding of sorting and binary search algorithms.

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Review & Strategy (10 min): Q&A session, tips for your interviews and resources to continue progressing on your own.

💎 Why choose this course?

"Engineering" approach: We don't copy code, we understand how it works under the hood.

Interactive Pedagogy: A mix of visual explanations and live coding.

Post-Session Materials: You will leave with exercises and summary sheets.

Total Adaptability: The course is adjusted in real time according to your strengths and weaknesses.

Ready to transform the way you program?
Book your slot now and take a decisive step in your IT journey!
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Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

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.

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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".

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"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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Contact Shaun
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1st lesson is backed
by our
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Similar classes
arrow icon previousarrow icon next
verified badge
Adam
Code alone is no longer enough; learn to design effective solutions.

Why are some programs faster than others? Why can choosing a list rather than an array make all the difference? This course is not just a programming lesson: it's an immersion in the pure logic of computer science.

Whether you are a student in the middle of revision, a passionate self-taught person or a professional preparing for a technical interview (FAANG, Big Tech), I will give you the keys to solve any complex problem with elegance and efficiency.
⏱️ Choose your format

"Flash" format (60 min): Ideal for an intensive introduction. We focus on vital concepts and fundamental structures with exercises for immediate application.

"Expert" format (90 min): The complete session. We delve into complexity (Big O), solve high-level algorithmic problems, and explore advanced structures (Trees, Graphs).

🎯 What you will master

The art of optimization: Understanding temporal and spatial complexity (Big O notation) to write professional code.

The engineer's toolbox: Easily manipulate Tables, Lists, Stacks, Queues, Dictionaries and Trees.

The logic of resolution: Implement the most efficient sorting and searching algorithms.

Critical thinking: Knowing how to choose exactly the right data structure for each situation.

📑 Your progress plan

The Essentials (10 min): Why algorithms are the beating heart of modern computing.

Data Architecture (25 min): Fundamentals and performance analysis. How to never code "at random" again.

Practical application & Challenges (45 min): * Coding of sorting and binary search algorithms.

Manipulation of dynamic structures.

Exclusive 90 min: Introduction to graph traversal and hierarchical structures.

Review & Strategy (10 min): Q&A session, tips for your interviews and resources to continue progressing on your own.

💎 Why choose this course?

"Engineering" approach: We don't copy code, we understand how it works under the hood.

Interactive Pedagogy: A mix of visual explanations and live coding.

Post-Session Materials: You will leave with exercises and summary sheets.

Total Adaptability: The course is adjusted in real time according to your strengths and weaknesses.

Ready to transform the way you program?
Book your slot now and take a decisive step in your IT journey!
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

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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Contact Shaun