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Master the Fundamentals of Data Science and Artificial Intelligence

From 33.57 € /h

Welcome to the Data Science course where you will discover the art and science of transforming data into actionable insights.
In this captivating journey, we'll explore the fundamentals of Data Science, diving into the key concepts and essential techniques for analyzing and interpreting data. You will learn the basics of data cleaning and preparation, data exploration and visualization, and advanced machine learning and predictive modeling techniques.

Whether you are a curious beginner or a professional looking to hone your skills, this course offers a practical, in-depth approach to help you become a Data Science expert. Join me to explore the vast possibilities offered by the world of data together and become a master in the art of data manipulation and analysis.
Get ready to unleash the power of data and transform your understanding of the world around you!

Extra information

There are no specific prerequisites for this course other than the availability of a personal computer, a good internet connection and a quiet environment for an optimal learning experience.

Location

Online from Canada

About Me

I am an AI Engineer with a Master's degree in Software Engineering, specialized in artificial intelligence and machine learning. My background combines strong academic training with real-world experience designing and building intelligent systems. I am passionate about making complex technical concepts accessible and practical. As a teacher, I focus on clarity, structure, and deep understanding rather than memorization. I believe every student can master technical subjects when explanations are adapted to their level and learning style. My teaching approach is patient, structured, and example-driven, with a strong emphasis on applying theory to real projects. I enjoy working with motivated students who are curious and ambitious, whether they are beginners starting programming or advanced learners working on AI, research, or professional development. My goal is not only to help students succeed academically, but also to help them build confidence and real technical skills they can use in their careers.

Education

I hold a Master's degree in Applied Software Engineering with a specialization in Artificial Intelligence and Machine Learning. During my studies, I developed strong foundations in algorithms, data structures, software architecture, and advanced AI systems, including machine learning, deep learning, and natural language processing. I also completed an engineering diploma in computer science, which provided me with rigorous technical training and hands-on experience in building complex software systems. My academic path has always combined theoretical depth with practical implementation, allowing me to understand both the mathematical foundations and the engineering aspects of intelligent systems.

Experience / Qualifications

I currently work as an AI Engineer, where I design and implement intelligent systems, machine learning models, and AI-driven automation solutions. I have extensive experience in Python programming and have worked on projects involving data science, large language models, multi-agent systems, and advanced software engineering workflows. My background includes research experience in AI for software engineering, where I focused on improving the reliability and performance of intelligent systems. In addition to my professional work, I have experience mentoring and guiding students in programming, machine learning, and research projects. I am comfortable supporting learners at different levels, from foundational programming concepts to advanced AI implementation and technical interview preparation. My strength lies in combining academic rigor with industry experience to provide practical, high-quality instruction.

Age

Preschool children (4-6 years old)

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

French

English

Arabic

Skills

Computer science

Information technology

Information systems

Reviews

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Master Mathematics: Your Path to Mathematical Excellence

31.13 € /h

Hello everyone !
As a student of software engineering and deep learning, I am passionate about mathematics and its application in the fields of artificial intelligence and machine learning.

With a patient approach, I strive to make complex mathematical concepts accessible to everyone. My methodology is both clear and interactive, promoting in-depth and stimulating learning. I'm here to support you every step of the learning process, encouraging you to explore and master the essential foundations of mathematics.

Join me on a dynamic journey to mathematical excellence, where we will work together to expand your understanding and strengthen your skills

The Complete 2024 Web Bootcamp to Build Websites from Scratch with HTML & CSS

34.79 € /h

Do you want to learn how to build websites from scratch?

With this online course, you will learn HTML & CSS by building beautiful, modern and responsive websites! You will have a strong foundation in web development that will enable you to start creating any website you can imagine.

By the end of this course, you will be competent in HTML & CSS and be able to create your own professional-grade website from scratch – no prior experience required! You will also have the skillset necessary to continue learning about web development and advancing your career.

What is HTML & CSS?
HTML and CSS are the two most important languages for a new web developer to learn. They are also the easiest. If you’ve always wanted to build webpages, but were intimidated by the code, I will help you through my course to learn your first two languages quickly and easily.

Taking a step-by-step approach, this course will have you learning by doing, building several mini-websites from scratch.

Every webpage that you see on the internet is built using code. There are many different programming languages that can make your website do various things, but the two most important to learn are HTML and CSS. In fact, even people who plan on allowing someone else to build their website should have a basic grasp of both languages. This way you can tweak things behind the scenes, or change some of your formatting without having to always rely on others.

This course of lectures and presentations gives you a basic, yet thorough understanding of both HTML and CSS. The course focuses on having you begin writing code right away so you can learn through doing, and build your own completely functional HTML and CSS webpage at the end.

You’ll begin by learning what HTML and CSS are, so you can get an understanding of what it is that they do. During the course you’ll build several mini-websites that take what it is that you’ve learned and apply it to real world exercises to help cement the skills.

Everyone from aspiring web designers to bloggers, programmers to business owners, company employees and tech hobbyists can benefit from learning some HTML and CSS! Learn to build your own dynamic and beautiful websites or manage the website that you already have.

If you plan on becoming a web programmer or a web designer yourself, HTML and CSS are the first two languages you’ll need to succeed. In fact HTML is required for anyone that wants to get into web development from any angle. Learning it simultaneously with CSS allows you to hit the ground running with page design.

Robert

4.71

(24)

As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

Here are some key words that will be covered in my classes:
Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

Gaëlle

4.71

(24)

While adults are still debating whether kids should use AI, they are already using it.
The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

Bozhidar

4.71

(24)

Hey! Are you looking for a young, approachable yet meticulous tutor in Computer Science or Mathematics? Then I believe I might be the tutor for you! I offer lessons in the aforementioned subjects (English only) for high-school and bachelor students at the start of their studies.

A little bit about me:
My name is Bozhidar and I am a MSc Data Science student at ETH Zuerich. Last year, I completed my bachelor's in Computer Science at TU Delft (the #1 technical university in the Netherlands) with distinction. I was a teaching assistant for 10 courses during my stay at the university. Additionally, I have given private lessons to a few high school and bachelor's students, so I believe I have accumulated enough experience with guiding and tutoring students across different disciplines. I have found out that I enjoy teaching a lot, so that is why I am here - to help you and myself!

My expertise:
During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught:
- Object-Oriented Programming
- Reasoning & Logic
- Computer Organisation
- Algorithms and Data Structures
- Web and Database Technologies
- Calculus
- Information & Data Management
- Automata, Computability and Complexity
- Concepts of Programming Languages
- Computational Intelligence

Here are some of the reviews I have received as a teaching assistant:
Overall: 4.97/5 (70 reviews)
5/5 - "Great job! Did far more than just explaining this example and went far deeper into the material, helping me to understand it."
5/5 - "Favourite TA. Always there for the difficult questions. Never leaves anything unanswered no matter how long it takes."
5/5 - "Delightful person with an insightful way of thought! Brilliant TA!"
5/5 - "Clear explanations and expert in the material"

So, what are you waiting for? Write me a message and let's get the knowledge train running.

Reza

4.71

(24)

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Amine

4.71

(24)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Ayoub

4.71

(24)

This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed.

1. Mechanics:
Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

4. Industrial sciences:
Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

.

Baia

4.71

(24)

Code Your Ideas Into Reality 💻🚀
Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn.

✨ No experience needed.
🧠 Learn by doing - real apps, real logic.
🌍 Build skills for school, work, or freelance life.

Let’s turn your curiosity into code. First session gets you started!

Dr.Ibrahim

4.71

(24)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Dr.Ibrahim

4.71

(24)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Amr

4.71

(24)

In today's rapidly evolving technological landscape, **Python programming** has emerged as one of the most **critical skill sets** for professionals across industries. With applications spanning web development, data science, artificial intelligence, automation, and more, Python continues to dominate as the **language of choice** for developers and organizations worldwide. This proposal outlines a comprehensive Python course designed and delivered by **Amr**, a developer and instructor with over **20 years of experience** in the field. The course combines fundamental programming concepts with practical, real-world applications, ensuring students gain not just theoretical knowledge but **marketable skills** that align with current industry demands. By leveraging cutting-edge teaching methodologies and extensive professional experience, this course offers an unparalleled learning opportunity for aspiring programmers and experienced developers alike.

## 1 Introduction to Python Programming

Python has established itself as a **powerhouse programming language** across various domains, from web development and data analysis to artificial intelligence and automation. As of 2025, the demand for Python skills continues to soar, with industry giants like Cisco, IBM, and Google leveraging its capabilities for their projects . Python's dominance in the technology sector is undeniable – it remains the **most requested programming language** in job postings across multiple industries, including finance, healthcare, technology, and entertainment.

The language's popularity stems from several key factors: its **user-friendly syntax** that resembles natural English, making it exceptionally accessible for beginners; its **versatile nature** that supports multiple programming paradigms; and its **extensive ecosystem** of libraries and frameworks that simplify complex programming tasks. Python's cross-platform compatibility ensures code runs seamlessly on Windows, macOS, and Linux environments, while its open-source nature has fostered a massive community of contributors who continuously expand its capabilities . These attributes make Python not just a programming language but a **comprehensive toolset** for solving diverse computational problems.

For professionals looking to future-proof their careers, Python offers **exceptional value**. According to industry data, Python developers in the United States earn an average of **$116,028 per year**, reflecting the high market demand for these skills . Beyond financial rewards, Python proficiency opens doors to cutting-edge fields like machine learning, natural language processing, and data analytics – domains that are shaping the future of technology across industries.

## 2 Course Overview & Learning Objectives

### 2.1 Course Philosophy
This Python programming course is designed with a **practice-oriented approach** that emphasizes hands-on learning and real-world application. Unlike traditional programming courses that focus heavily on theory, this program balances conceptual understanding with **practical implementation**, ensuring students develop the skills needed to solve actual business problems. The curriculum is structured to build proficiency gradually, starting with fundamental concepts and progressing to advanced applications, with each module incorporating **project-based learning** components.

### 2.2 Key Learning Objectives
Upon successful completion of this course, students will be able to:

- **Demonstrate proficiency** in core Python programming concepts including data structures, control flow, functions, and file handling
- **Develop functional applications** using Python for various domains including web development, data analysis, and automation
- **Implement object-oriented programming** principles to create modular, maintainable code
- **Utilize popular Python libraries** such as Pandas, NumPy, and BeautifulSoup for specialized tasks
- **Integrate with databases** and web APIs to create full-stack applications
- **Apply debugging and testing** techniques to ensure code quality and reliability
- **Build portfolio-worthy projects** that demonstrate marketable skills to potential employers

## 3 Instructor Qualifications & Experience

### 3.1 Professional Background
**Amr** brings an exceptional **twenty-year track record** of development and instruction experience to this Python course. His extensive background encompasses both corporate training and software development, providing a unique blend of pedagogical expertise and practical knowledge. With credentials including a **Bachelor of Computer Science and Management Technology** from Modern Academy and a **Computer Science Diploma** from Arab Academy for Science and Technology, Amr possesses the academic foundation to complement his extensive professional experience.

His career demonstrates **progressive responsibility** and expertise across multiple programming languages and frameworks. Beginning as a technical instructor at renowned institutions including NewHorizons, Knowlogy, and Informatica, he quickly established himself as a developer at Microtech and ITS, where he worked on enterprise-level systems including **ERP and banking applications**. This combination of education and hands-on development experience creates an ideal foundation for teaching programming concepts with both theoretical rigor and practical relevance.

### 3.2 Industry Client Portfolio
Amr's exceptional teaching credentials are further enhanced by his impressive roster of **corporate clients**, which includes some of the world's most recognized brands:

- **Technology Leaders**: Microsoft, IBM, Siemens, Vodafone, and Telecom Egypt
- **Financial Institutions**: National Bank of Egypt, NSGB, CIB, and Central Bank of Egypt
- **Global Consumer Brands**: Pepsi, Coca-Cola, Nestlé, Cadbury, and Americana
- **Industrial Conglomerates**: Chrysler, Valeo, 3M, ABB, and BP (British Petroleum)
- **Government Entities**: Libya Government IT Department, Sudan Army Officers, Egyptian Airports Company

This diverse client experience has provided Amr with **unparalleled insight** into how Python is applied across different industries and organizational contexts. His exposure to various business domains allows him to teach Python not as an abstract academic exercise but as a **practical tool** for solving real business problems.

### 3.3 Teaching Methodology
Amr employs a **learner-centered approach** that emphasizes interactive engagement and practical application. His teaching philosophy is based on the principle that programming is best learned through doing, rather than passive listening. Each concept is introduced through **clear explanations** followed immediately by hands-on exercises that reinforce learning. He adapts his pace and approach based on student comprehension, ensuring no one is left behind while maintaining challenging content for advanced learners.

*Table: Instructor's Recent Training Engagements (2023-2025)*

| **Year** | **Corporate Clients** | **Training Centers** | **Technologies Covered** |
|----------|-----------------------|----------------------|--------------------------|
| **2023** | International Finance Corporation, Raya Integration | Raya Academy, IT-Egypt | VBA, Office Automation, Web Technologies, Software Fundamentals with C#, SQL Server Database Design and Querying, Introduction to .NET Core Framework, Building ASP.NET Core Web API, Front-End Development Basics (HTML, CSS, JavaScript, TypeScript), Advanced Front-End Development with Angular, Integration and Deployment |
| **2024** | 3M, Pepsi | NewHorizons, Radio & Television Institute, Informatics (Lebanon), Total-Tech (KSA), Global Business Star (USA) | SQL Query (20761), SQL Development (20762), SQL Admin (20764,20765), Tabular, MQL5, ASP.NET Core MVC Web Applications (20486), Programming in C# (20483), Programming in HTML5 with JavaScript and CSS3 (20480), LINQ, EF (Entity Framework) |
| **2025** | Siemens, Vodafone | YAT, Future University | Full Stack Development, Data Analysis |

## 4 Detailed Course Curriculum

### 4.1 Module Breakdown
The Python course is structured into **eight comprehensive modules** that systematically build programming proficiency from foundation to advanced application:

1. **Python Fundamentals** (10 hours): Syntax, variables, data types, operators, and basic input/output operations. Students will write their first programs and understand how Python interprets and executes code.

2. **Control Structures & Functions** (15 hours): Conditional statements (if/elif/else), loops (for/while), function definition, parameters, return values, and scope. Emphasis on writing clean, reusable code.

3. **Data Structures** (20 hours): Lists, tuples, dictionaries, sets, and their appropriate applications. Includes comprehensive exercises on data manipulation and storage.

4. **Object-Oriented Programming** (20 hours): Classes, objects, inheritance, polymorphism, and encapsulation. Students will learn to structure code using OOP principles for better maintainability.

5. **File Handling & Modules** (10 hours): Reading/writing files, exception handling, importing modules, and creating custom modules. Practical applications for data persistence.

6. **Web Development with Python** (25 hours): Introduction to Flask/Django frameworks, REST APIs, and basic front-end integration. Students will build a functional web application.

7. **Data Analysis & Visualization** (25 hours): Using Pandas for data manipulation, NumPy for numerical computing, and Matplotlib/Seaborn for visualization. Real-world datasets will be used for analysis.

8. **Introduction to Automation & Scripting** (15 hours): Applying Python to automate repetitive tasks, web scraping with BeautifulSoup, and working with APIs.

### 4.2 Practical Projects
The curriculum includes **five portfolio projects** that allow students to apply their learning:

1. **Data Analysis Project**: Analyzing real business data to extract insights and create visualizations
2. **Web Application Project**: Building a fully functional web application with database integration
3. **Automation Script**: Creating a practical tool to automate a repetitive computer task
4. **API Integration Project**: Connecting to external services and processing returned data
5. **Final Capstone Project**: A comprehensive application that demonstrates mastery of course concepts

### 4.3 Python in Marketing Analytics
A special section of the course will focus on **Python applications in digital marketing**, covering how Python can be used for marketing automation, data analysis, and operations . Students will learn:

- **Working with APIs** to connect different software tools and automate marketing workflows
- **Web scraping** to gather data from web pages for content analysis and competitive intelligence
- **Text analysis** for sentiment analysis, content optimization, and customer feedback processing
- **Data analysis** for marketing analytics using Pandas and visualization libraries
- **Technical SEO** applications using Python libraries like advertools and EcommerceTools

This specialized content demonstrates Python's versatility beyond traditional programming roles, showing its value in business functions like marketing where data skills are increasingly crucial.

## 5 Training Methodology & Delivery

### 5.1 Interactive Learning Approach
This Python course employs a **multimodal teaching methodology** that accommodates diverse learning styles while ensuring practical skill development. Each session follows a structured pattern:

1. **Concept Introduction**: Clear explanation of programming concepts with real-world analogies
2. **Live Coding Demonstration**: Step-by-step coding examples that students can follow along
3. **Guided Practice**: Structured exercises with instructor support and immediate feedback
4. **Independent Challenge**: Problem-solving activities that require applying concepts creatively
5. **Code Review**: Collaborative analysis of solutions to identify best practices and improvements

This approach ensures that students not only understand theoretical concepts but develop the **problem-solving mindset** essential for effective programming. The emphasis is always on writing clean, efficient, and maintainable code following industry standards.

### 5.2 Hands-On Labs & Exercises
A distinctive feature of this course is the extensive **hands-on programming practice** integrated throughout the curriculum. Students will spend approximately **60% of course time** actively writing code rather than passively listening to lectures. Practical components include:

- **Coding exercises** for each new concept introduced
- **Mini-projects** that combine multiple concepts into functional applications
- **Debugging challenges** that develop problem-solving skills
- **Code optimization** activities focusing on efficiency and performance
- **Pair programming** sessions to foster collaboration and knowledge sharing

ِSend me if you have any questions,
Regars,
Amr

Raouf

4.71

(24)

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?

Wissem

4.71

(24)

I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev

Martin

4.71

(24)

Working part-time in the watch industry, I have been tutoring for several years in the context of refresher, occasional support or preparation of exams or competitions. Very experienced in relation to the difficulties encountered by students and pedagogue, I adapt to the needs of each to quickly regain the necessary confidence, the methodology of mathematical reasoning and allow a rapid improvement of results.
Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.

Erik

4.71

(24)

Many students today use AI tools like ChatGPT, but often in an unsafe or improvised way. Legitimate questions arise: Is it allowed? How can mistakes be avoided? How can AI be used without losing control of one's own thinking?

This course isn't about shortcuts or "machine-done work." It focuses on understanding AI as a tool and learning to use it consciously and responsibly. We work with concrete examples from the university setting and show how AI can support learning without compromising academic integrity.

One of the course's central themes is AI as a research tool. We'll explore how to define topics, formulate effective research questions, and structure a project from the outset. AI can help gain an overview and organize ideas, but we'll also clearly analyze its limitations and the need for critical self-reflection.

From there, we move on to academic writing. From developing outlines and arguments to improving style and clarity, AI can be a valuable tool. We demonstrate how to work with drafts, detect inconsistencies, and avoid common errors that often cause problems in academia.

Another section is dedicated to learning with AI. Explaining complex texts, clarifying concepts, reviewing content, and checking one's own understanding are especially valuable uses if the right questions are asked. The goal is to use AI actively, not passively.

Finally, we use AI as an intellectual sparring partner. Not as a substitute for our own thinking, but as an interlocutor that helps to compare arguments, raise objections, and explore other perspectives. This is where AI's greatest real value often lies: thinking better, not thinking less.

The course is designed for students of any discipline. No prior knowledge is required. The goal is to gain confidence in using AI and learn how to integrate it productively and responsibly into university studies.

Madhav

4.71

(24)

Hi, I’m Madhav (Canada, ET). I am an MSc in Computer Science with 7+ years of professional experience building real-world software systems in multiple programming languages (python/javascript/C#).

I provide tutoring in python programming and computer science subjects.

Who I work best with:
Beginners who want a clear path into software development and programming.
Students pursuing Computer Science studies.
Self-taught learners who feel “stuck” and need structure + accountability.
Developers preparing for interviews and aiming for better roles.

In the first lesson, I’ll assess where you are and create a plan based on your target role and timeline. Every session is practical: you’ll code, get feedback, and leave with clear next steps.