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Since January 2023
Instructor since January 2023
Introduction to Cryptocurrency, NFT and Blockchain Technology
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From 113.15 Fr /h
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I am Engineer and Lecturer with more than 16 years of experience in Lecturing Computer Science , Electrical Engineering and Mathematics subjects for all levels,
In this 2 hour session I will cover,

Overview
Cryptocurrency
NFT
Benefits of Blockchain
Blockchain for Industries
Blockchain Solutions
Blockchain and AI
Location
location type icon
Online from Italy
About Me
I am a Engineer and Lecturer
I am passionate to do lecturing for studentss of all levels of all ages.
I am dynamic and passionate person with more than 16 years experienced teaching for students of all levels and ages.
Every student is brillient . We need to help them recognize the brilliance they already have.
Education
PhD in Computer Science and Mathematics( Speciallized in Big Data Analytics ) : 2011- 2015 : University of Basilicata , Italy
Bsc Engineering in Computer Engineering
Experience / Qualifications
Engineer-Machine Learning and Artificial Intelligence
Engineer-Cloud & Virtualization
Postdoctoral Researcher (Machine Learning , Computer Vision, Data Science)
Lecturer
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Duration
120 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
I am Engineer and Lecturer with more than 16 years of experience in Lecturing Computer Science , Electrical Engineering and Mathematics subjects for all levels of students. I have PhD in Computer Science and Mathematics specialised in Big Data and Parallel Programming. Further I am specialized in Machine Learning and Artificial Intelligent , Data Science Areas. I am more interested in giving private lessons in,

Computer Programming ( Python , C/C++, Java ),
Machine Learning,
Data Science,
Data Analytics,
Databases,
Computer Architecture,
Embedded Systems,
Data Analytics for Business,
Digital Signal Processing,
Real Time Systems and Programming,
Parallel Programming,
Statistics,
Algebra ,
Geometry subject areas.

I have experienced in doing Lectures for Bachelor of Engineering Programs, Pearson BTEC HND in Electrical Engineering and HND in Digital Technologies Programs, City and Guilds Programs. Also I am CertifiedTrainer(City & Guilds Advanced Diploma in Teaching, Training and Assessing Learning : IVQ 1106-22).
Read more
Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level with theory and with more than 150 examples.

Topics you will find in the examples:
calculations in Python
strings, and str methods
data types
data structures: set. tuple, list, dict
program flow control
if statement
for loops
break statement
continue statement
while loops
exception handling
input/output
reading files
saving to files
built-in functions
defining your own functions
anonymous functions - lambda expression
set comprehension
list comprehension
dict comprehension
built-in modules
Fibonacci sequence
prime and composite numbers
palindromic numbers
GCD
decimal system, binary system
compression
object oriented programming
and many other
Read more
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Adam
As an experienced teacher of mathematics, physics and programming, I offer online courses tailored to students wishing to improve their understanding, prepare for their exams or succeed in their university projects.

I have been teaching for several years to students of different levels: high school, university, engineering schools, and adults retraining for a new career. My goal is to make complex concepts simpler through clear, progressive explanations adapted to each student's level.

I can assist you in the following areas in particular:

• Mathematics: analysis, algebra, probability, statistics, differential calculus, exercises and exam preparation
• Physics: mechanics, electricity, thermodynamics, general physics and problem solving
• Computer science and programming: Python, Java, algorithms, object-oriented programming, SQL, project support and practical exercises

The courses are conducted online via videoconference with screen sharing and detailed step-by-step explanations. I place great importance on a genuine understanding of the concepts and on student autonomy.

I also use modern artificial intelligence tools (such as ChatGPT and programming assistants) to help students learn more effectively, while developing their thinking skills and personal understanding.

I can help you for:
• Exam and competition preparation
• regular support
• university projects
• homework and practical exercises
• catch-up and remedial education
• Introduction to programming

Feel free to contact me to discuss your goals and level in order to set up support tailored to your needs.
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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.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 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.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
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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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Laroussi
Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.
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Contact Tilani
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Similar classes
arrow icon previousarrow icon next
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Adam
As an experienced teacher of mathematics, physics and programming, I offer online courses tailored to students wishing to improve their understanding, prepare for their exams or succeed in their university projects.

I have been teaching for several years to students of different levels: high school, university, engineering schools, and adults retraining for a new career. My goal is to make complex concepts simpler through clear, progressive explanations adapted to each student's level.

I can assist you in the following areas in particular:

• Mathematics: analysis, algebra, probability, statistics, differential calculus, exercises and exam preparation
• Physics: mechanics, electricity, thermodynamics, general physics and problem solving
• Computer science and programming: Python, Java, algorithms, object-oriented programming, SQL, project support and practical exercises

The courses are conducted online via videoconference with screen sharing and detailed step-by-step explanations. I place great importance on a genuine understanding of the concepts and on student autonomy.

I also use modern artificial intelligence tools (such as ChatGPT and programming assistants) to help students learn more effectively, while developing their thinking skills and personal understanding.

I can help you for:
• Exam and competition preparation
• regular support
• university projects
• homework and practical exercises
• catch-up and remedial education
• Introduction to programming

Feel free to contact me to discuss your goals and level in order to set up support tailored to your needs.
verified badge
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.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 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.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
verified badge
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?
verified badge
Laroussi
Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.
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