Cybersecurity, practical work, practice exams, etc.

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From 20 £ /h

1 Discover the pillars of Cybersecurity
2 Identify terminology related to Cybersecurity
3 Understand the different postures of Cybersecurity
4 Understanding the term Cybersecurity,
5 Identify Cybersecurity terminologies,
6 Know the tactics, techniques and procedures used by attackers,
7 Practical workshops

Extra information

RAS

Location

Online from Morocco

About Me

Hello,

I have been passionate about computers for over 20 years. With two decades of teaching experience, I have had the privilege of supporting learners of all ages and levels in developing their computer skills and achieving their professional and personal goals.

Computer science is an essential skill today, opening the door to countless opportunities. Whether you want to learn programming, website design, data analysis, or complex problem-solving, I'm here to guide you every step of the way.

Education

PhD in Computer Science (Artificial Intelligence), Master in E-commerce, Python Certified, Adobe Certified, Microsoft Certified, Several Scientific Publications,

Experience / Qualifications

20 years of experience in computer teaching.
Proven methods suitable for all levels.
Personalized support to help you achieve your goals.
A passion for passing on skills that make a difference.

Age

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

90 minutes

The class is taught in

French

Arabic

English

Skills

Computer science

Networking

Law

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Web Programming Languages (HTML, CSS, JavaScript)

23 £ /h

Description:
Get started with web development and learn how to create modern applications. This course takes you from the basics (HTML/CSS) to advanced concepts (security, APIs).

Goals :

Master HTML, CSS and JavaScript.
Understand the basics of authentication and web services.
Explore the concepts of security and load testing.
Course methods and format:

Video course: Creation of interactive mini-web projects.
Flexibility: Adapted to specific needs (beginner or advanced).
For who ?
Students, budding developers or professionals wishing to get started in the web.

Relational databases (SQL under MySql DBMS)

20 £ /h

Description:
This course is a comprehensive introduction to database management, including design, administration, and integration into applications.

Goals :

Understand relational models and the use of the SQL language.
Create and administer efficient and secure databases.
Integrating foundations into modern applications.
Course methods and format:

Video courses: Guided practice on tools like MySQL or PostgreSQL.
Flexibility: Exercises adapted to your specific projects.
For who ?
Students, developers or professionals wishing to master databases.

Robert

4.74

(27)

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.

Mohamed

4.74

(27)

This comprehensive course is designed to take absolute beginners with no prior coding experience to confident Python programmers. Through hands-on projects, real-world examples, and interactive exercises, students will master Python fundamentals and apply them to build applications, automate tasks, analyze data, and even explore game development.

What You’ll Learn:
🐍 Python Basics:

Syntax, variables, data types, and operators
Input/output, loops (for, while), and conditionals (if-else)

📚 Core Programming Concepts:

Functions, modules, and error handling
Lists, tuples, dictionaries, and sets

🎮 Real-World Applications:

File handling (read/write files)
Web scraping (intro to BeautifulSoup/Requests)
Basic game development (with Pygame)

🔢 Next-Level Skills (Towards "Hero" Level):

Object-Oriented Programming (OOP) – Classes & Objects
Working with APIs (fetching data from the web
Intro to data analysis (Pandas & Matplotlib basics)
Mini-capstone project to showcase skills

Bader

4.74

(27)

Embark on a captivating exploration of the legal realm in my comprehensive law class. As a seasoned freelancer on Apprentus, I offer a unique learning experience that covers the intricacies of law, international law, and civil law. Dive into foundational principles, dissect international legal frameworks, and master the nuances of civil law. This class is designed for individuals eager to grasp the essentials of law, providing valuable insights and practical knowledge. Join me for an enlightening journey into the dynamic and fascinating world of jurisprudence.
I'm pursuing a Ph.D. I am a volunteer teacher in several associations, plus I supervise students in supervised work at the faculty. I am still funded by IRD for weekly seminars throughout the year on the law and protection of the marine environment.
I am a young consultant. Adept at translating complex legal issues into practical solutions, I have successfully navigated intricate legal landscapes to deliver favorable outcomes for clients and stakeholders. I was in an internship position at more than three firms of law in Morocco.
Course Highlights:

Foundations of Law:

Explore the fundamental principles that underpin legal systems.
Understand the basics of legal reasoning and analysis.
International Law Insights:

Delve into the complexities of international law.
Examine the role of international institutions and treaties.
Civil Law Mastery:

Navigate the nuances of civil law with a focus on private disputes.
Learn about contracts, torts, and property rights in civil law.
Interactive Learning:

Engage in thought-provoking discussions and case studies.
Participate in simulations to apply theoretical knowledge to real-world scenarios.
Tailored Approach:

Receive personalized attention and guidance to suit your learning style.
Benefit from a flexible curriculum that adapts to your needs and interests.

Florian

4.74

(27)

Experienced and patient teacher of logic for computer science.

I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills.

Logic
The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof.
Topics include:
Propositional and Predicate Logic
Syntax and semantics
Natural deduction
Semantic tableaux
Correctness and soundness
Completeness

Formal languages and automata
A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language.

Topics include:
Regular languages, context-free languages
Finite automata, pushdown automata, Turing machines
Regular expressions
Regular grammar, context-sensitive grammar
Pumping lemmas for regular and context-free languages

Baia

4.74

(27)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Vincent

4.74

(27)

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.

Dr.Ibrahim

4.74

(27)

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

4.74

(27)

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.

4.74

(27)

The authenticity of an exchange. In a society increasingly rooted in a competitive approach, where automated exchanges with Artificial Intelligence cannot replace the need for human interaction, this is precisely what we lack.
As a lawyer by training and an independent legal consultant, creating "Le Droit" is a breath of fresh air. This private tutoring program is aimed directly at high school students, undergraduate and graduate law students, and more generally at anyone intrigued by the beauty of legal language (you'll discover it soon enough).
Moreover, being currently preparing for the entrance exam to the National School of Magistrates, a solid mastery of legal fundamentals as well as the methods required in legal studies remains.

🎓 It is now necessary to elaborate somewhat on my experience:
- 4 years already dedicated to private lessons (which is significant) via the organization Complétude as well as independently (law, French, science, history and languages).
Regarding the law, and to clarify my point, the teaching that was provided covered and still covers a broad spectrum within the legal field, namely:
- Legal methodology (essential for success: legal essay, practical case study, case commentary and summary note)
- Civil Law (fundamental concepts, contract law, family law, tort law, property law, civil procedure, etc.)
- Criminal Law (fundamental concepts, special criminal law, criminal procedure, criminal law of property and business)
- Administrative Law (fundamental concepts, review of the vast body of existing case law on the subject)
- Labour Law (history of trade unionism, study of the employment contract)
- Public Law (Constitutional Law, Law of Local Authorities, Law of Social Welfare and Action, Constitutional Litigation)
- European Union Law (primary and secondary law, European Union litigation)
- The Law of English-speaking and Spanish-speaking countries
- ... and other subjects directly related to the program of the entrance examination to the National School of the Judiciary.

👋 What about my teaching approach, you might ask?
Beyond this desire for authenticity, it seems particularly crucial to dismantle the prejudices that poison the perception of legal studies. Law can then, and in my humble opinion must, be considered within the delicate balance between discipline and flexibility, between rigor and adaptability.

💬 Wouldn't you be interested?
Please feel free to contact me by message and I remain available to discuss the frequency of classes and their modalities (in-person in Tours, videoconference and possibility of travel if necessary).

In the meantime, Madam/Sir, it would be a real pleasure for me to support you as best I can on your path to success because, as its name suggests: you have the Right 😉

Moumita

4.74

(27)

This class is perfect for students who are new to programming and want to learn how to code in Java and Python. We will start from the basics and slowly build up confidence by learning how programs work, how to write simple code, and how to solve problems step by step. Lessons include easy examples, practice exercises, and clear explanations. No previous coding experience is needed—just curiosity and willingness to learn.

Ali

4.74

(27)

I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham.
What I cover:

Python for data science and ML (NumPy, Pandas, Scikit-learn)
Deep learning with TensorFlow and Keras
Core ML concepts: regression, classification, clustering, neural networks, CNNs
Computer vision and image classification (my published research area)
University coursework support, dissertation help, project guidance
Help with Kaggle competitions and personal portfolio projects

How I teach:
I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects.
Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.

Ammar

4.74

(27)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Ahmed

4.74

(27)

I will explain the law school materials.
I specialize in teaching law school subjects in an easy, simple, and clear way... explaining public law, private law, legal history, criminal law, administrative law, civil and commercial procedure law, Islamic law, and economics...

Kamil

4.74

(27)

Hello! I’m a law tutor who specialises in Edexcel International A-Level Law — and my goal is to help you truly understand the subject, not just pass the exam. To do that, I bring more than a textbook: I’m also a practicing lawyer with experience in courts, consulting, and private client work. During my studies, I have also taken part in international law competitions, academic conferences, and published legal articles. I often draw on real cases and examples from my own legal practice, so abstract rules become concrete and memorable. At the same time, I’m completing my law degree at a leading Russian university, which keeps me closely connected to modern academic standards and exam expectations.

What I bring to our lessons is the ability to show how legal rules work in real life. I’ve worked in courts and advised businesses, and I use those experiences to make Edexcel topics like negligence, contract formation, or human rights feel tangible rather than abstract.

A big advantage of my background is that I’m equally comfortable in both the Romano-Germanic (continental) legal tradition — including its public law and private law dimensions — and the common law system. I know from experience how confusing it can be to switch between these two ways of thinking, and I help students build bridges between them. For Edexcel IAL, which is rooted in English common law but studied by students from all over the world, this dual perspective is incredibly valuable. I can explain not just what the law is, but why it developed that way and how it compares to other legal families.

How I Teach
My lessons are structured around the Edexcel specification, but I adapt them to each student’s level and goals. We work on:
• Solving problem questions using clear legal reasoning (IRAC and beyond);
• Writing high-scoring essays that actually answer the question;
• Evaluation skills — the difference between a B and an A*;
• Exam technique and time management under pressure.

I don’t believe in endless memorization. I want you to understand the logic of the law, so you can apply it to any scenario the exam throws at you.

Reza

4.74

(27)

📐 Learn Calculus Without the Confusion — Step by Step!

Does calculus sometimes feel like a collection of complicated formulas that are difficult to remember?

Maybe you've learned the rules for derivatives or integrals, but you're not really sure why they work or when to use them.

Don't worry — you're not alone! 😊

I'm Reza, a Computer Engineer, teacher, and technology enthusiast. I enjoy teaching mathematics and technical subjects by breaking difficult ideas into smaller, easier-to-understand pieces.

My goal isn't to make you memorize a lot of formulas. I want you to understand calculus and become confident solving problems on your own.

📚 What can we learn together?

Depending on your level, course, and goals, we can work on topics such as:

Functions and graphs
Limits and continuity
Derivatives and differentiation
Rules of differentiation
Applications of derivatives
Related rates
Optimization problems
Curve sketching
Introduction to integration
Definite and indefinite integrals
Fundamental Theorem of Calculus
Applications of integrals
Mathematical problem-solving
Exam and homework preparation

If you're studying calculus at school, university, or as part of an engineering or computer science program, we can focus specifically on the topics you need.

🎯 How do I teach?

I believe calculus becomes much easier when you understand the idea before learning the formula.

That's why I usually start with an intuitive explanation, then work through examples together, and finally give you problems to solve yourself.

We'll take things step by step.

If you make a mistake, that's completely fine. In fact, mistakes are often one of the best ways to learn mathematics. We'll find out where the mistake happened, why it happened, and how to avoid it next time.

And please ask questions! There are no "stupid" questions in my classes. If something doesn't make sense, I'll try to explain it in a different way until it becomes clear.

👨‍🎓 Who is this class for?

This class can be suitable for:

High school students
University students
Engineering and Computer Science students
Students learning calculus for the first time
Students who want to strengthen their mathematical foundations
Students preparing for calculus exams
Students who need help with calculus homework or exercises
Anyone who wants to understand calculus rather than simply memorize formulas

I will adapt the lessons to your current level, your goals, and your learning pace.

💡 My teaching philosophy

For me, learning mathematics isn't about being "good at math."

It's about finding the right explanation, practicing enough, and gradually building your confidence.

You don't have to understand everything immediately.

We'll take it one concept at a time.

Understand → Practice → Make mistakes → Learn → Improve.

That's my approach to teaching.

🚀 Ready to make calculus easier?

Whether you're struggling with limits, derivatives, integrals, or simply want a stronger understanding of calculus, I'd be happy to help.

Let's stop being afraid of calculus and start understanding it. 😊

Learn Easy. Learn Smart. Let's solve it together! 📐