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Find the Best Online Computer Science Tutors & Teachers for Private Lessons

For over a decade, our private Computer Science tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1468 online computer science teachers

Ali

verified teacher icon
United Kingdom
5.0

2 reviews

(2)

50€

60-min

/h

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1Students

Machine Learning & AI Tutor | University Lecturer, MSc Distinction | Python, Coursework & Dissertations | Published ResearcherTranslate this text using Google Translate.

Machine Learning & AI Tutor | University Lecturer, MSc Distinction | Python, Coursework & Dissertations | Published ResearcherTranslate this text using Google Translate.

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.

Salim

Morocco
17€

60-min

/h

Practical Web Cybersecurity: Burp Suite, Broken Access Control, IDOR/BOLA, and Bug Bounty for BeginnersTranslate this text using Google Translate.

Practical Web Cybersecurity: Burp Suite, Broken Access Control, IDOR/BOLA, and Bug Bounty for BeginnersTranslate this text using Google Translate.

This course is aimed at beginners and students who wish to understand web cybersecurity in a practical, progressive and structured way. The goal is not to learn techniques by heart, but to understand how a web application works and how to reason when faced with a security problem. We will be discussing, in particular: • the basics of HTTP: requests, responses, methods, cookies and sessions; • Authentication vs. Authorization; • Getting started with Burp Suite Community; • Broken Access Control; • IDOR and BOLA; • horizontal and vertical privilege escalation; • roles, permissions and ownership; • Security API basics; • bug bounty methodology; • drafting a clear vulnerability report. The exercises are performed in dedicated learning labs, CTFs, or explicitly authorized environments. My method is based on a simple line of reasoning: Actor → Action → Object → Expected Authorization Each session alternates between explanations, demonstrations, practical exercises with Burp Suite and guided correction. The program can be adapted to the student's level, from the discovery of Web cybersecurity to the first methodologies of BAC/IDOR vulnerability research.

Javier

Belgium
52€

60-min

/h

Artificial Intelligence, Automation & M365 by ex-AVP System Engineer (Moody's)Translate this text using Google Translate.

Artificial Intelligence, Automation & M365 by ex-AVP System Engineer (Moody's)Translate this text using Google Translate.

Hello, After a 34-year career in systems engineering (including roles as AVP System Engineer & Product Owner at Moody's), I've learned one essential truth: technology is useless if it remains overly complex. There is NO set curriculum or pre-defined syllabus: every session is 100% tailor-made. I adapt entirely to your request, your skill level, and your current objectives—whether that means gently discovering a new tool or solving a specific technical challenge. My approach is built on clear, accessible guidance: no unnecessary jargon, no dull theory, and no prerequisites required. My goal is to make technology accessible, seamless, and immediately useful (if my experience helps you avoid a few costly surprises, then I’ve done my job). Examples of what we can cover together: Discover and Master AI (ChatGPT, Copilot, Claude, Gemini, Veo, etc.) Learn how to write clear prompts to get accurate results (prompt engineering). Use AI to draft content, summarize documents, analyze data, or organize your daily work. Understand best practices to use these tools securely. Simplify and Automate Your Daily Tasks Connect your collaborative tools (emails, files, calendars, M365 services) to eliminate repetitive actions. Migrate to new M365 services smoothly. Set up simple virtual assistants to save you time. Optimize Your Digital Tools & Cloud Environment Take control of your IT workspace, organize collaborative environments, and secure your access. How? We start with YOUR topics: a practical problem to solve, a project to bring to life, or a tool you want to master. Everything is explained clearly and patiently so that you leave every session with practical, actionable solutions. Whatever your starting point or project, the course adapts to you—never the other way around.

MacDonald Digital

verified teacher icon
United Kingdom
35€

60-min

/h

Software Development – Learn Programming, Application Development and Software FundamentalsTranslate this text using Google Translate.

Software Development – Learn Programming, Application Development and Software FundamentalsTranslate this text using Google Translate.

Learn practical software development skills through structured lessons tailored to your current experience, learning goals and interests. These lessons are designed for beginners and developing learners who want to understand how software is planned, developed, tested and improved. Topics can include programming fundamentals, application development, problem-solving, program logic, working with data, databases, APIs, version control with Git and GitHub, debugging, testing and understanding the software development lifecycle. Depending on your goals, lessons can also introduce technologies used in modern software development such as JavaScript, TypeScript, React, Node.js and working with front-end and back-end applications. The focus is on learning through practice rather than simply studying theory. We can work through coding exercises, small applications, software challenges and portfolio projects to help you understand how the different parts of software development work together. Lessons can also support students who want help understanding an existing project or want to strengthen particular areas of their development knowledge. No previous programming experience is required for beginner lessons.

Hossein

Austria
42€

60-min

/h

AI and Machine Learning for Young Students: Understand How It Works and its coceptsTranslate this text using Google Translate.

AI and Machine Learning for Young Students: Understand How It Works and its coceptsTranslate this text using Google Translate.

Artificial intelligence is becoming part of everyday life, but many students use it without understanding what happens behind the screen. This beginner-friendly class helps young students build a clear and meaningful foundation in artificial intelligence and machine learning. As a student, you will learn how to think about AI: where its main ideas come from, how a machine learns from examples, why a model can make predictions, and why it can sometimes make mistakes. Instead of simply learning how to use AI applications, you will begin to understand the reasoning, mathematics and processes that make them work. Using simple explanations, visual examples and interactive exercises, we will explore data, patterns, algorithms, model training, classification, neural networks and real-world AI applications. We will also discuss the limitations of AI and how to evaluate its answers critically. No previous knowledge of AI, programming or advanced mathematics is required. Each lesson will be adapted to the student’s age, current knowledge and interests. I am a Master’s student in Artificial Intelligence at Johannes Kepler University Linz and also have a background in mechatronics. My goal is to make difficult ideas understandable and give students the foundation they need for future studies in mathematics, programming, robotics and artificial intelligence.

Nuria

Spain
29€

60-min

/h

Applied Artificial Intelligence classes | Python, Generative AI, LLM and AutomationTranslate this text using Google Translate.

Applied Artificial Intelligence classes | Python, Generative AI, LLM and AutomationTranslate this text using Google Translate.

Do you want to learn Artificial Intelligence from scratch or do you need support with a subject, practice or project related to AI? The classes are online, one-on-one, and fully tailored to your level and goals. We can work from the fundamentals to practical applications using Python, generative AI tools, language models, and APIs. We can work on content such as: fundamentals of Artificial Intelligence; Python applied to AI and data processing; data preparation, cleaning and analysis; NumPy, pandas and data visualization; Introduction to Machine Learning; classification, regression and model evaluation; Generative AI and Language Models (LLM); use of ChatGPT, Gemini and other AI tools; design and improvement of prompts; consumption of AI model APIs; task automation using AI; AI integration in applications; search and work with information and documents; development of small projects and prototypes; internships, projects and exam preparation. The goal is not only to learn how to use AI tools, but to understand how they work, when to use them, and how to practically integrate them into your own projects. We can start from scratch, work on the syllabus of your subject, or develop a specific application or project step by step. In addition to the classes, you will have access to our educational platform with its own documentation, exercises, examples, practices and other resources to continue working between sessions. Additional information for the student You can bring your own syllabus, practical exercises, data, or project. We will adapt the classes to your prior knowledge and the objective you want to achieve.

Lorenzo

Netherlands
26€

60-min

/h

AQA GCSE Computer Science Tutoring – Clear Explanations, Exam and Programming PracticeTranslate this text using Google Translate.

AQA GCSE Computer Science Tutoring – Clear Explanations, Exam and Programming PracticeTranslate this text using Google Translate.

I'm a third-year Computer Science student at Maastricht University, and I sat AQA GCSE Computer Science myself in 2024. Because it wasn't that long ago, I still remember what it feels like to prepare for the exams, get stuck on certain topics and wonder exactly what an exam question is asking for. My main goal is to make Computer Science feel as clear and stress-free as possible. I want students to leave lessons feeling more confident about the subject and knowing exactly what they need to work on next. Lessons are always adapted to the student. We can work on theory, programming, algorithms, exam-style questions, revision, or simply spend time going over a topic that hasn't fully clicked yet. I like to explain things step by step and at the student's pace, then use examples and practice questions to make sure they genuinely understand it. Since taking my GCSE, I've continued studying Computer Science at university, including programming, algorithms, computer systems, cybersecurity, machine learning and software development. I also prepare lessons around the current AQA specification and exam requirements. Whether you want to catch up, improve your exam technique, raise your grade or simply feel more confident with Computer Science, I'm happy to help.

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Our students evaluate their Computer Science teacher.

To ensure the quality of our Computer Science teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 9 reviews.

Ghous is a very kind and pleasant teacher. He explains everything clearly and is always responsive and supportive. He adapts to the student’s pace and is very flexible when it comes to scheduling and learning preferences. He has a strong command of Electrical Engineering topics and is able to explain even complex concepts in a simple and understandable way. Ghous is also very helpful with assignments, even when they are in a different language, which shows both his deep subject knowledge and his adaptability. I’m very satisfied with his lessons and would definitely recommend him to others.

To ensure the quality of our Computer Science teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 9 reviews.

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