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From basics to advanced Java skills, including Java Core, OOP, JDBC, JavaFX and Gluon for mobile apps, and Java Spring Boot with JPA and Hibernate for web apps, and Gluon to convert all apps cross-platform. You can plan your sessions with me. We can start at the very beginning or at your specific level. We can do one session or as many as you like. I normally start with one hour to assess and plan your training program, and then we book sessions from there. I can teach it in my office in Pall Mall or at your location within a reasonable distance in London.

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Unlock your academic potential with engaging and adaptive lessons in Maths, Computer Science, and Science at GCSE level and below! As a straight 9 student who has successfully navigated challenging private school entrance exams, now studying Maths, Further Maths, Physics and Computer Science at A-Level, I bring firsthand experience and insights into what it takes to achieve top grades while nurturing a genuine passion for learning. My interactive teaching style creates a comfortable environment where students feel free to ask questions and tackle their weaknesses. Each lesson involves addressing any subjects students find challenging, honing exam techniques, and working through exam questions. Together, we’ll focus on understanding underlying concepts and developing essential problem-solving and critical thinking skills. I truly believe that anyone can enjoy Maths; often, it’s just about finding the right person to guide you.

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Computer Science is the future. As we are moving towards a digital age with a high speed. As a programmer you can be a part of that future and can develop many different novel things. This course is made specifically for any person of any age to get a crystal clear image of Computer Science. You will learn basic concepts of Programming (using Python and C++) and of many other fields (such as, AI, database, networking and so so). After completing the course you will be able to create and implement many different novel idea digitally.

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Python has become essential in the field of computer science. Are you keen to embark on your machine learning journey to become an AI expert? You'll need to know how to design algorithms, code proficiently, and implement your ideas on a solid mathematical foundation. In this course, we will guide you through all stages of mastering machine learning, starting from Python and progressing to the latest advancements, particularly in reinforcement learning.

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I am a Cambridge graduate in CS, with over 10 medals and national distinctions for competitive programming. For over 5 years, I have helped hundreds of students discover how easy and beautiful Computer Science is: - Assisted students in improving from a C to an A* grade. - Helped motivated students qualify for the National Informatics Olympiad. - Guided many achieve their target grades in A-Levels, even attaining the perfect score. - Prepared for IB/IA, A-Levels, GCSE, University Entry, or equivalent. - Assisted with specific projects at a professional level, including interview preparation. All my success in Computer Science is due to my teachers, who knew how to inspire my passion and turn any concept into an easy-to-understand story. That's why I decided to help others further to elucidate the secrets of Computer Science and to smile with relief in the exam hall when they notice that they know how to solve all the subjects perfectly. It's amazing how quickly a student can progress when the material is explained to them in their understanding. I have a highly flexible schedule and can adapt to accommodate your needs. If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need :).

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13Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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19Students

Want to learn Revit and AutoCAD for engineering and BIM projects? This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting. No previous experience is required. Students can also receive help with: - university assignments - BIM and Revit projects - technical drawings - portfolio development - internship preparation Lessons are adapted to the student’s level and learning goals.

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9Students

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! :)

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4Students

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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4Students

This course is designed for students and professionals who want to learn how to analyze data using the R programming language. You will start with the basics of R, including variables, data types, and simple functions, and then move on to real-world data analysis skills such as data cleaning, visualization, and basic statistics. By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.