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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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20Students

Want to learn Python through real projects and practical applications? This course is designed for beginners, students, and future developers who want to build real Python projects while learning programming step by step. Instead of only learning theory, we focus on hands-on practice and real applications of Python. Topics may include: - Python fundamentals - Automation projects - AI-related tools and workflows - finance and data projects - beginner web development - problem solving and coding logic No previous programming experience is required. Students can also receive help with: - university assignments - coding projects - beginner portfolios - internship preparation Lessons are adapted to the student’s level and goals.

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10Students

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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1Students

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.

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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.