Cambridge Graduate & Google Developer - Programming Tutoring 1 on 1

From 71 € /h

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 :).

Location

Use Ctrl + wheel to zoom!

At student's location :

Around London, United Kingdom

Around Dublin, Ireland

Around Birmingham, United Kingdom

Around Manchester, United Kingdom

Around Glasgow, United Kingdom

Online from United Kingdom

About Me

Since I was 10, I've been into programming, leading to a Computer Science degree from Cambridge. I worked at Google for a bit, but left to follow my real passion: teaching others about tech. Now, that's what I do – sharing my knowledge and helping people learn.

Education

Cambridge University with a Bachelor's in Computer Science with focus on Software Development.
Planning to pursue a Master's and PHD in Artificial Intelligence.

Experience / Qualifications

Gold medal at Informatics Stars 2020, Online
Gold medal at Prosoft NT 2020, Online
Silver medal at Descendants of Moisil 2020, Dublin
Silver medal at the National Informatics Olympiad 2019, London
Silver medal at Prosoft NT 2019, Berlin
Silver medal at Descendants of Moisil 2019, Bucharest
Bronze medal at the National Informatics Olympiad 2018, Sofia
Silver medal at Informatics Stars 2018, Oslo
Silver medal at Moisil 2018, Cluj

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

The class is taught in

English

Skills

Computer programming

Information technology

Computer science

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

5.0

(2)

The digital landscape is evolving at an unprecedented rate, and cyber threats lurk around every corner. Cybersecurity resilience in the modern world cannot be just an add-on - it's a necessity. Offensive security professionals like ethical hackers and penetration testers can help proactively discover unknown threats and address them before the cybercriminals do.

This Cisco Certified Ethical Hacker course is designed to equip you with an Ethical Hacker skillset and provide a solid understanding of offensive security. You will become proficient in the art of scoping, executing, and reporting on vulnerability assessments, while recommending mitigation strategies. Follow an engaging gamified narrative throughout the course and get lots of practice with hands-on labs inspired by real-world scenarios.

After completing this course, continue your cybersecurity career in offensive security as an ethical hacker or penetration tester. Or use this course to strengthen your defensive security knowledge. By understanding the mindset of threat actors, you will be able to more effectively implement security controls and monitor, analyse, and respond to current security threats.

**** Module Covered ****
+ Module 1: Introduction to Ethical Hacking and Penetration Testing
+ Module 2: Planning and Scoping a Penetration Testing Assessment
+ Module 3: Information Gathering and Vulnerability Scanning
+ Module 4: Social Engineering Attacks
+ Module 5: Exploiting Wired and Wireless Networks
+ Module 6: Exploiting Application-Based Vulnerabilities
+ Module 7: Cloud, Mobile, and IoT Security
+ Module 8: Performing Post-Exploitation Techniques
+ Module 9: Reporting and Communication
+ Module 10: Tools and Code Analysis
+ Final Capstone Activity

** Module Exams: 10 Module Exams
** Final Course Exam: 01 Final Course Exam
** Approximately 70 hours of training.

Priya

5.0

(2)

Having worked as a trainer for close to 3 years for the leaving cert and higher students, I have good exposure to the teaching curriculum and the requirements of a trainer. I look to deliver results and ensure that my students are comfortable and fully informed about the modules.

Tugay

5.0

(2)

Scratch is a free a block-based programming language created by the MIT Media Lab for children ages 7 and up. By enabling children to program their own stories, games and animations, Scratch is intended to help “young people learn to think creatively, reason systematically, and work collaboratively — essential skills for life in the 21st century”.

Why Scratch is perfect for kids 7-14 to learn programming?
1. it’s easy
2. it’s fun
3. it’s robust

With the class: Your child will be able to create interactive stories with any character they can think of! Customizing sprites and building narratives will improve their artistic skills and make them better at design, storytelling, and thematic consistency.

Harshit

5.0

(2)

Data Science can be learned in a better way if you have an understanding of practical problems that are to be worked on. I focus more on explaining the concept behind a certain topic while taking real-life examples, which not only helps in understanding the topic but also makes the student industry ready. Moreover, I help with career counselling and transition towards Data Product Manager, DS, Quant and ML/AI engineer.

Hammad

5.0

(2)

I am a Graphics Designer and web developer with over 5 years of experience, I have worked with more than 200 clients around the world and created more than 2000 designs, and designed more than 15 websites. I am a man of knowledge that can change and build your future not just by helping you in your studies but also with life and helping your businesses and Jobs to grow and how to work with the market. I will do my best to make you run with society and lead to the future.

Sarah

5.0

(2)

6 Python Programming Sessions of 1 hour each:

Session 1: Basics
Python Data Types and Variables:
Operators and Expressions.
Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else.

Session 2:
Using Loops:
The while, while-else.
For loop;
Jump statements: break, continue;
Nesting loops.

Session 3:
Working with variables and its scope;
Conversion and casting types in Python.

Session 4: Python Built-in functions
Maths Functions.
Random Functions.

Session 5: Strings Functions.

Ibrahim

5.0

(2)

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.

Yedija

5.0

(2)

Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel.

What You'll Learn:

Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib.
Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises.
Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning.
Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch.
Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data.
Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications.
What to Prepare:

Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended.
Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course).
Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples.
What to Expect:

Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests.
Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics.
Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.

Neel

5.0

(2)

Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning.

Course Highlights:

Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code.

Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks.

Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data.

Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance.

Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor.

Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python.

Join us and embark on an exciting journey into the realm of programming and machine learning!

Ali

5.0

(2)

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.

Justine

5.0

(2)

Hello!

I am an engineering student at Centrale Nantes and have been selected for a double degree programme in Computer Science at University College Dublin (UCD), starting in September 2026.

I offer tutoring in Computer Science, Programming, and Artificial Intelligence for secondary school and university students.

Lessons can be adapted to your goals, including:

• Introduction to Programming
• Python Programming
• Algorithms and Problem Solving
• Object-Oriented Programming
• Data Structures
• Computer Science Fundamentals
• Artificial Intelligence and Machine Learning Concepts
• Exam Preparation
• Homework and Project Support

At Centrale Nantes, I have followed advanced courses in Computer Science and Information Systems, developing strong analytical and technical skills.

My teaching approach is structured, practical, and adapted to each student's level. Whether you are preparing for exams, working on a project, or discovering programming for the first time, I will help you build confidence and develop a solid understanding of the subject.

Lessons are available online or in person in Dublin.

5.0

(2)