Cambridge IGCSE & A Level Computer Science - Coding, Concepts & Exam Practice

Van 23 $ /h

Learn Computer Science through hands-on lessons that cover both theory and programming.
I offer regular lessons to build your understanding of coding (Python/Java) and computer systems, plus exam-focused sessions for IGCSE (0478) and A Level (9618) students.

You’ll learn to:

Understand theory topics like algorithms, logic gates, and networks

Write, test, and debug programs step-by-step

Solve structured past paper questions confidently

Prepare effectively for both Paper 1 (Theory) and Paper 2 (Programming)

Lessons are interactive, practical, and tailored to your school progress and exam goals.

Locatie

Online vanuit Verenigd Koninkrijk

Over

Hi! I’m Mazuba, a dedicated and experienced Cambridge IGCSE and A Level tutor specializing in Physics, Mathematics, and Computer Science. I have been teaching for over 3 years at two well-established schools, supporting students in mastering their school syllabus as well as excelling in Cambridge exams.

My teaching approach is student-centered and practical, focusing on both conceptual understanding and exam skills. I guide students through difficult topics step-by-step, using clear explanations, worked examples, and past paper practice to ensure they feel confident and prepared.

I recently attended a Cambridge Teachers’ Workshop organized by AIEC (African International Education Centre - Zambia Ltd), which strengthened my skills in delivering lessons that are fully aligned with Cambridge standards and exam expectations. This experience enables me to provide students with strategies, tips, and techniques that help them achieve higher grades.

In my lessons, you can expect:

Concept lessons to build a solid understanding of topics

Problem-solving sessions for Mathematics, Physics, and Computer Science

Step-by-step past paper solving to master exam techniques

Homework support and exam revision strategies tailored to your needs

All lessons are conducted online via Zoom or Google Meet, allowing me to teach students across Europe, Africa, and worldwide. I am passionate about making learning enjoyable and effective, helping students build confidence, skills, and academic success.

Whether you are aiming to improve your grades, strengthen weak areas, or prepare for Cambridge exams, I am here to guide you every step of the way.

Opleiding

The Copperbelt University - Bachelor of Science in Physics (2023)
Graduated with a strong foundation in Physics, Mathematics, and related scientific disciplines, equipping me with the knowledge and skills to teach both IGCSE and A Level students effectively.

Cambridge Teachers’ Workshop - African International Education Centre (AIEC), Zambia (2025)
Completed a specialized Cambridge teaching workshop, focused on best practices for delivering lessons aligned with Cambridge IGCSE and A Level syllabuses, exam preparation strategies, and student-centered teaching methods.

This combination of formal education and specialized teacher training allows me to provide students with lessons that are concept-driven, exam-focused, and tailored to individual learning needs.

Leservaring

I have over 3 years of teaching experience, working with Cambridge IGCSE and A Level students in Physics, Mathematics, and Computer Science.
During this time, I have taught at two well-established schools, helping students prepare for both internal assessments and Cambridge final exams.

Recently, I attended a Cambridge Teachers’ Workshop organized by AIEC (African International Education Centre - Zambia Ltd), which enhanced my skills in delivering Cambridge-aligned lessons and effective exam preparation methods.

My teaching approach focuses on:

Building strong conceptual understanding

Step-by-step problem-solving and past paper practice

Supporting students according to their pace and syllabus needs

I have successfully guided students to improved confidence and higher grades through personalized, structured tutoring.

Leeftijd

Kinderen (7-12 jaar oud)

Tieners (13-17 jaar oud)

Volwassenen (18-64 jaar oud)

Senioren (65+ jaar oud)

Niveau van de leerling

Beginner

Gemiddeld

Gevorderden

Duur

60 minuten

De les wordt gegeven in

Engels

Vaardigheden

Computerwetenschappen

Computer programmeren

Beschikbaarheid typische week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Cambridge IGCSE & A Level Physics - Exam Prep & Past Paper Practice

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Learn Physics in a clear and practical way - whether you’re preparing for exams or just need help understanding class topics.
I teach both regular lessons (to strengthen your understanding of key topics) and exam-focused sessions using Cambridge IGCSE (0625) and A Level (9702) past papers.

You’ll learn to:

Understand difficult topics like Forces, Motion, Waves, and Electricity
Apply formulas confidently in problem-solving
Practice past paper questions step-by-step
Develop exam techniques and time management

Each lesson is tailored to your level and pace, with a focus on building both understanding and confidence.

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Cambridge A Level Mathematics - Mechanics & Statistics (Lessons + Exam Practice)

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Gain confidence in Mechanics and Statistics through lessons that combine clear teaching, regular practice, and exam-style questions.
We’ll cover motion, forces, vectors, probability, distributions, and data analysis - all aligned with the Cambridge A Level (9709) syllabus.

Each lesson includes:

Regular concept teaching and homework support

Step-by-step past paper question solving

Simplified explanations of key principles and equations

Tips for interpreting and analyzing data

Ideal for students who want both continuous learning and targeted exam preparation.

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I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

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🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises