Computer Science and ICT for O/L and A/L (Primary and Secondary)

Van 37.2 $ /h

IT is an important context that has to be followed in each school syllabus and to build a strong future ahead.
Regardless your grade, the session will start from the beginning and lead you to be expert
This sessions will be at your comfort zone and
Q and A Sessions are are allocated too

Extra informatie

Need to have an Internet Connection and your Laptop/PC/Computer

Locatie

Online vanuit Verenigd Koninkrijk

Over

Dual Graduate with industry working experience. experienced teacher and lecturer.
Learn Computer Science / IT / ICT staying from home. Additionally, Coding and Software Development training will also be provided.
We prepare students for the Cambridge, Edexcel, AQA, OCR and IB Syllabus

Opleiding

MSc. in IT (Specializing in Cyber Security) - reading
BSc. (Hons.) in Cyber Security & Digital Forensic (UK)
BSc. in Software Engineering (UK)
Successfully completed Cambridge Examinations

Leservaring

Currently working as a Cloud Engineer - Administration / Security

Microsoft AZ104 - Cloud Administrator
Oracle Certified Java Programmer - Software Engineering 06

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

90 minuten

120 minuten

De les wordt gegeven in

Engels

Vaardigheden

Computerwetenschappen

Computer engineering

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

Computer Science / ICT / IT for IB, Edexcel, Cambridge, AQA & OCR Syllabus

41.33 $ /h

Hello, everyone! My name is Kariapper, and I am a Cloud Architect-Azure (Senior Cloud Engineer). In addition to my professional role, I am also passionate about education and helping students achieve their career growth. I have been teaching IT/ICT/Computer Science to students in Grade OL and A/L, covering a wide range of contents.
My goal is not only to impart knowledge but also to make students understand the industry patterns and prepare them for real-world challenges. It brings me great joy to see my students thrive and succeed in their chosen paths. I believe in creating a dynamic learning environment that encourages curiosity, critical thinking, and hands-on experience.
Together, we explore the exciting world of technology and shape the next generation of IT professionals. I am dedicated to empowering my students and equipping them with the skills and knowledge needed for a successful future in the IT industry and passing their exams with a score.

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

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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

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Azure (App Services, Functions, CosmosDB, DevOps)

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

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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

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

Firebase Integration: Auth, Firestore, Cloud Messaging

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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

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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

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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