IT Academy & Professional Development

Master in-demand tech skills for academic and career success.

Practical Skills Development

Master in-demand technologies through hands-on projects and real-world applications.

GCSE Computer Science

Years 10-11 (Ages 14-16)

Core Focus Areas

  • ✓Programming Fundamentals
  • ✓Computational thinking development
  • ✓Python programming mastery
  • ✓Networks and Security

Key Topics Covered

✓Computational Thinking
✓Data
✓Computers
✓Hardware
✓Security
✓Networks
✓Issues and Impacts
✓Programming

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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A-Level Computer Science

Years 12-13 (Ages 16-18)NEA Project Support

NEA Development Process

Technical Implementation

  • Weekly code reviews
  • Algorithm optimization
  • Testing framework guidance

Project Documentation

  • Technical writing structure
  • Evaluation methodology
  • Professional presentation

Advanced Skill Development

✓Object-oriented design
✓Database normalization
✓Hardware and Virtual Machines
✓Recursive algorithms
✓Encryption methods
✓Boolean Algebra
✓Network protocols
✓AI fundamentals

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Business Analysis

Bridging Business & Technology

Core Methodologies

📋 Requirements Gathering
  • Conducting stakeholder interviews
  • Facilitating workshops
  • Documenting user stories/use cases
  • Prioritization techniques (MoSCoW)
📊 Process Modeling
  • BPMN 2.0 standards
  • As-is vs To-be analysis
  • Swimlane diagrams
  • Value stream mapping
🛠️ Solution Design
  • Feasibility analysis
  • Gap analysis
  • Prototyping (wireframes)
  • Cost-benefit evaluation

Analysis Process Flow

11. Gather Background Info → Industry research, existing docs
22. Identify Stakeholders → RACI matrix creation
33. Discover Objectives → Goal decomposition
44. Evaluate Options → SWOT analysis
55. Scope Definition → In/out of scope boundaries
66. Delivery Plan → Timeline, resources, milestones
Essential Documents
BRD (Business Requirements Document)

Defines project objectives, scope, and high-level needs

Business Case

Justifies initiative with cost-benefit analysis

Stakeholder Management Plan

Identifies key players and engagement strategies

Functional Spec (FSD)

Detailed system behavior requirements

Process Design Doc

Documents new/improved business processes

Deliverables in Action

📑 Sample BRD Structure
  • Business objectives
  • Success metrics
  • Functional requirements
  • Constraints/assumptions
🔄 BPMN Example
  • Start/end events
  • Tasks/sub-processes
  • Gateways (decisions)
  • Message flows
🧑🤝🧑 Stakeholder Matrix
  • Power/interest grid
  • Communication plan
  • Influence mapping

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Foundational Programming Skills

Brain Training for Coders

Core Logic

🔀 Control Flow
  • If/Else - Decision making
  • Switch Cases - Multi-path logic
  • Ternary Ops - Compact conditions
🔄 Repetition
  • For Loops - Counted iterations
  • While Loops - Conditional
  • Recursion - Self-calling

🏗️ OOP Thinking

📦 Objects
  • Classes - Blueprints
  • Properties - Data storage
  • Methods - Behaviors
🧩 Relationships
  • Inheritance - "Is-a"
  • Composition - "Has-a"
  • Polymorphism - Many forms

🧮 FP Thinking

✨ Pure Functions
  • No side effects
  • Same input → Same output
  • Easier testing
📊 Data Transformation
  • map/filter/reduce
  • Immutable data
  • Function chaining

🔍 Data Structures in Action

[] Arrays
  • Fixed-size collections
  • O(1) access by index
  • Use cases: Grids, Lookup tables
{} Hash Tables
  • Key-value pairs
  • O(1) average lookup
  • Use cases: Caching, Databases
🌳 Trees
  • Hierarchical data
  • O(log n) search (balanced)
  • Use cases: Filesystems, DOM

Visual Problem-Solving

📊Flowcharts

Map program logic visually

✍️Pseudocode

Think before coding

🧠Paradigm Comparison

When to use OOP vs FP

🧠 Cognitive Fact

Learning multiple paradigms makes you 2.3x more adaptable as a developer (2023 Stack Overflow Survey).

⚡ FP in Industry

Used in React (Hooks), Spark, and more in the development space.

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Java Programming

Enterprise-Grade Development

Modern Java Stack

🌱 Spring Framework
  • Spring Boot - Rapid app scaffolding
  • Spring MVC - Web application architecture
  • Spring Data JPA - Database integration
  • Spring Security - Auth & authorization
💾 Data Persistence
  • Hibernate - ORM implementation
  • JPA - Standard API for ORM
  • Entity relationships (OneToMany, ManyToOne)
  • QueryDSL for type-safe queries
🧪 Testing
  • JUnit 5 - Unit testing framework
  • Mockito - Test mocking
  • Integration testing
  • Testcontainers for DB tests

Architecture & Projects

🎨 Design Patterns
  • Singleton - Single instance control
  • Repository - Data access abstraction
  • Strategy - Algorithm interchange
  • Observer - Event handling
🔌 Microservices
  • Spring Cloud ecosystem
  • API Gateway pattern
  • Service discovery
  • Distributed tracing
📡 API Development
  • REST - Spring Web MVC
  • GraphQL - Spring GraphQL
  • OpenAPI/Swagger docs
  • gRPC for high-performance

Project Portfolio

🛒 E-Commerce Service
  • Spring Boot + Hibernate
  • REST API with JWT auth
  • Payment gateway integration
📊 Data Processing Pipeline
  • Spring Batch for ETL
  • Multi-threaded processing
  • CSV/Excel data ingestion
🧩 Inventory Microservice
  • Spring Cloud architecture
  • GraphQL interface
  • Docker/Kubernetes deployment

Core Technologies

Java 17+Spring Boot 3Hibernate 6JUnit 5MockitoGraphQLRESTJPADockerMaven/GradleJWTMicroservicesDesign PatternsSpring SecurityKubernetes

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Database Systems

Data Mastery Toolkit

Database Fundamentals

📊 SQL Essentials
  • CRUD Operations - SELECT, INSERT, UPDATE, DELETE
  • Joins - INNER, LEFT/RIGHT OUTER, FULL, CROSS
  • Aggregations - GROUP BY, HAVING, SUM/AVG
  • Advanced Queries - Subqueries, CTEs, Window Functions
🛠️ ORM Frameworks
  • Hibernate - Java ORM with JPA
  • Prisma - TypeScript/Node.js ORM
  • TypeORM - Cross-platform TypeScript
  • Entity Framework - .NET solution

Advanced Data Systems

🔄 NoSQL Patterns
  • Document DBs - MongoDB syntax
  • Key-Value - Redis operations
  • Graph DBs - Neo4j Cypher queries
  • Time-Series - InfluxDB structure
⚡ Performance Optimization
  • Indexing strategies
  • Query execution plans
  • Connection pooling
  • Caching layers
🚚 Data Migration
  • Schema evolution
  • ETL pipelines
  • Zero-downtime deployments

Database Projects

🏪 E-Commerce Database
  • Normalized SQL schema
  • Hibernate entity mapping
  • Complex product search queries
📱 Social Media Analytics
  • MongoDB document design
  • Aggregation pipelines
  • Prisma ORM integration
📈 Financial Data Warehouse
  • Star schema design
  • TypeORM migrations
  • Materialized views

Technology Stack

PostgreSQLMySQLMongoDBSQLiteHibernateJPAPrismaTypeORMRedisNeo4jFlywayLiquibaseWindow FunctionsCTEsACIDCAP Theorem

🆚 SQL vs NoSQL Decision Guide

ScenarioSQLNoSQL
Transaction-heavy apps✅ ACID compliance❌ Eventually consistent
Flexible schema❌ Requires migrations✅ Schema-less
Complex joins✅ Optimized❌ Manual handling
Horizontal scaling❌ Challenging✅ Designed for scale

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Python Programming

Production-Grade Python

Modern Python Stack

🌐 API Development
  • Build FastAPI microservices
  • Containerize with Docker
  • Deploy serverless with AWS Lambda
  • Manage dependencies via Lambda Layers
📊 Data Engineering
  • Pandas for data wrangling
  • NumPy for numerical computing
  • Build ETL pipelines
🧠 AI Foundations
  • Basic models with TensorFlow/Keras
  • Model serving with FastAPI
  • Preprocessing with Scikit-learn

Real-World Projects

⚡ Serverless API
  • Develop FastAPI endpoints
  • Package with Docker
  • Deploy to AWS Lambda
  • Optimize with Lambda Layers
🤖 AI Microservice
  • Train basic TensorFlow model
  • Serve predictions via FastAPI
  • Containerize for cloud deployment
🔧 Automation Toolkit
  • File processing scripts
  • Web scraping utilities
  • Scheduled Lambda functions

Core Technologies

Python 3FastAPIAWS LambdaLambda LayersDockerTensorFlowPandasNumPyScikit-learnMicroservicesServerlessREST APIsETLAutomation

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Node.js Development

Fullstack JavaScript/TypeScript

Technology Stack

🚀 Frameworks
  • Express - Minimalist web framework
  • NestJS - Angular-inspired architecture
  • Next.js - Fullstack React integration
  • Fastify - High-performance alternative
💾 Data Persistence
  • TypeORM - TypeScript ORM
  • Prisma - Next-gen ORM
  • Mongoose - MongoDB ODM
  • Redis - Caching & pub/sub

Architecture Patterns

📡 API Development
  • REST - Resource-based endpoints
  • GraphQL - Apollo Server
  • gRPC - Protocol Buffers
  • WebSockets - Real-time communication
🧩 Microservices
  • Service decomposition
  • Message brokers (RabbitMQ, Kafka)
  • Container orchestration
  • Distributed tracing

Project Portfolio

🛒 E-Commerce API
  • NestJS + TypeORM
  • JWT authentication
  • Stripe payment integration
📊 Analytics Dashboard
  • Next.js API routes
  • Prisma + PostgreSQL
  • Real-time updates
🔐 Auth Microservice
  • OAuth 2.0 implementation
  • Redis session store
  • Dockerized deployment

Core Technologies

Node.jsTypeScriptExpressNestJSNext.jsGraphQLPrismaTypeORMDockerKubernetesJestPostgreSQLMongoDBRedisRabbitMQAWS

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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React Web Development

Full-Stack Ready

Modern Web Stack

⚛️ React Fundamentals
  • Component architecture with Hooks
  • State management using Redux/Context API
  • Performance optimization
⏭️ Next.js Features
  • SSR/SSG with Next.js
  • API routes and middleware
  • File-based routing
🛠️ Build Tools
  • Module bundling with Webpack
  • Monorepo setup (Turborepo/Nx)
  • Containerization using Docker

Production-Grade Projects

📊 Interactive Dashboard
  • Build with Next.js + Tailwind
  • Fetch data via REST/GraphQL
  • Deploy as Docker container
🛒 E-Commerce Store
  • Implement cart with Redux
  • Responsive UI with CSS Grid/Flexbox
  • Payment integration
🔐 Admin Portal
  • Authentication flows
  • CRUD operations via GraphQL
  • Access control

Core Technologies

ReactNext.jsReduxTailwindGraphQLREST APIDockerWebpackHTML5CSS3JavaScriptTypeScriptMonorepoSSRCI/CD

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Swift iOS Development

Native iOS Mastery

iOS Stack

🎨 UI Frameworks
  • UIKit - Programmatic UI
  • SwiftUI - Declarative syntax
  • Custom modifier development
  • Animation (Implicit/Explicit)
💾 Data Management
  • Core Data - Local persistence
  • Realm - Alternative database
  • UserDefaults for light data
  • Keychain for secrets

Project Outcomes

🛒 E-Commerce App
  • Product catalog with filters
  • Cart state management
  • Payment gateway integration
📱 Social Media App
  • Feed with pagination
  • Real-time updates
  • Image upload/compression

Toolbox

XcodeSwiftUIUIKitCore DataCombineAsync/AwaitAlamofireFirebaseFastlaneTestFlightApp Store Connect

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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AI/ML Practical Labs

Code-First Approach

🧑‍🔬 Core Workflows

⚙️ Model Building
  • Python scripting with NumPy/Pandas
  • TensorFlow/Keras for neural networks
  • Train/test splits with Scikit-learn
🔧 MLOps Basics
  • Experiment tracking with MLflow
  • Model versioning with DVC
  • Containerization using Docker

🛠️ Hands-On Projects

🤖 LLM Applications
  • Build RAG pipelines with AWS Bedrock/Vertex AI
  • Fine-tune models with HuggingFace
  • Deploy chatbots using FastAPI
☁️ Cloud AI Tools
  • AutoML with Google Vertex AI
  • Managed training on AWS SageMaker
  • Agentic workflows with LangChain

Tools You'll Use

PythonJupyterTensorFlowPyTorchMLflowDockerAWS SageMakerVertex AIHuggingFaceLangChainNumPyPandasLLMMCPRAGAI AgentA2A

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Cloud Infrastructure

Enterprise Cloud Engineering

Cloud Technology Stack

🅰 AWS Services
  • EC2 - Virtual servers
  • S3 - Object storage
  • Lambda - Serverless functions
  • API Gateway - Managed APIs
  • Cognito - Authentication
  • DynamoDB - NoSQL database
  • RDS PostgreSQL - Managed SQL
ⓐ Azure Services
  • Virtual Machines - IaaS compute
  • Azure AD - Identity management
  • File Storage - Managed file shares
  • Azure Functions - Serverless

Architecture Patterns

☸️ Container Orchestration
  • Kubernetes - Container management
  • Istio - Service mesh introduction
  • Pod/deployment strategies
  • Horizontal auto-scaling
🔄 CI/CD Pipelines
  • GitHub Actions workflows
  • AWS CodePipeline
  • Azure DevOps
  • Infrastructure as Code (Terraform)

Hands-On Labs

📡 Serverless API
  • AWS Lambda + API Gateway
  • Cognito authentication
  • DynamoDB integration
⚖️ Auto-Scaling System
  • EC2 auto-scaling groups
  • Load balancer configuration
  • CloudWatch metrics
🚢 CI/CD Pipeline
  • GitHub Actions to ECS
  • Blue/green deployments
  • Infrastructure as Code

Core Technologies

AWS EC2/S3/LambdaAzure VMsKubernetesIstioTerraformDockerPostgreSQLDynamoDBCognitoAzure ADAPI GatewayGitHub ActionsCodePipelineAzure DevOps

Note: We can adapt the above curriculum to better suit your learning needs - let's discuss and finalize before we begin

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Your Complete Tech Education Pathway

From GCSE Computer Science through A-Level NEA Projects to Professional Development - perfect for Computer Science graduates and career switchers entering IT.

"The ideal pathway for CS students to enhance their degree and professionals transitioning into tech - academic rigor meets industry needs."

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🎓CS Graduates
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👨‍💻Project Portfolio