Technology Course

Lesson 1 • Basic Networking Concepts

Introduces IP addressing, protocols, and network topologies. Prepares students for deeper networking and security content ahead.

Lesson 2 • Core Hardware Components

Covers CPUs, memory, storage, and I/O devices and their functional roles. Builds hardware literacy needed for software and network chapters.

Lesson 3 • What Technology Systems Are

Defines technology as integrated hardware, software, and data layers. Anchors all subsequent chapters in a unified systems perspective.

Lesson 4 • Software Layers and Operating Systems

Explains firmware, OS, middleware, and application layers. Students can map software responsibilities across a full technology stack.

Lesson 1 • Data Types and Structures

Covers primitive types, arrays, lists, trees, and graphs. Establishes the structural vocabulary used throughout data management topics.

Lesson 2 • Relational Database Fundamentals

Teaches tables, keys, normalisation, and SQL basics. Enables students to design and query structured relational databases.

Lesson 3 • Data Governance and Quality

Addresses data ownership, stewardship, accuracy, and lifecycle management. Connects storage decisions to organisational compliance and trust.

Lesson 4 • Data Backup and Recovery

Covers backup strategies, recovery point objectives, and redundancy. Ensures students can protect organisational data against loss.

Lesson 1 • Object-Oriented Programming Concepts

Covers classes, objects, inheritance, and encapsulation. Bridges procedural coding skills to industry-standard OOP design patterns.

Lesson 2 • Version Control with Git

Teaches repositories, commits, branching, and merging workflows. Integrates professional code management into every programming activity.

Lesson 3 • Programming Logic and Syntax

Introduces variables, operators, control flow, and functions. Provides the logical foundation for all subsequent coding activities.

Lesson 4 • Functions and Modular Code

Teaches function definition, parameters, return values, and scope. Students structure reusable, maintainable code modules.

Lesson 1 • OSI and TCP/IP Models

Maps all seven OSI layers and the TCP/IP stack to real network functions. Gives students a diagnostic framework for any network issue.

Lesson 2 • Network Troubleshooting Methods

Applies systematic diagnostic steps using ping, traceroute, and packet capture. Students resolve connectivity issues using structured methodology.

Lesson 3 • Routing and Switching Fundamentals

Covers MAC addressing, VLANs, routing tables, and dynamic routing protocols. Students configure basic routers and switches for network segmentation.

Lesson 4 • DNS, DHCP, and Core Services

Explains name resolution, address assignment, and essential network services. Enables students to deploy and troubleshoot foundational infrastructure services.

Lesson 1 • Incident Response and Recovery

Covers detection, containment, eradication, and post-incident review phases. Students execute a structured response plan to minimise breach impact.

Lesson 2 • Authentication and Access Control

Covers passwords, MFA, role-based access, and least-privilege principles. Students design access policies that minimise unauthorised entry risk.

Lesson 3 • Threat Landscape and Attack Vectors

Catalogues malware, phishing, social engineering, and network attacks. Students recognise attack patterns before applying defensive countermeasures.

Lesson 4 • Encryption and Data Protection

Explains symmetric, asymmetric encryption, TLS, and key management. Students apply encryption to protect data in transit and at rest.

Lesson 1 • Cloud Cost and Performance Optimisation

Applies rightsizing, reserved capacity, and monitoring to reduce cloud spend. Students balance performance targets against budget constraints.

Lesson 2 • Cloud Service Models

Differentiates IaaS, PaaS, and SaaS responsibilities and use cases. Students match service models to organisational workload requirements.

Lesson 3 • Containers and Orchestration

Introduces container images, registries, and orchestration platforms. Students deploy containerised applications with automated scaling and recovery.

Lesson 4 • Cloud Deployment Strategies

Covers public, private, hybrid, and multi-cloud architectures. Students evaluate trade-offs in cost, control, and compliance for each model.

Lesson 1 • Continuous Integration and Delivery

Builds automated build, test, and deployment pipelines. Students eliminate manual handoffs that slow software delivery cycles.

Lesson 2 • Agile and Scrum Methodologies

Covers sprints, backlogs, retrospectives, and Agile ceremonies. Students apply iterative delivery to reduce risk and accelerate feedback.

Lesson 3 • Software Development Lifecycle

Maps requirements, design, coding, testing, and deployment phases. Provides the process framework for all DevOps tooling introduced later.

Lesson 4 • Monitoring, Logging, and Observability

Implements metrics, logs, and traces to maintain system health visibility. Students detect and resolve production issues before users are impacted.

Lesson 1 • Artificial Intelligence and Machine Learning

Covers supervised, unsupervised learning, neural networks, and deployment pipelines. Students assess AI applicability and integration risk for business use cases.

Lesson 2 • Technology Roadmap Development

Applies gap analysis, prioritisation, and stakeholder alignment to build tech roadmaps. Students translate business strategy into actionable technology investment plans.

Lesson 3 • Blockchain and Distributed Ledgers

Covers consensus mechanisms, smart contracts, and enterprise blockchain use cases. Students evaluate when distributed ledger technology adds genuine value.

Lesson 4 • Risk Management for New Technologies

Identifies adoption risks, vendor lock-in, and regulatory exposure for emerging tech. Students apply risk frameworks before committing to new technology investments.