Advanced Full Stack Developer Course

Lesson 1 • Development Environment Mastery

Configures professional-grade local environments using containers and version managers. Eliminates environment drift as a source of bugs.

Lesson 2 • Data Modeling Fundamentals

Introduces relational and document data modeling with normalisation principles. Shapes how students design schemas throughout the course.

Lesson 3 • How the Web Actually Works

Covers DNS resolution, TCP/IP, HTTP/HTTPS request-response cycles, and status codes. Anchors all subsequent frontend-backend interaction concepts.

Lesson 1 • Accessibility and Internationalisation

Integrates ARIA, keyboard navigation, and i18n patterns into component design. Ensures products reach the widest possible audience.

Lesson 2 • Frontend Performance Optimisation

Applies code splitting, lazy loading, and rendering strategies to hit Core Web Vitals targets. Directly impacts user retention and search ranking.

Lesson 3 • Styling Systems and Responsive Design

Implements design tokens, utility-first CSS, and CSS-in-JS for scalable styling. Connects visual consistency to maintainable codebases.

Lesson 4 • State Management Strategies

Covers local, lifted, context, and external store patterns with selection criteria. Prevents over-engineering and under-engineering state solutions.

Lesson 1 • Middleware and Request Pipeline

Constructs composable middleware chains for logging, rate limiting, and request transformation. Separates cross-cutting concerns from business logic.

Lesson 2 • Input Validation and Error Handling

Implements schema-based validation, structured error responses, and global error middleware. Prevents malformed data from corrupting application state.

Lesson 3 • GraphQL API Development

Builds schema-first GraphQL APIs with resolvers, dataloaders, and subscriptions. Addresses N+1 problems and real-time data needs.

Lesson 4 • RESTful API Design Principles

Applies resource naming, HTTP semantics, and HATEOAS to produce intuitive APIs. Establishes conventions used across all backend work in the course.

Lesson 1 • Transactions and Data Integrity

Implements ACID transactions, optimistic locking, and distributed saga patterns. Prevents race conditions and partial-write corruption.

Lesson 2 • NoSQL Data Modeling

Designs document, key-value, and time-series schemas for access-pattern-driven modeling. Complements relational skills for high-scale use cases.

Lesson 3 • ORM Patterns and Pitfalls

Uses ORMs effectively while avoiding N+1 queries, lazy loading traps, and migration drift. Bridges raw SQL knowledge to application-layer data access.

Lesson 4 • Caching Strategies and Layers

Applies in-memory, CDN, and application-level caching with invalidation strategies. Reduces database load and improves response latency.

Lesson 1 • Secrets Management and Encryption

Manages API keys, certificates, and sensitive config using vaults and rotation policies. Eliminates hardcoded credentials from codebases.

Lesson 2 • Security Testing and Auditing

Runs SAST, DAST, and dependency audits as part of the CI pipeline. Shifts security left to catch vulnerabilities before production.

Lesson 3 • Authentication Protocols and Flows

Implements session, JWT, and OAuth2/OIDC flows with secure token storage. Establishes identity as the foundation of all authorisation decisions.

Lesson 4 • Authorisation Models and RBAC

Designs role-based and attribute-based access control with policy enforcement points. Separates authentication from authorisation cleanly.

Lesson 1 • CI/CD Pipeline Design

Builds automated pipelines covering lint, test, build, and deploy stages with branch strategies. Reduces manual release risk and deployment time.

Lesson 2 • Zero-Downtime Deployment Strategies

Implements blue-green, canary, and feature flag deployments with rollback automation. Decouples code deployment from feature release.

Lesson 3 • Containerisation with Docker

Writes optimised Dockerfiles, multi-stage builds, and compose configurations for full stack apps. Enables reproducible builds across all environments.

Lesson 4 • Cloud Infrastructure Fundamentals

Provisions compute, storage, networking, and managed services on a major cloud platform. Connects infrastructure decisions to cost and reliability outcomes.

Lesson 1 • Event-Driven Architecture Design

Models domain events, event schemas, and choreography vs orchestration patterns. Builds loosely coupled systems that evolve independently.

Lesson 2 • Message Queues and Brokers

Integrates message brokers for async task processing, fan-out, and decoupled services. Removes tight coupling between producers and consumers.

Lesson 3 • WebSockets and Server-Sent Events

Implements bidirectional and unidirectional real-time channels with connection management. Enables live features like chat, notifications, and dashboards.

Lesson 1 • Structured Logging and Log Management

Implements structured JSON logging with correlation IDs and centralised aggregation. Transforms logs from noise into actionable diagnostic signals.

Lesson 2 • Horizontal Scaling and Load Balancing

Scales stateless services horizontally with load balancers and auto-scaling policies. Eliminates single points of failure and handles traffic spikes.

Lesson 3 • Metrics and Distributed Tracing

Instruments services with RED metrics and distributed traces using OpenTelemetry. Pinpoints latency sources across multi-service request paths.

Lesson 4 • Incident Response and Reliability Engineering

Defines SLOs, error budgets, and runbooks for systematic incident management. Builds a culture of reliability through blameless postmortems.