Instructor-led IT courses across web, mobile, data, design and more.
Most software that runs into trouble after delivery was not left untested; it was tested in the wrong places. Missing or conflicting requirements were not caught early, test cases were written so loosely that nobody else could follow them, and no one could…
This course walks learners the whole way in two days: from never having written code to building a fullstack web application with a database and user accounts, then deploying it to production, all through systematic work with an AI agent. Day one lays the…
Most developers already use AI to help write code, but they use it one question at a time and paste the results in. That captures only part of the value and usually produces code that does not fit the existing structure. Working with AI professionally…
Testing a web application by hand before every release burns an enormous amount of team time, and the bigger the system gets the less of it actually gets covered. The bugs users hit are usually in the paths nobody re-clicked. Playwright is Microsoft…
Next.js has become the standard framework for building enterprise React web applications, and in 2026 it reached version 16 - its biggest change since the arrival of the App Router. Turbopack is now the default bundler for both development and build, Cache…
Many people now look for information by asking ChatGPT, Perplexity, Claude or Gemini, or by reading Google AI Overviews, instead of clicking traditional search results. Websites that AI can read easily and choose to cite have the advantage. This is the…
Go has become a popular choice for backend teams because it compiles to a single binary, runs fast, uses little memory and handles large numbers of concurrent requests well. Fiber is a framework with an Express-like style, so developers who have built APIs…
Angular is the framework many organisations choose for medium to large web applications, thanks to its clear structure and complete built-in tooling. Angular has changed a great deal in recent years, with standalone components replacing NgModules, signals,…
JavaScript today is not only for web pages: it also powers server-side APIs, build tools and large applications. Developers who know the basics often start to struggle as their code grows, with this not holding the value they expect, asynchronous work running…
Gin is a Go web framework widely used by backend teams to build RESTful APIs because it is fast, simple to write and comes with middleware and binding built in. GORM lets you work with a database without writing every line of SQL yourself. Yet many examples…
Vue is a flexible web framework that is easy to learn, and Nuxt builds on Vue to create full-stack apps with file-based routing, server-side rendering and an API in a single project. Paired with Prisma, which gives typed database queries, and Supabase, which…
FastAPI is a popular framework for building APIs in Python because it is concise, fast, validates data automatically from type hints and generates API documentation straight away. At the same time, many organisations keep their core data in Microsoft SQL…
GraphQL lets client applications ask for exactly the data they need in a single call, through one endpoint backed by a strongly typed schema, which makes it a good fit for systems where websites, mobile apps and several services share the same data. On .NET…
Modern applications often have several front ends sharing the same data, such as a website, a mobile app and internal systems. A headless CMS like Strapi lets a team build APIs and a content admin panel quickly without writing the whole back end by hand. In…
Kotlin is officially supported by Spring. It is more concise than Java, safer around null values and runs on the JVM alongside every existing Java library, so many backend teams choose Kotlin with Spring Boot for new services. Yet many examples online still…
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It powers search inside applications, log analytics and vector storage for AI work, while Kibana is used to explore and visualise the data. Both have moved on a long way in…
Elasticsearch is a distributed search and analytics engine widely used both for search inside applications and for storing system logs so they can be investigated later, while Kibana is the interface for exploring that data and building charts and dashboards.…
Web APIs sit at the heart of modern systems, serving single-page web apps, mobile apps, back-office services and integrations between organisations. A well-designed API speaks plain REST, validates data before saving it, reports errors in one consistent…
Modern web applications usually separate the front end from the back end. Angular is Google's framework with a clear structure that suits business systems maintained over the long term, while ASP.NET Core on .NET 10 is a fast, secure back-end platform that…
Full-stack web development today usually separates the frontend from the backend, connects them through an API, and uses Docker so that everyone on the team runs the system the same way, from a developer laptop to the production server. React with Vite is a…
Microservices split a large system into small services by business function, such as users, products, orders and payments. Each service can be developed, deployed and scaled on its own, in exchange for more complex communication between services, data…
NestJS is a server-side Node.js framework that teams use to build enterprise APIs because of its clear module structure, dependency injection and TypeScript. Once past the basics, though, developers often get stuck on what makes real systems hard: poorly…
NestJS is a framework for building server-side applications on Node.js with TypeScript. It organises code clearly into modules, controllers and providers, and uses dependency injection and decorators so that code is easy to read, test and grow in an orderly…
Microservices split a system into several small services, each handling its own work with its own database, and each developed, tested and deployed separately while still working together as one system. This lets several teams work in parallel and scale only…
