Instructor-led IT courses across web, mobile, data, design and more.
Almost every development team now uses ChatGPT to write code, explain existing code and track down problems, but the results are still inconsistent, and sometimes the code looks right but does not work. At the same time, organisations want to build LLM…
Containers are now the standard way to ship software, from the developer's laptop and the CI/CD pipeline to Kubernetes in production. Yet many teams still use Docker only to the point where things run. Images end up large, builds are slow, vulnerabilities…
Development teams are expected to ship software faster and more often, so full-stack developers are no longer responsible only for writing code. They need to understand how their code is built, tested and deployed to Kubernetes. The usual problems are code…
Many organisations need developers who can deliver a feature end to end, from the user interface and the API to the database and putting the system into production. Most developers, however, are strong on one side only. When they work across both, they run…
Many vulnerabilities are created during development: weak input validation, secrets embedded in code, excessive permissions or libraries with known flaws. At the same time, AI-related threats such as prompt injection and data leaking through models now affect…
Software developers today are responsible for more than code. They need to understand how their systems run in the cloud, from choosing a service model, designing networks and storage and deploying with code, to security, cost and fixing problems when a…
Development teams now ship software much faster, thanks to modern tooling and AI that helps write code. That speed brings risk: bugs can hide in the code, a change in one place quietly breaks another, and tests written after the fact often miss the behaviour…
Many organisations want mobile apps that run on both Android and iOS from a single team and a single codebase. Flutter has become a leading choice because it performs close to native and lets teams move quickly. Yet developers who are new to it tend to hit…
Most organisations have data spread across many systems: operational databases, daily export files and real-time event data. Meanwhile, business and AI teams need data that is clean, trustworthy and ready to use quickly. The usual problems are pipelines built…
REST APIs are at the heart of enterprise software, connecting web apps, mobile apps, internal systems and external partners. Yet many APIs are built to work rather than to work well over the long term: error formats are inconsistent, there is no clear…
Many organisations no longer want only a system split into small services that scale easily. They also want generative AI inside the system, such as an assistant that answers customer questions, search by meaning across documents, or automatic summaries. The…
As organisations expose more APIs to internal systems, mobile apps and external partners, each service tends to re-implement authentication, rate limiting, logging and data transformation on its own. Standards drift apart and security becomes hard to control.…
Python is the main language for automation, data, AI and backend work in many organisations. Developers who know other languages usually pick Python up quickly but keep writing it the way they wrote their old language, so the code ends up long, hard to read…
Many organisations are putting generative AI into real systems, from summarising documents and categorising requests to answering questions. These systems have to be fast, light on resources and stable under heavy use, which is why Rust is increasingly chosen…
Sales and account teams in service, maintenance and project businesses handle a heavy daily workload: following up service work for customers with many sites, preparing quotations and scopes of work, summarising site survey meetings, answering emails and…
AI coding agents are no longer just tools that complete the next line of code. They behave more like a teammate who reads the whole project, plans, edits many files, runs commands and opens pull requests on their own. Many developers have started using them,…
Many software teams still run into the same problems: overwritten code, lost files, no clear record of who changed what, merges that break the build and a commit history too messy to audit, because members only know basic Git commands without understanding…
AI tools at work are moving from chatbots that answer one question at a time to AI agents that plan multi-step work, use connected files and apps, produce documents, spreadsheets and reports, and run repeating jobs on a schedule, in both ChatGPT and Claude.…
Many organisations already use Claude every day, but the results still depend on who is giving the instructions. Each person has to type long prompts explaining the steps, the document format and the team's standards every single time, so the output is…
Almost every employee can now use AI tools for free, including Claude, ChatGPT, Gemini and Microsoft Copilot. Yet many people still use AI only for general questions, get answers that do not fit the task, rewrite them several times, are unsure which tool…
Many developers already use Claude Code fluently as a coding assistant, one prompt at a time. As the work grows, though, a single agent's context fills up, tasks that could run in parallel are done one after another, and results depend on who writes the best…
Many development teams already use AI to help write code, but mostly for line-by-line completion or questions in a chat window. Codex works as a coding agent: it reads the whole repository, runs commands, edits several files and hands work back as a diff or a…
Many employees already know about AI and have asked it the odd question, yet it has not become part of their everyday work. They are unsure which tasks to start with, what data they may or may not enter, and how far the output can be trusted, so AI gets used…
Many organisations have already switched on Copilot in Microsoft 365, yet plenty of staff ask it a few questions, get a vague answer and go back to working the old way. The problem is rarely the tool. It is not knowing what Copilot can do in each app, how to…
