Instructor-led IT courses across web, mobile, data, design and more.
Every organisation produces data every day from many sources: revenue, invoices, receivables, budgets, utility costs for each site, service tickets and contracts stored as PDFs. Finance teams have to close the books and chase receivables, while IT and data…
Many organisations have already experimented with AI, yet a lot of projects never get past the demo, because the people who understand the business problem and the people who can build the system sit on opposite sides. A Forward Deployed Engineer (FDE) closes…
Many employees already use Microsoft 365 Copilot comfortably to draft emails, summarise meetings and write documents. Yet much of the real work in a day is multi-step work that moves between Outlook, Teams, the calendar and Office files, and it is still done…
Many organisations still have data spread across ERP systems, application databases, Excel files and CSV files that must be combined every day for reporting and the data warehouse. This work often starts as scripts or manual copying, which break easily,…
Many business systems keep critical logic in SQL Server: saving orders, deducting stock, calculating commissions and running reports that applications call every day. Stored procedures written without standards often ignore errors and leave data half-written…
Marketing teams, sales teams and business owners have to produce more material every year: social posts, banners, presentations, short videos and product sheets. Most teams still work the old way, designing one piece at a time, resizing by hand and editing…
As organisations build more agents in Copilot Studio, a single agent that handles everything starts to answer outside its scope, pull knowledge from the wrong source and become harder to maintain with every new capability. The answer is to split the work…
Document work in many organisations still relies on people keying in data: invoices, receipts, request forms and customer emails that have to be read and sorted one by one. Many teams already use Power Automate and Power Apps but do not realise that AI…
Power Apps built by a small team often work well until users grow into the hundreds and data into the tens of thousands of records. Then the app opens slowly, searches miss records because of delegation limits, the same formula is copied across many screens…
A desktop flow captured with the recorder works well on day one, but once it runs every day it breaks often. Window titles change, buttons on a web page move, some files will not open, or the flow hangs halfway without anyone noticing. When the organisation…
Many organisations start with Power Automate through small flows built by individual teams. As the number of flows grows and they become part of core work, problems appear. Flows stop when their maker changes jobs, URLs and email addresses are hard-coded into…
The PivotTable is one of the most powerful summarising tools in Excel, yet many users only drag fields into place and total them. When they need to compare with last year, show shares, rank items or combine several tables, they fall back on long formulas or…
Power Query makes data preparation in Power BI easy to start with clicks, but once data comes from many files with different layouts, from APIs or in larger volumes, click-built queries tend to break when a file changes, refresh too slowly or fail to refresh…
Many Power BI reports start quickly, but as data grows the totals stop adding up, slicers fail to filter, dozens of near-identical measures pile up and files become so large that refreshes crawl. Most of these problems are not caused by DAX formulas. They…
Content and digital media teams now have data pouring in from many platforms at once: Facebook, Instagram, YouTube, TikTok, LINE and their own websites. Each platform exports files in a different layout and counts its metrics differently, so most of the time…
Many organisations still run everyday work on Excel, paper or email, such as supply requests, approvals and daily logs, and would like their own staff to build small internal systems. Beginners rarely know where to start, because even a small system has…
Ubuntu 26.04 LTS (Resolute Raccoon) brings some of the deepest changes to Ubuntu Server in years: Linux kernel 7.0, systemd 259, sudo-rs as the default sudo, rust-coreutils, Chrony instead of systemd-timesyncd, OpenSSH 10.2 with post-quantum key exchange, no…
Many organisations still build executive reports by exporting data from an Oracle-based ERP into Excel, then cleaning it, writing formulas, summarising, charting and emailing the result by hand every week. With many tables, dozens of columns each and millions…
Most organisations already run CI/CD, but the pipelines are often written by each team on its own, with no shared standard, no clear code quality criteria and security scans that run only some of the time, while production deployments still depend on a…
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…
