Instructor-led IT courses across web, mobile, data, design and more.
Many organisations want to use LLMs on internal documents, customer data or source code, but the rules say that data must not leave for an outside provider. The answer is to run open-weight models on the organisation's own machines or servers. Once a team…
LLM applications, from chatbots and RAG systems to AI agents that call tools on their own, are moving into real business systems. Their weaknesses are unlike those of ordinary web applications. Plain text in an email or a document can instruct the model to do…
Generative AI work in organisations today goes well beyond calling a language model API. Teams that build chatbots, document summarisers or search over internal knowledge need to understand everything from machine learning basics, tokenisation and…
Building a generative AI chatbot prototype takes a few hours, but taking the same application into production in an organisation is another matter. Development teams have to decide which model to use, what each request costs, whether answers cite the right…
When an organisation turns on Microsoft 365 Copilot and agents, one thing changes immediately: every file a user is allowed to open becomes material Copilot can draw on in its answers. If SharePoint and Teams permissions are shared too widely, if there are no…
Many executives and team leads are asked how their organisation should use generative AI, but the information they receive is often scattered: some of it is so technical it is hard to follow, and some is so driven by hype that it is hard to act on. Leaders…
Many organisations already use generative AI on AWS, from chatbots that answer questions from internal documents to coding assistants and automatic summaries. Yet many of the people who make decisions about these systems, or work alongside them, are still…
Building a chatbot prototype on a language model takes very little time, but taking AI apps and agents into real use across an organisation is another matter. Development teams have to choose the right models and services for each task, bring in…
AI is now part of almost every team's work, from chatbots that answer customers and document summaries to meeting transcripts and automatic invoice reading. Yet many people are still unsure which kind of AI suits each task, how the models actually work and…
Architects, engineers, contractors and quantity surveyors spend a great deal of time on documents: reading tender terms of reference, writing specifications, preparing and checking bills of quantities, comparing quotations and writing progress reports. This…
UX and UI work now has to move faster at every step, from synthesising user interviews to producing prototypes that let the team and clients see the idea. AI tools can draft surveys, cluster insights, generate screens from a description and build clickable…
Many master's and doctoral students, lecturers and researchers have started using AI to help with literature searches and writing. The problems that come up most often are AI producing references that do not exist, summaries that misstate the original paper,…
Hospital staff spend a great deal of time on work that is not direct patient care: letters, memos, meeting minutes, appointments, duty rosters, quality documents and answering questions from service users. Generative AI can reduce the time this paperwork…
Project managers spend a large share of their time on paperwork: drafting project charters, breaking down work, keeping risk registers, writing up meetings and producing weekly status reports, which leaves less time for decisions and for looking after people.…
Many organisations have already opened AI tools to their staff, yet real use tends to stay with a handful of people, while most employees do not know where to start, worry about data security, or tried once, got poor results and gave up. A single training…
Teachers and lecturers spend a great deal of time preparing lesson plans, making materials, setting tests, marking and handling administration, leaving less time for their students. Generative AI tools such as Gemini, ChatGPT, NotebookLM and Canva AI can…
Public sector work involves a large volume of documents that are produced again and again: official letters, internal memos, meeting minutes, performance reports and replies to citizens. Generative AI tools such as ChatGPT, Gemini, Copilot and NotebookLM can…
Architects and interior designers spend a great deal of time producing images to communicate ideas to clients, from the first sketch and mood board to renders that tie up a workstation for hours. Early in a project, though, clients usually want to see several…
Chat-based AI assistants answer questions well, but they still wait for us to open the app and type a request every time. Routine work such as summarising the morning's email, reminding us of appointments, following news on topics we care about or tidying the…
Ready-made AI image tools are easy to use, but when results have to match real work, such as product images that must keep their exact shape, a campaign set that needs one consistent style, or large volumes of images produced automatically, teams soon hit…
Sound is a key part of today's content: voice-over in short videos, company podcasts, announcements, training materials and music for ads. Hiring voice talent, booking a studio or licensing music every time costs both time and money. AI audio tools can…
Slides and infographics take up a surprising share of the working week: boiling long reports down to the key points, laying pages out neatly in the corporate style, and drawing diagrams an audience can grasp in seconds. The latest AI tools can produce a whole…
Short video has become the main medium for marketing and internal communication, yet every shoot needs a crew, a location and a budget. The latest AI video tools let small teams create ads, animated product shots and explainer videos from text and still…
Marketing teams produce more images every year: social ads, web banners, product shots in many settings and campaign assets that must launch in several sizes at once. AI image tools make drafts and finished images far faster, but without a systematic approach…
