you spend more time editing AI outputs than actually doing the work
You'll learn to write prompts using the RTF framework so AI understands the role, format, and expected result on the first try. Fewer revision cycles.
you want to delegate routine tasks to AI, but for various reasons can't rely on a technical team
You'll build an AI workflow for your specific task — document analysis, insight generation, or automation of repetitive actions — without any code, using vibe coding and the approaches from the intensive.
you work with large volumes of information and aren't always confident in the accuracy of AI responses
You'll understand where and why AI makes mistakes. You'll learn to verify outputs using verification and self-checking systems, and to control the depth of responses.
you have an idea for an AI prototype or internal tool but don't know where to start
You'll design and build your own AI workflow or prototype for a real task. You'll leave with a finished capstone that can be immediately adapted for your team or personal project.
you use AI regularly at work, but the quality of results depends on how well the prompt is written on any given day
You'll get a concrete set of techniques: Zero-Shot, Few-Shot, Pattern Teaching, role reversal, and precision prompting. You'll be able to produce quality output consistently, not just occasionally.
the right course
- how LLMs work and why simple prompts often fail to deliver the desired results
- structuring prompts using the RTF framework: role, task, format
- the difference between zero-shot, few-shot, and pattern teaching — and when to use which
- transforming fuzzy queries into structured prompts
- applying prompts to real-world scenarios: data analysis, insight generation, simple automation
- homework: take a weak prompt from your work and turn it into a robust prompt/workflow — with role, task, format, examples, constraints, and expected result.
- where and why AI goes wrong: hallucinations, logical gaps, overconfidence, hidden assumptions
- managing reasoning through chain-of-thought, tree-of-thought, and atom-of-thought
- role reversal and precision prompting to reduce errors
- stress-testing AI outputs and mapping the reasoning structure
- controlling response depth and verifying logic and accuracy
- homework: take an AI-generated response and crash-test it — find unsupported assertions, risks of hallucinations, missing assumptions, and suggest a verification strategy
- what is vibe coding and how to create AI-driven solutions without programming
- where AI can replace code, and where it should only help
- verification, judges and self-checking systems for checking AI-answers
- designing a workflow for a real task and automating routine work
- final capstone task: AI-prototype or workflow for your own work task
- homework: prepare a pre-coding brief for a simple workflow or prototype — target user, problem, workflow, input data, pages/sections, integrations, acceptance criteria.
lecturer
he will be there
Professor of Information Systems Management and Analytics at Warwick Business School, Academic Director of its Gillmore Centre for Financial Technology, and a Turing Fellow at The Alan Turing Institute. With over 100 peer-reviewed articles and nearly 9,000 citations, his research spans AI, FinTech, health informatics, and privacy economics — most recently backed by £1.25 million in funding to establish the FutureFinance.AI Research Group.
His work has delivered tangible impact: portfolio models that make peer-to-peer loans competitive with traditional asset classes, evidence that Health Information Exchanges increase rural hospital referrals by 8%, and privacy research cited in EU policy white papers. As Senior Editor of Information Systems Research and a long-time academic leader, he has also shaped the field's direction on responsible AI and data governance.
tuition cost
and payment options
6 payments
3 payments
for the whole course
*According to the research of the Projector.
The study involved 567 respondents
among graduates of the courses in 2022.
any questions?
we've got answers.
- Is this intensive right for me if I've never written a prompt?
- do I need a technical background or coding knowledge?
- how much time does the intensive take?
- will there be hands-on assignments?
- what should I prepare before the start?
реєстрація.
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Want to ask something else? Email to hello@prjctr.com or call +38 067 418-95-78.
Educational services are provided through access to public educational resources on the Internet, including virtual classrooms and an educational platform. The course falls under computer literacy training services within the meaning of clause 197.1.33 of the Tax Code of Ukraine.
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