Learn structured prompts, quality-control habits, and responsible AI practices — so you can use AI daily for study, job hunting, and early-career work with confidence.
Most AI training teaches chat. We teach workflows — repeatable systems that save hours every week and produce outputs you can actually submit (after verification). You'll learn the CO-STAR prompt structure, quality-control habits, and responsible use guidelines — so you can move faster without cutting corners.
Each workflow is taught with templates, live examples, and step-by-step guides — so you can start using them the same day.
Speed up literature review, synthesise key insights, and generate structured summaries from academic sources.
Draft reports, refine academic writing, create presentation materials, and improve clarity.
Craft tailored CVs, write compelling entry sheets (ES), prepare interview answers, and research companies.
Automate routine tasks, organise information, create templates, and streamline email/chat communication.
Verify AI outputs, fact-check information, edit for originality, and maintain academic integrity.
The structured prompting framework that produces consistent, high-quality outputs.
We teach the CO-STAR prompt structure: Context → Objective → Style → Tone → Audience → Response Format. This framework removes guesswork and produces repeatable results — essential for workflows that save hours every week.
Set the situation, background, or reference material
Define the specific task or outcome you need
Specify writing style (e.g., formal, concise, bullet points)
Set the emotional tone (e.g., professional, friendly)
Identify who will read the output
Request structure (e.g., table, summary, Q&A)
We don't just teach efficiency — we teach safe, ethical, and compliant AI use.
AI is your assistant, not your author. Always review, edit, and add your own thinking.
Example:
Use AI for first drafts, then revise with your own insights and voice.
Never input private data, student IDs, passwords, or confidential information into AI tools.
Example:
Anonymise case studies and remove identifying information before processing.
AI can hallucinate information. Always check sources, dates, and claims independently.
Example:
Cross-reference AI-suggested citations with original academic sources.
Different schools have different rules. Know your policy (Type A–D) and comply accordingly.
Example:
If your university requires AI disclosure, include it in your submission.
Use AI to enhance, not replace, your thinking. Question outputs and apply your own judgement.
Example:
If AI suggests a conclusion, ask yourself: Does this align with my research and reasoning?
Learn AI literacy through our structured books and resources.
In addition to our programmes, we offer Awesome Books — a comprehensive series covering AI literacy, prompt engineering, responsible use, and career preparation. These resources are designed for self-learners, educators, and organisations seeking scalable content.
Explore PublicationThis programme is built for learners who want real results — not just AI theory.
Speed up research, write better reports, and prepare job applications with confidence.
Stand out with AI-enhanced CVs, interview prep, and professional communication.
Use our frameworks and materials to teach AI literacy responsibly.
Scale AI literacy across teams with ready-to-use curricula and governance guidelines.
Join our next cohort or explore self-paced learning via Awesome Books.
