Week-long AI course
Pleasantly AI Week
A practical five-day course for complete beginners. By Friday afternoon, you will understand the language of AI, know how to use it safely, and leave with a personal AI toolkit you can keep using.
Course at a glance
Monday to Friday
Time between morning and afternoon sessions is reserved for resolving issues and answering questions.
HK$12,000
Full week course · 10 places per week
Starts from zero
Monday begins with a plain-English glossary, everyday analogies, and no assumed technical knowledge.
Practical outcomes
Every day creates something useful: prompts, safety rules, workflows, checks, or reusable templates.
Personal capstone
The week ends with a Personal AI Toolkit rather than a technical website or app project.
Aim of the course
The aim is not to turn beginners into developers. It is to help each participant become confident, careful, and independent when using AI for everyday and work tasks.
By the end of the week, AI should feel like a useful assistant they know how to brief, check, and control.
By Friday, participants can...
- Explain common AI terms in plain English.
- Use AI tools for everyday and work tasks without feeling lost.
- Write prompts with context, constraints, tone, and format.
- Improve weak AI answers through follow-up prompts.
- Check AI outputs for mistakes, bias, and made-up facts.
- Use AI safely with documents, emails, planning, research, and admin tasks.
- Build repeatable workflows instead of relying on one-off chats.
- Leave with a personal AI playbook, prompt library, and safety charter.
Monday first hour
AI in plain English: glossary and everyday analogies.
The first hour is designed to lower anxiety and give everyone the same language before they start prompting.
AI
Software that can make useful guesses from patterns.
Analogy: A very fast assistant that has read a lot, but still needs supervision.
Model
The trained engine behind an AI tool.
Analogy: The engine inside a car; you use the dashboard, not the engine directly.
Prompt
The instruction or brief you give to AI.
Analogy: A short brief you give to an assistant before they start work.
Output
The answer AI gives back.
Analogy: A first draft that needs checking, not a finished truth.
Training data
Examples the model learned from before you used it.
Analogy: Practice material before an exam.
Large Language Model
AI that predicts and generates language.
Analogy: Autocomplete with a much bigger memory for language patterns.
Generative AI
AI that creates text, images, plans, ideas, or code.
Analogy: A kitchen that can suggest recipes from ingredients.
Hallucination
A confident AI mistake.
Analogy: Someone giving directions to a street that does not exist.
Context window
How much information AI can keep in mind at once.
Analogy: The size of its notepad.
Tokens
Small chunks of text AI reads and writes.
Analogy: Breaking a sentence into Lego bricks.
Chatbot
The conversation interface you type into.
Analogy: The front desk, not the whole company.
Privacy
Choosing what information is safe to share with AI.
Analogy: Do not hand confidential papers to a stranger in a cafe.
Five-day curriculum
Each day builds from understanding to useful, repeatable AI habits.
The curriculum is designed for people starting from scratch. It moves from vocabulary and safety, through prompting and verification, into workflows and a practical Friday capstone.
Day 1: Monday - AI foundations
Remove fear and confusion by building shared language from scratch.
9:30am-10:30am
AI in plain English: glossary and analogies
- Learn the key terms: AI, model, prompt, output, training data, generative AI, LLM, tokens, context window, chatbot, hallucination, and privacy.
- Use everyday analogies so every participant can explain the terms without jargon.
- Activity: AI or Not AI? Sort examples such as autocomplete, Netflix recommendations, a calculator, Siri, Google Search, ChatGPT, and a microwave timer.
11:30am-12:30pm
Your first AI conversation
- Set up or open an AI tool and learn the basic interface.
- Try simple prompts for planning, explaining, rewriting, and brainstorming.
- Understand why AI is useful, fluent, and sometimes wrong.
2:00pm-3:00pm
Everyday uses at home and work
- Use AI for emails, meal plans, simple research, explanations, checklists, and planning.
- Save useful prompt patterns for reuse.
- Practise turning vague requests into clearer instructions.
4:00pm-5:00pm
Safety basics
- Learn what never to paste into AI tools.
- Understand hallucinations and why important facts need checking.
- Create a first draft of a personal AI safety charter.
Day 2: Tuesday - Prompting with confidence
Move from vague prompts to useful, structured outputs.
9:30am-10:30am
Prompt structure
- Use role, context, constraints, and format to guide AI.
- Compare weak and strong prompts using everyday examples.
- Practise asking for lists, tables, drafts, summaries, and step-by-step explanations.
11:30am-12:30pm
Iteration and critique
- Improve the first answer with follow-up prompts.
- Ask AI to make outputs shorter, clearer, more formal, more local, or more practical.
- Learn to spot assumptions in AI responses.
2:00pm-3:00pm
Tone, audience, and examples
- Adapt outputs for customers, colleagues, family, students, or clients.
- Use examples to show AI what good looks like.
- Build reusable prompt templates for common tasks.
4:00pm-5:00pm
Prompt practice lab
- Bring a real task and write prompts for it.
- Refine the output over several rounds.
- Add the best prompts to a personal prompt library.
Day 3: Wednesday - Documents, research, and verification
Use AI for real information-heavy tasks without blindly trusting it.
9:30am-10:30am
Working with documents
- Summarise long text, emails, newsletters, PDFs, and notes.
- Extract action items, dates, decisions, tables, and follow-up questions.
- Redact sensitive details before uploading or pasting content.
11:30am-12:30pm
Research workflows
- Use AI to structure research rather than replace research.
- Ask for questions to investigate, source lists, and comparison frameworks.
- Understand when to use search, official sources, or professional advice.
2:00pm-3:00pm
Fact-checking and verification
- Check claims against primary or official sources.
- Ask AI to identify uncertainty and possible errors.
- Practise marking AI-generated facts as true, false, or unverified.
4:00pm-5:00pm
Documents and research lab
- Apply the workflow to a sample document or participant-provided non-sensitive task.
- Create a repeatable document summary prompt.
- Add verification steps to the personal AI playbook.
Day 4: Thursday - Workflows and productivity
Turn useful prompts into repeatable systems.
9:30am-10:30am
Repeatable workflows
- Map a common task from input to process to output to review.
- Break large tasks into smaller AI-assisted steps.
- Avoid one giant prompt when a workflow gives better control.
11:30am-12:30pm
Productivity use cases
- Use AI for email drafts, meeting notes, admin tasks, planning, and spreadsheet explanations.
- Create prompt templates for tasks that happen every week.
- Keep human approval for financial, legal, or sensitive commitments.
2:00pm-3:00pm
Custom assistants and projects
- Learn what a custom assistant or project is in beginner-friendly terms.
- Define instructions, tone, examples, boundaries, and safe use rules.
- Draft one simple assistant idea for home, work, or a small business.
4:00pm-5:00pm
Build your AI playbook
- Document tools, favourite prompts, safety rules, and repeatable workflows.
- Choose a Friday capstone idea.
- Prepare the materials needed to complete it.
Day 5: Friday - Capstone and next steps
Leave with one finished practical project and a plan for continued use.
9:30am-10:30am
Choose and scope your capstone
- Pick a practical personal or work use case.
- Define what success looks like by the end of the day.
- Keep the project focused on AI confidence, not technical complexity.
11:30am-12:30pm
Build your Personal AI Toolkit
- Create a prompt library of at least 10 useful prompts.
- Finish a personal AI safety charter.
- Build one repeatable workflow for a real task.
2:00pm-3:00pm
Polish, test, and verify
- Test the workflow with realistic inputs.
- Improve prompts based on the results.
- Add fact-checking, privacy, and review steps.
4:00pm-5:00pm
Share and next steps
- Share what you built and what you will use it for.
- Decide which tools to keep using after the course.
- Leave with a 30-day practice plan.
Friday capstone: Build your Personal AI Toolkit
A practical project for beginners that avoids turning the week into a technical website or app-building course.
Each participant leaves with:
- A prompt library of at least 10 useful prompts.
- A personal AI safety charter.
- One repeatable workflow for a real task.
- A checked and polished AI-assisted output.
- A 30-day practice plan.
Example capstone choices:
- A family planning assistant
- A work email and admin workflow
- A research and fact-checking workflow
- A content calendar and writing assistant
- A small business launch plan
- A customer FAQ and reply-template pack