Beginner AI Course · Week 2 · Monday 7th September

Turn AI into repeatable business systems.

Week 2 moves beyond simple prompting. This session shows beginners how to organise AI work into Projects, build reusable skillsets for repeated tasks, compare tools properly, and apply security checks before anything is used in the business.

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Level Beginner-friendly, assuming no technical background.
Focus Projects, skillsets, workflows, review and safe use.
Date Monday 7 September 2026. Add final time before publishing.
Outcome Leave with a project structure and reusable skillset templates.
What Week 2 solves

Most beginners do not need more tools. They need a system.

The session is built around the point where many people get stuck: they have tried AI, but every task still starts from scratch. Week 2 shows how Projects and skillsets turn AI from a one-off chat into a repeatable working method.

1

Setting up useful Projects

Attendees learn how to group related AI work around a real goal, such as a client process, marketing task, admin workflow or internal training area.

2

Building reusable skillsets

We turn useful prompts into reusable skillsets: task instructions, input rules, output formats, quality checks and escalation points for human review.

3

Keeping control of the process

The session shows where AI can support work, where it should not replace judgement, and how to build review steps into every repeated process.

Practical examples

Quick wins people can use the same day.

The strongest Week 2 sessions are built around realistic tasks, not abstract demonstrations. These examples show how Projects and reusable skillsets can reduce repeated admin without asking staff to become technical experts.

01
Turn rough notes into a clear summary Use AI to organise messy notes into actions, decisions, risks and next steps.
02
Draft emails without sounding robotic Build prompts that preserve tone, context and professional judgement.
03
Improve documents before sending Use AI as a reviewer for clarity, structure, missing information and plain English.
04
Save the task as a reusable skillset Convert one useful prompt into a clear mini-process: what to give the AI, what it should return, and what a person must check before using it.
From one-off prompts to repeatable systems. Week 2 focuses on project spaces, reusable skillsets and review steps that can be used again after the session, rather than one impressive demo that gets forgotten.
Projects and skillsets

The part that makes Week 2 more useful.

Instead of teaching AI as a blank chat box, this session introduces a more structured approach: use Projects to organise a goal, then use skillsets to make repeated tasks consistent.

Projects give AI work a home.

A Project can be used as a focused workspace for a real business area. For example: marketing content, meeting follow-up, customer onboarding, spreadsheet clean-up, training notes or internal procedures.

In the course, attendees will see how to structure a Project so the AI has the right context without mixing unrelated work together.

Client onboarding Marketing planning Meeting follow-up Internal procedures
1
Name the outcomeDefine what the Project is for, who uses it, and what a good result looks like.
2
Add controlled contextDecide which reference notes, examples, policies or templates should guide the AI.
3
Create task threadsSeparate recurring work into focused conversations so outputs stay easier to review and reuse.
4
Review and refineUse human checks to improve the Project over time instead of trusting the first answer.
A
InputsWhat information must the user provide before the AI can do the task properly?
B
InstructionsWhat role, rules, tone, limits and task steps should be followed every time?
C
Output formatShould the result be a table, email, checklist, report, summary or action plan?
D
ChecksWhat must a human review before the result is copied, sent, uploaded or relied on?

Skillsets make good use repeatable.

A skillset is a saved way of doing a task. It can be as simple as a prompt template and checklist, or as developed as a repeatable process for producing a specific type of output.

Attendees will learn how to create a skillset card for common work: summarising notes, drafting client emails, improving documents, preparing social posts or checking spreadsheet logic.

Prompt rules Output template Review checklist Safe-use boundary
Session flow

A stronger structure for the 20 August session.

The page can be published before the final running time is confirmed. Replace the stage labels below with exact timings once the schedule is fixed.

Part 1 Recap and reset

What we learned in Week 1, and why one-off prompting is not enough.

A short recap of the basics, followed by the common Week 2 problem: people know how to ask AI questions, but they do not yet have a repeatable structure for using it at work.

Part 2 Prompt framework

The repeatable prompt and skillset structure.

Attendees learn how to give AI enough context, request the right format, set limits, add review checks, and turn a useful prompt into a reusable skillset.

Part 3 Projects lab

Setting up Projects for real business tasks.

We show how to organise AI work into Projects for marketing, admin, meetings, document review, customer communication, task planning and spreadsheet support.

Part 4 Governance and safe use

Security, privacy, review and approval.

The session closes with a clear checklist for what should not be uploaded, when outputs need verification, and how to keep human responsibility inside every Project and skillset.

Lab 1

Build a Project workspace

Choose a real business area and map the aim, users, useful context, sample files and review boundaries.

Lab 2

Create a skillset card

Turn a repeated task into a reusable instruction set with inputs, steps, output format and human checks.

Lab 3

Test and improve it

Run the same task twice, compare the outputs, tighten the instructions and add a safety checklist.

ProjectsOrganising related chats, files, aims and reference material around a goal.
SkillsetsSaving the method for repeated tasks, so users do not start from scratch.
Review checksChecking accuracy, tone, sensitivity, missing context and safe-use boundaries.
Workflow templatesConnecting Projects, skillsets and approval steps into a practical process.
The aim is controlled adoption. Useful AI means understanding both the benefit and the boundary. The session keeps that balance clear.
By the end of Week 2

Attendees should leave with useful, reusable assets.

The session is designed so people leave with practical material they can reuse, refine and share internally, rather than a list of generic AI tips.

Project setup plan

A simple structure for creating a focused AI workspace around a business goal, task area or internal process.

Reusable skillset template

A repeatable template covering inputs, instructions, output format, examples, review checks and safe-use limits.

Prompt and review checklist

A checklist for giving better instructions, challenging weak answers and spotting when output needs further verification.

Workflow example

A worked example showing how a Project and skillset can support a real admin, marketing, meeting or planning process.

Book Week 2

AI Foundations Week 2: Turning Prompts into Practical Workflows.

For people who understand the basics but want to know how to use AI properly in day-to-day work. The session is suitable for beginners, managers, admin teams and business owners who want to build repeatable Projects, skillsets and safe AI workflows.

Questions

Week 2 FAQ

These answers can be edited once the final venue, time and booking process are confirmed.

Do I need to have attended Week 1?

Week 1 is useful because Week 2 builds on the basic ideas, but the session will include a short recap so beginners can still follow the practical examples.

Do I need technical knowledge?

No. The session is designed for non-technical users. It focuses on practical business tasks, safe use, prompts and workflows rather than coding or complex setup.

Will this cover AI security?

Yes. Week 2 includes a practical security section covering confidential information, sensitive data, output checking and why human review remains important.

What will I leave with?

Attendees should leave with a Project setup plan, a reusable skillset template, a prompt and review checklist, a basic security checklist, and examples of how to turn AI into repeatable daily workflows.

What do you mean by Projects?

Projects are treated as organised workspaces for a specific goal or area of work. For example, a business could have a Project for marketing content, onboarding, internal procedures or meeting follow-up.

What do you mean by skillsets?

A skillset is a repeatable way of using AI for a task. It captures the instructions, required input, preferred output format, examples, checks and limits so the task can be repeated more consistently.

Make AI organised, practical and repeatable.

Week 2 is for people who want to move from experimenting with AI to using it with structure. It introduces Projects, reusable skillsets, workflow templates and review checks so AI can support real work without losing control.

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