Community AI Workshop
The free workshop is on 18 November, from 10:00 to 12:00, at Riverside Library.
It welcomes beginners. Bring your own laptop.
Places are limited to 20 people. Please register by 12 November.
Fictional example · not a real event AN INDEPENDENT GLOBAL LEARNING INITIATIVEGo beyond
Go beyond
the AI answer.
Understand how AI works.
Learn to question, test, and build.
A place for curious people to turn AI possibilities into practical understanding. Start where you are. Learn at your own pace.
Free to explore No account needed All backgrounds welcome
A LITTLE CURIOSITY GOES A LONG WAY
?“It sounds right.
But is it supported?”
But is it supported?”
THE DeTLeng APPROACH
Curiosity,
meet capability.
01 Ask a better question
02 Look for the evidence
03 Make something useful
Understanding you
can demonstrate.
can demonstrate.
Learn the thinking. Then try the doing.
8 modules24 sections96 lessons planned
One working demo to begin MORE THAN BETTER PROMPTSUnderstand the systems
Understand the systems
behind the screen.
AI is part of a bigger picture. Learn to follow the whole journey—from a question to a result you can check.
Use AI with
your eyes open.
An answer can be useful. Understanding why it works—and where it might fail—is a skill you can take anywhere.
Meet the DeTLeng approach01Model behavior
Why answers change, how context matters, and when a confident answer needs checking.
02Agents, tools & retrieval
How assistants find information, choose tools, and pass work between steps.
03APIs, cloud & access
How connected apps exchange information, manage permissions, and sometimes fail.
04Performance & costs
Why requests take time, use resources, and involve trade-offs.
05Investigation & explanation
How to test an idea, describe the evidence, and help someone understand the next step.
A SIMPLE WAY TO GO DEEPERFrom “What if?”
From “What if?”
to “Here’s what I learned.”
No fixed timetable. No locked path. A repeatable way to turn each small question into useful understanding.
01 / DISCOVER
Start with a useful question.
What would you like AI to help you do? Choose one everyday task and write down what a good result would look like.
Example: “Can AI help me turn these notes into a clear summary?”
LESS SCROLLING. A LITTLE DOING.A good answer sounds right.
A good answer sounds right.
A checked answer has evidence.
Try a short learning demo. Read a source, check an AI-style summary, and choose what to do next.
YOUR MISSION
What did the summary miss?
This fictional workshop note is your source of truth. A summary should keep the details someone needs to act.
Clear. Confident.
Complete?
“Join a free, beginner-friendly AI workshop at Riverside Library on 18 November, 10:00–12:00. Bring your laptop.”
Would this give a visitor everything they need?
A MORE COMPLETE SUMMARY
Join the free beginner AI workshop at Riverside Library on 18 November, 10:00–12:00. Bring a laptop. There are 20 places; register by 12 November.
Take it with you: Check dates, conditions, and missing details against the source. A fluent answer can still be incomplete.
Explore the related lesson: Grounding Answers in Evidence In this example, the missing details are visible. It does not tell us why a real AI system might omit them.
A MAP FOR YOUR CURIOSITYEight modules.
Eight modules.
Many ways to begin.
Start with the basics or explore a topic you already use. The full curriculum is mapped out; individual lessons are being prepared.
View the complete curriculumM01 / 08
LLM Foundations
Understand model behavior, prompts, context limits and output quality.
3 sections · 12 lessons planned
M02 / 08
Agents & Retrieval
Understand tool-using assistants, document search, retrieval and agent failures.
3 sections · 12 lessons planned
M03 / 08
APIs & Cloud
Read web requests, diagnose integrations and understand cloud service behavior.
3 sections · 12 lessons planned
M04 / 08
Security & Privacy
Protect user data and test access boundaries using safe simulated cases.
3 sections · 12 lessons planned
M05 / 08
Inference & Costs
Understand the journey from request to output, performance trade-offs and budgets.
3 sections · 12 lessons planned
M06 / 08
AI Operations
Investigate failures, interpret evidence and keep AI-powered applications reliable.
3 sections · 12 lessons planned
M07 / 08
Explanation & Collaboration
Communicate AI systems clearly and support responsible adoption and teamwork.
3 sections · 12 lessons planned
M08 / 08
Applied AI Building
Use AI coding assistants to specify, build, test and improve practical digital tools.
3 sections · 12 lessons planned
The map is ready. The lessons are on their way. You can explore all 96 lesson titles and objectives now. Lesson theory, labs, flashcards, and quizzes will be added after review.
BUILD UNDERSTANDING. KEEP THE EVIDENCE.A small project.
A small project.
A real step forward.
Progress is more than finishing a page. It is being able to explain what you tried, what you checked, and what you would improve.
Over time, these notes can become a portfolio of useful work—whether you want to teach, create, improve a process, or explore a new direction.
What could your evidence look like?EXAMPLE LEARNING NOTESIMULATED
A better summary,
with fewer assumptions.
- My question
- Did the summary keep every important condition?
- What I checked
- I compared the dates and conditions with the source.
- What I found
- The summary left out the registration deadline.
- My next step
- Ask for dates and conditions, then check the result again.
Observations first. Conclusions second.
BRING YOUR CURIOSITYYou don’t need to arrive
You don’t need to arrive
as an AI expert.
Your experience is a starting point. A degree, a particular job title, or a coding background is not required to begin exploring.
New to AI?
Build confidence one idea at a time. Begin with familiar questions and clear explanations.
Start with LLM FoundationsAlready using AI?
Go deeper into the systems behind your tools. Explore reliability, access, and connected workflows.
Explore Agents & RetrievalReady to build?
Turn a clear human need into a small prototype. Test it and explain what you learned.
Explore Applied AI BuildingLearn with curiosity. Act with purpose. Make room for rest, reflection, and respectful feedback.
A FEW HELPFUL ANSWERS
Before you begin.
A clear picture of what is here today—and what comes next.
Is this free to explore?
Yes. The Phase 1 website, curriculum directory, and homepage demo are free to explore. You do not need an account.
Are all 96 lessons available?
The complete curriculum map is available. Individual lessons are being prepared. Each lesson page clearly shows its Coming Soon status.
Do I need to know how to code?
No. You can begin with AI concepts and everyday examples. More technical topics are there when you want to explore them.
Is the demo connected to a real AI model?
No. It uses fixed, fictional examples in your browser. It is a simulation designed to help you practise checking evidence. No live AI request is made.
Will I receive a qualification or a job?
This is an independent learning initiative. It does not promise an accredited qualification, certification, job placement, or income. The aim is practical understanding you can explain and demonstrate.
What is planned for later?
Reviewed lesson theory, browser-based labs, flashcards, and quizzes. Accounts, saved progress, AI Mentor, and live AI chat are future possibilities, not active features.
YOUR NEXT STEP CAN BE SMALLOne question.
One question.
A little practice. A new possibility.
Explore freely. Learn thoughtfully. Show what you understand.
Find your starting point