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10 Skills for AI
From one-off prompts to a working system.
AI43 Courses
From first useful habits to reliable AI systems.
Pick the level that fits your work. Practice in a small POD, apply every skill, and keep human control.
Courses
Courses
Choose where to begin. Join an open POD or the waiting list.
Waiting list
AI Basics for Work and Life
Start using AI with clarity and confidence — no jargon.
Waiting list
Advanced AI for Work
Turn complex work into repeatable AI workflows.
Waiting list
Agent Course
Build agents with clear goals — and human control.
Waiting list
Open Source & Self-Host
Run open AI models on infrastructure you control.
How every course is designed
Methodology
Every course starts from the outcome — a working product or a concrete piece of work — and is built backward from it, combining Backward Design (Grant Wiggins and Jay McTighe), Merrill’s problem-centred First Principles of Instruction, and the revised Bloom’s taxonomy. Learners move from understanding the tools to independently creating, testing, and using the result.
- 01
Outcome first
We define the useful result — and the evidence that it works — before choosing lessons or tools.
- 02
Practice on real problems
Learners see an approach demonstrated, apply it with focused feedback, and integrate it into their own context.
- 03
Toward independent creation
Tasks progress from understanding to analysis, evaluation, and creation — ending in work the learner can explain, verify, and improve.
HOW A LESSON WORKS
15–45 minutes of practice, not another lecture.
A quest arrives in Telegram. Apply a new skill to a real task, get feedback, and see what another approach makes possible.
The quest arrives directly in Telegram — no separate learning system.
Bring a live problem from work or life, not a hypothetical exercise.
Your submitted work receives a practical AI-coach review, not a multiple-choice score.
See how people in your POD approach the same kind of task.
Keep moving from your phone when you find a real window of time.
Short quests leave room to absorb the skill and use it again.
AFTER THE COURSE
The cohort ends. Your working method stays.
The resources, peer connection, and evidence of progress are designed to remain useful after the final quest.
Your working library
Keep the prompts, briefs, templates, and materials that became part of your own process.
Alumni community
Stay connected with peers to test new tools and solve fresh work problems together.
A visible before / after
Compare your first and final work so growth is more than a feeling.
Need a little more context?
Read the questions people ask before a POD.
Practical details on time, tools, missed days, payment, and finishing.
Go to FAQAI43
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