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AI Basics for Work and Life
A practical foundation for using AI with clarity and confidence.
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AI43 Courses
From first useful habits to reliable AI systems.
Choose the level that matches your work. Learn in practical PODs, apply every skill, and keep human control.
Courses
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Choose where to begin. Join an open POD or the waiting list.
Active POD
10 Skills for AI
From one-off prompts to a working system.
- 15 core quests + welcome and finale
- Telegram POD · AI coach · real-world practice
Places subject to availability.Cohort language and availability are confirmed in Telegram.
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Advanced AI for Work
Turn complex work into repeatable AI workflows.
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Agent Course
Design agents with clear goals, tools, evaluation, and stop points.
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Open Source & Self-Host
Build your own open-LLM stack—from model selection and private deployment to task routing, evaluation, and efficient daily use.
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How every course is designed
Methodology
Every course combines backward design by Grant Wiggins and Jay McTighe, Merrill’s problem-centred First Principles of Instruction, and the revised Bloom’s taxonomy. We begin with the final outcome—a working product or a concrete piece of work—then build a sequence of real problems that moves the learner from understanding the tools to independently creating, testing, and putting the result into use.
- 01
Outcome first
We define the useful result and the observable evidence that will show it works before choosing lessons or tools.
- 02
Practice on real problems
Learners activate what they know, see an approach demonstrated, apply it with focused feedback, and integrate it into their own context.
- 03
Toward independent creation
Tasks progress from understanding and application to analysis, evaluation, and creation, ending in a product or concrete piece of 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.
Get the practical details on time, tools, missed days, payment, and getting to the end.
Go to FAQAI43
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