Pilot live on EET Academy · Arduino & embedded systems first
Personalized Engineering Learning, Built Around You
EET Personalized Learning AI turns your skills, goals, interests, prerequisites and time into an adaptive, ordered engineering learning path, built only from real Educational Engineering Team courses, with a clear reason and outcome for every step.
The assessment runs on EET Academy (academy.eduengteam.com).
How it works
From a few honest answers to a step-by-step plan you can start today.
- 1
Tell us where you are
A short assessment on EET Academy asks for your goal, current level, what you already know, the result you want, your time window and daily study time, and any project you have in mind.
- 2
We build your learner profile
The planner interprets your answers into a profile: target skill, real starting level, intent (learn a skill, build a project, get a job) and the prerequisites you can skip.
- 3
You get an ordered path
An ordered set of stages, picked only from real EET courses. Each stage says why it is there for you and what you will be able to do after it, sized to fit your time window.
- 4
You start learning
Every stage links straight to the course page on EET Academy, so you go from plan to first lesson without searching a catalog.
What shapes your path
Two learners asking for "Arduino" can get completely different paths. A complete beginner starts with fundamentals and ends with a guided project; an intermediate learner who wants a connected build skips the basics and goes straight to protocols, interrupts and IoT projects.
Skills
What you can already do, so you don't repeat basics.
Goals
Job, project or new skill: each gets a different path shape.
Interests
Connected/IoT builds, sensors, hardware or professional practice.
Prerequisites
Foundations come first; nothing later feels like a jump.
Progress
Paths are sized to your weeks and daily time; progress-aware re-planning is next.
Engineering areas
Live in the pilot
- Arduino
- Embedded systems
Arduino has the deepest coverage today. Requests outside the catalog's coverage are flagged for human review instead of being given an unrelated path.
Expanding to
- ESP32
- IoT
- Electronics
- PCB design
- Industrial automation
- AI for engineers
New areas go live as their courses are added to the approved catalog.
Built on a real course library
Paths come from the Educational Engineering Team catalog on EET Academy, not from generic web content. Every course fact used in a recommendation comes from the course's public page.
- Courses in the current pilot catalog
- 42
- Teaching engineering online since
- 2007
EET's existing audience includes 463,486 Udemy learners and 41.4K YouTube subscribers. These are existing EET learners and followers, not users of this new product.
How the AI is kept honest
- Catalog-only recommendations. The planner can only return course IDs that exist in the approved catalog; anything else is dropped and flagged.
- Structured, validated output. Profiles and paths are schema-validated JSON before they reach a learner.
- Claude as the reasoning layer. The planner integrates Anthropic's Claude to interpret learner profiles and write the why and outcome for each step.
- Always a plan. If no AI model is available, a deterministic rules engine builds the path, so learners are never left without one.
Pilot status
Where we are
Early pilot, started in 2026 and connected to EET Academy. The assessment, learner profiling and ordered paths work end to end today.
What runs today
Paths are generated by the rules engine while Claude API access is being set up; the Claude layer is already integrated and switches on with configuration, no code change.
What's next
More engineering areas in the catalog, progress-aware re-planning, and step-by-step technical help inside each stage.
Who's behind it
EET Personalized Learning AI is a new product from Educational Engineering Team (EET), founded by engineer and educator Ashraf AlMadhoun. EET has taught Arduino, embedded systems, electronics and related engineering topics online since 2007; this product, started in 2026, turns that library into a personal path for each learner.
Ready for a path built around you?
Answer a few questions and get your ordered engineering learning path.