Softelyx School was created to make online learning feel concrete: clear milestones, applied tasks, and feedback that tells you exactly what to fix next. We teach languages, AI literacy, programming, and practical digital skills through courses, webinars, masterclasses, and short intensives.
How we build courses
Objective
Each session has one output: a skill you can demonstrate, not just recall.
Practice
Applied tasks: speaking prompts, prompt briefs, code labs, and mini-projects.
Feedback
Short notes focused on next actions. This is formative assessment by design.
Programs end with a lightweight summative assessment to close gaps and set a realistic next plan. Materials are provided for educational purposes only, and outcomes vary with practice time and starting level.
Office
Leopoldstraße 250, Schwabing-Freimann, 80807 Munich, Germany
Prefer a direct conversation? Call +49 89 25552480 or email [email protected].
Softelyx School started in 2021 after a pattern became hard to ignore: many online courses were polished, but the learning outcomes were vague. People finished hours of video and still couldn’t speak with confidence, evaluate an AI output, or ship a small programming task without uncertainty. The founders wanted a calmer alternative—short cohorts, explicit checkpoints, and practical work that makes progress visible.
Our mission is straightforward: publish clear learning tracks and run them with the same discipline you’d expect in a good training department. That includes scoped objectives, practice assignments, and an honest feedback loop. For languages we rely on spaced repetition, guided speaking, and short listening drills. For AI literacy we teach prompt documentation, evaluation rubrics, and responsible use. For programming we use labs and code review notes that highlight patterns (naming, structure, testing) rather than one-off mistakes.
The goal is not hype. It is a methodical learning routine that fits into real schedules—and a curriculum you can keep using after the cohort ends.
Every cohort uses a practical diagnostic early on, formative assessment during the cohort, and a short summative assessment at the end. That structure keeps effort pointed in the right direction and makes progress legible.
Diagnostic baseline
A quick starting-point check to set pacing and expectations.
Weekly checkpoints
Small reviews that reduce drift and clarify what to revise.
English, Chinese, and Arabic tracks include guided speaking practice and spaced repetition to keep recall stable.
We teach prompt briefs, evaluation rubrics, and responsible-use rules that hold up in a real workflow review.
Short labs sharpen fundamentals. Review notes focus on patterns: readability, structure, and testing habits that prevent recurring errors.
The format supports feedback cycles and keeps questions answered while the context is still fresh.
Softelyx School is built by instructors who like clear rubrics and measurable practice. The team covers language teaching, AI literacy, and programming—each with a focus on feedback that is concrete enough to act on in the next session.
Language Program Lead (CELTA)
Anna has taught English cohorts for 9 years and designs the speaking-first lesson flow used across our language tracks. She is known for pinpointing the one habit that unlocks faster recall—often a small change in spaced repetition timing. Her specialty is making role-play prompts feel practical rather than theatrical. She keeps a running “error taxonomy” so feedback stays consistent between sessions.
AI Literacy Instructor (M.Sc.)
Daniel has spent 7 years building internal AI workflows for teams and now teaches practical AI literacy with an emphasis on evaluation and documentation. His sessions revolve around prompt briefs, edge-case handling, and a rubric that makes quality measurable. Learners usually remember his rule: write the constraints first, then write the prompt. Outside class, he maintains template libraries that keep cohorts aligned.
Programming Instructor (B.Sc.)
Sara has led hands-on programming labs for 6 years, with a focus on fundamentals that reduce downstream debugging time. She specialises in code review notes that point out recurring patterns: naming, function boundaries, and test coverage gaps. Her cohorts use short, demanding exercises and a checklist-based review. Learners often adopt her habit of writing a tiny test before refactoring.
Learning Operations (CIPD)
Mila coordinates cohort scheduling, materials, and feedback turnaround so the learning loop stays intact. She has 8 years of experience in training operations and is meticulous about cadence: session, assignment, review, next session. She is known for simplifying the admin side without cutting corners on clarity. If a cohort runs smoothly, her work is usually the quiet reason.
Webinar Host (PMP)
Jonas runs live webinars and masterclasses with a clear structure: context, demonstration, short exercise, and Q&A. He has hosted cohort-style sessions for 10 years and keeps discussions grounded in practical constraints. His specialty is translating a topic into a reusable template that survives after the live call. He also sets up pre-session prompts so learners arrive prepared.
Arabic Instructor (MA Linguistics)
Nadia has taught Arabic for 11 years and specialises in building confidence through short, frequent speaking turns. She designs drills that connect vocabulary to real scenarios so recall is not isolated. Learners often mention her clear correction style: specific, kind, and immediately actionable. She keeps materials lightweight and focused on the next conversation you will actually have.
Tell us the subject (English, Chinese, Arabic, AI, programming), your preferred dates, and your baseline level. We will reply with the next available cohort schedule and what to expect week by week.
Disclaimer: All materials are provided for educational purposes only. Instructors and guest experts contribute as educators, and participation does not create an employment, financial, or professional advisory relationship. No outcomes are guaranteed.