Learn languages, AI, and programming with a clear plan and real practice.
Softelyx School runs online courses, live webinars, and structured programs built around practical assignments, feedback loops, and a measurable learning path. Choose a short intensive or a multi-week track and keep momentum with guided study.
Established 2021 • Lessons are delivered online • Materials are provided for educational purposes.
Popular tracks
This month’s learning focus
Languages
English, Chinese, and Arabic with spaced repetition and live speaking practice.
AI literacy
Prompt workflows, evaluation checklists, and responsible use in real projects.
Programming
Hands-on labs, code reviews, and small projects that build a portfolio.
Typical course length is 2–3 weeks, with structured homework, checkpoints, and a short summative assessment at the end.
Clear milestones and weekly reviews.
Live Q&A and actionable feedback.
Established
2021
Learning method
Practice + feedback cycles
Delivery
Small-group sessions
Quality signal
Internal learner satisfaction
What Softelyx School teaches—and how learning stays on track
Softelyx School focuses on skill areas where progress is visible when practice is methodical: languages (English, Chinese, Arabic), AI literacy for day-to-day work, programming fundamentals, and modern digital skills. Each program is designed as a sequence of small units with a clear objective, an applied exercise, and a checkpoint that tells you what to fix next. That sounds unglamorous, but it prevents the common “watched the lessons, forgot everything” cycle.
For language tracks, sessions combine guided speaking, short listening drills, and spaced repetition so vocabulary sticks. For AI and programming tracks, you work through practical tasks: prompt briefs, evaluation rubrics, code labs, and short mini-projects that mirror real workflows. Instructors use a simple formative assessment loop: quick diagnostics early, targeted feedback mid-course, and a lightweight summative assessment at the end of the cohort.
Formats include online courses, live webinars, masterclasses, and intensives. Most lessons run 60–75 minutes, and typical cohorts run 2–3 weeks. Courses are scheduled in published date windows, and each cohort includes a predictable cadence: session → assignment → review → next session.
A learning system built for consistency
The goal is straightforward: keep study time predictable, feedback fast, and progress measurable. These are the components that make the experience feel calm, not chaotic.
Structured programs with checkpoints
Each cohort includes a simple cadence: diagnostic, weekly checkpoints, and a short end-of-course assessment. It keeps the learning path honest and makes it obvious what to revise next.
Formative assessment
Short checks during the cohort to adjust study tactics.
Summative assessment
End-of-track review that closes gaps and sets next steps.
Fast feedback loop
Assignments are reviewed with specific next actions, not generic praise. The feedback is designed to be usable in the next session.
Predictable schedule
Cohorts run on published windows. Most courses are 2–3 weeks, with 60–75 minute lessons and practical homework.
Multiple formats, one standard
Webinars, masterclasses, intensives, and full courses follow the same quality bar: clear objectives, applied practice, and a takeaway you can reuse.
Responsible learning
AI modules include evaluation checklists and guidance on safe, transparent use. Coursework stays within ethical boundaries.
How learning works, step by step
The process is designed to reduce decision fatigue. Each step has a single output, so your time goes into learning, not guessing what to do next.
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01
Pick a track and confirm dates
Choose a course, webinar, masterclass, or intensive. Cohorts are scheduled in defined windows, including a clear start date and session cadence.
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02
Share your goals and baseline
The first step is a short diagnostic and goal alignment. It sets the pacing and makes the feedback more precise.
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03
Attend sessions and complete assignments
Lessons are 60–75 minutes. Homework is practical: speaking prompts, short writing tasks, prompt briefs, code labs, or mini-projects.
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04
Review results and set your next plan
The cohort ends with a recap and a simple next-step plan. Learning is cumulative; the aim is steady progress, not hype.
Client feedback and practical outcomes
Learners often describe progress in unflashy terms: faster recall, fewer avoidable errors, and clearer routines. That’s exactly what a good curriculum should create.
“The weekly checkpoints made the difference. I wasn’t guessing what to revise—I had a short list after each session. The instructor feedback was specific and sometimes blunt, which helped.”
Mila K., Product Analyst, Munich
“The AI webinar did not feel like a sales pitch. We worked through evaluation criteria, edge cases, and how to document prompts. I left with a template I use weekly.”
Jonas P., Operations Lead, Berlin
“In the programming intensive, the labs were short but demanding. The code review notes were practical and pointed out patterns, not just single mistakes. That made my next project smoother.”
Sara L., Junior Developer, Augsburg
Mini case study: Language cohort (English)
Problem: learners could read but hesitated in live conversation. Approach: guided speaking drills, spaced repetition decks, and short role-play prompts twice per week. Outcome: clearer fluency routines and fewer “blank moments” reported during checkpoints.
Case shared by Anna R., Course Lead
Mini case study: AI workflow webinar
Problem: inconsistent prompt quality across teams. Approach: a prompt brief format, evaluation rubric, and documentation checklist. Outcome: a shared baseline and fewer revisions needed before internal reviews.
Case shared by Daniel S., Webinar Instructor
Request enrollment details
Use this form to ask about upcoming cohorts, webinar dates, or which track fits your schedule. Share the course you’re considering and we’ll reply with the next available dates and what to expect week by week.
Office address
Leopoldstraße 250, Schwabing-Freimann, 80807 Munich, GermanyPhone
+49 89 25552480By design, we do not provide financial, career, or professional guarantees. Programs are educational and outcomes vary with practice time and starting level.
FAQ
Clear expectations make learning easier. If something is not covered here, send a message through the form and we will answer directly.
How long is a typical course?
Most cohorts run 2–3 weeks. Individual lessons are usually 60–75 minutes, with practical assignments between sessions. Webinars and masterclasses can be shorter or single-session formats.
Which subjects do you teach?
We cover languages (English, Chinese, Arabic), AI literacy, programming, and practical digital skills. Each track is designed with concrete practice tasks and a clear milestone structure.
Do you provide certificates?
Some cohorts include a completion confirmation based on attendance and assignment submission. It is not a government-issued credential. If you need documentation for an employer, ask in your message and we will clarify what we can provide.
How do webinars differ from courses?
Webinars are focused sessions with a defined topic and Q&A. Courses and programs include a multi-session curriculum, homework, and review checkpoints designed to build skills over time.
How do you handle privacy for form submissions?
We use your contact details to respond to your request and coordinate enrollment. We do not sell personal data. You can read full details in our Privacy Policy, and you can manage cookie choices via the footer preferences link.
Do you guarantee results?
No. Outcomes vary with starting level, practice time, and consistency. Our role is to provide a structured program, clear feedback, and practical tasks—then help you keep a realistic pace.
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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.