Live schedule: June 2026 (weekly cohorts) Small groups + instructor feedback Established 2021

Learn languages, AI, and digital skills with a clear weekly plan

Korynex School runs online courses, live webinars, and focused intensives in English, Chinese, Arabic, AI fundamentals, programming basics, and practical digital workflows. Sessions are 60–75 minutes, with structured assignments and a predictable cadence.

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Clear expectations: lesson plan, homework rubric, and feedback timeline shared before the cohort starts.

Data-aware: form submissions are used only to respond and manage enrollment.

Next live dates

June 10–26, 2026

Webinar: AI study habits that stick

June 12, 2026 · 18:00–19:15 (CET)

Live

Course cohort: English speaking sprint

June 10–26, 2026 · 3 sessions/week

Cohort

Intensive: Python for automation

June 17–24, 2026 · 6 lessons

Intensive

Program structure you can measure

Each course includes a syllabus, a weekly checkpoint, and a final practical task. Completion is based on submitted work, not time spent online.

English · Chinese · Arabic Online-only, instructor-led 60–75 minute lessons

Founded

2021

Consistent cohorts since launch

Lesson length

60–75

Minutes per live session

Course duration

2–3

Weeks per standard cohort

Delivery

Live

Webinars, masterclasses, intensives

Indicators are based on our published schedules and internal learning operations. Specific outcomes depend on attendance and submitted work.

What Korynex School teaches—and how the learning is structured

The school focuses on practical capability: understanding a concept, applying it in a short task, then revisiting it with correction and a clearer standard. For language cohorts (English, Chinese, Arabic), the work is organized around input, guided output, and targeted error correction. We use spaced repetition for vocabulary and patterned drills for grammar, but the goal is not memorization in isolation—every unit ends with a short speaking or writing deliverable that is scored against a rubric.

For AI and programming tracks, sessions blend explanation with small exercises: prompts that require constraints, basic Python scripts for automation, and lightweight project scaffolds. The curriculum is designed around Bloom’s taxonomy: you start by recognizing and explaining, then you implement and evaluate. You will see summative assessment at the end of a cohort (a capstone task) and formative assessment throughout (checkpoints and annotated feedback). The unglamorous part—iteration—gets built into the schedule so progress is steady rather than frantic.

Weekly plan + checkpoints

Each cohort is split into weekly blocks with a clear checkpoint: a speaking task, a code snippet, or a workflow exercise. The checkpoint forces a minimum standard and reduces “I watched it, so I learned it” false confidence.

Rubrics for submissions
Feedback timeline stated upfront
Make-up guidance for missed sessions

Live instruction

Webinars and cohort sessions are live, so questions get answered in context—especially when a concept is blocking the next step.

Language tracks

English, Chinese, and Arabic cohorts with speaking prompts, listening practice, and error correction focused on the most frequent patterns.

AI & programming basics

Foundations that connect to real tasks: prompt constraints, evaluation checklists, and Python scripts that automate small repetitive work. Expect practical assignments, not just lecture notes.

Skill programs

Structured programs that bundle lessons, practice, and a capstone deliverable—useful for building a repeatable routine.

View courses See upcoming webinars

How enrollment works

The goal is to keep enrollment simple while still matching people to the right cohort. When you request details, we confirm schedule fit, recommend a level where relevant (especially for languages), and share what the first week looks like. You will always see the time commitment and the expected submission format before you decide.

Tell us what you want to study

Choose a course type, a preferred schedule, and the outcome you want: a speaking routine, a portfolio task, or an automation workflow.

Receive the cohort plan

We send the syllabus, session times, and what a typical assignment looks like. For language courses, we may recommend a level after a short intake.

Confirm enrollment

After you confirm, you receive onboarding details and the first week checklist. The checklist is the same for everyone to keep expectations clean.

Learn, practice, submit

Classes run 60–75 minutes. You complete a small task, submit it, and get feedback. That loop is the core of the program.

Client feedback and learning outcomes (examples)

Below are short examples of how cohorts are applied in practice. Outcomes vary by attendance and the quality of submitted work. We avoid inflated promises and focus on what can be verified: completion, deliverables, and clearer benchmarks.

How the school runs

Mini case study: English speaking routine (2-week sprint)

Problem → Approach → Outcome

Problem: A cohort participant needed a repeatable speaking routine, but kept switching materials and never measuring progress.

Approach: We used a fixed prompt set, weekly audio submissions, and error tagging (pronunciation, verb forms, collocations). Feedback was concise: three corrections to drill, one “keep” behavior, and one measurable target for the next recording.

Outcome: 6 submissions delivered over 14 days, plus a final 3-minute talk graded against a rubric. The participant reported a clearer baseline and a stable routine they could keep after the cohort.

Mini case study: Python automation basics (3-week cohort)

Problem → Approach → Outcome

Problem: A participant wanted to reduce repetitive file handling and reporting tasks without jumping into complex tooling.

Approach: We worked through small scripts with clear I/O, then added incremental improvements: argument parsing, basic error handling, and simple CSV generation. The cohort used a “test-first checklist” to avoid brittle code.

Outcome: A working script delivered as the capstone, with a short README and a demonstration run. The participant could explain what each function does and how to extend it—an underrated but crucial skill.

Amina K., Program Coordinator, Berlin

Language cohort (Arabic)

“The most useful part was the correction pattern. Instead of long notes, I got three things to fix and a short drill to repeat. After the second week, I could hear the same mistake before I made it.”

Jon M., Product Support Specialist, Hamburg

AI fundamentals webinar series

“The evaluation checklist changed how I use AI tools. I stopped accepting the first answer and started checking constraints. It felt methodical, not motivational, which is exactly what I needed.”

Lea S., Junior Analyst, Munich

Python intensive

“I liked that the lessons were short and the tasks were concrete. When I got stuck, the instructor debugged the logic with me instead of rewriting it. I can now maintain the script on my own.”

Request enrollment details

Use the form to request cohort dates, pricing, and the syllabus for the program you are considering. We typically respond within 1 business day. We do not sell your data, and we use your message only to answer questions and manage enrollment.

[email protected]

Phone

+49 89 2154 3098

Address

Arnulfstraße 59, Neuhausen-Nymphenburg, 80636 Munich, Germany

Disclaimers

All materials are provided for educational purposes only.
Experts may participate as invited specialists depending on the cohort.
No financial, career, or professional guarantees are offered. Results vary by attendance and practice.

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FAQ

Common questions about schedules, registration, and how materials are used. If you do not see your question here, send a short note in the enrollment form and we will reply by email.

How long are lessons and how often do cohorts meet?

Live lessons are typically 60–75 minutes. Standard cohorts run for 2–3 weeks, usually with 2–3 sessions per week. Webinars and masterclasses are single sessions with a practical handout or checklist.

Do I need prior experience for AI or programming sessions?

Many tracks start from basics and build from there. If a course assumes prior knowledge, it is stated in the cohort plan. When you request details, we can recommend the most sensible starting point based on your goals.

What is included in course materials?

You receive a syllabus, practice tasks, and guidance for the capstone deliverable. Language cohorts include prompt sets and vocabulary review guidance. Technical cohorts include exercises and a checklist for debugging and revision.

How do I register and purchase a course?

Start by sending an enrollment request through the form on this page. We respond with cohort details, pricing, and next steps. This keeps the process consistent and prevents misunderstandings about schedules or prerequisites.

What data do you collect when I use the form?

We collect the fields you submit (name, email, course interest, optional message) and basic technical metadata needed for security and spam prevention. Details are explained in our Privacy Policy, including how to request deletion.

Do you offer guarantees about results?

No. Courses are educational and outcomes vary. We can describe the curriculum, expected time commitment, and the type of deliverables you will produce, but we do not promise financial, career, or professional outcomes.

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Ready for the next cohort?

Send a request and we will email the upcoming dates, course format, and pricing options. If you are unsure which track fits, describe your goal and we will suggest a starting point.

Response time: within 1 business day No data resale

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Prefer email? Write to [email protected].