What you’ll take away.
- Structure a suitable practical task independently.
- Review results against domain-specific criteria.
- Develop a personal study plan for the certification goal.
Your training in detail
- Who is it for?
- Developers with Python experience and an interest in AI applications.
- Prerequisites
- Python, data processing and mathematical foundations; official prerequisites and exam access require separate confirmation.
- Format & planning
- Suggested format: 3 project days plus individual follow-up study. Scope and dates by agreement.
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
Operationalise a problem: define a measurable target and explicit data limitations for a fictional maintenance case.
Develop a data pipeline: build testable processing steps and clearly separate training and evaluation data.
Challenge results: compare against a simple baseline and examine errors by their practical consequences.
Prioritise learning needs: document decisions, unresolved questions and next independent study steps in a project report.
Build a small analysis prototype using synthetic maintenance data and defend its limitations in a technical review.
Exams, licences & credentials
Independent workshop concept, not an official vendor course; no vendor certification included. An external AI CERTs exam is only possible separately after a confirmed offer. No partnership, voucher, eligibility or passing outcome is promised.
Vendor references & review date
Sources checked on 2026-09-23. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, duration, dates, trainer and price are agreed before booking.