RapidMiner Training
Self-Paced Training
RapidMiner Academy is here! Take advantage of our completely free learning platform designed to give you all the content you need to develop and amend your machine learning and data science skills. Study at your own pace, at no cost.
Certification
The RapidMiner Certification program offers role-based certification for different knowledge domains and levels. The first level is “Professional” and the second level is “Master.” All certificates can be earned independent of each other. On completion you are awarded a certification file for framing but more importantly you will receive a badge. Our badges are enriched with meta data following the open badge standard. This means they can be verified and you can share them through business network sites and social media.
There are two ways to prepare for RapidMiner Certification
* Available only as VILT or on the RapidMiner Academy
Live Training
Online
Our partners are offering Virtual Instructor Led Training (VILT) for the courses,
RapidMiner & DataScience: Foundations, RapidMiner & DataScience: Advanced, Text and Web Mining with RapidMiner and RapidMiner Server: Deployment and Web Apps.
Classes consists of 4 hours live online training on one or two consecutive days (4 hrs. each day, for number of days see table below). The live portion is amended by an additional 4 hours of self-study and solving exercises per training day. Depending on your time zone you will receive the live portion in the morning or the afternoon, respectively, so that you are left with the afternoons or the mornings of the next day for completion of the exercises.
4 hr live sessions start at: 10am EST/4pm CET/7:30pm IST
Course fee is $699 per course-day and student**.
Expert courses can be scheduled on demand, and they may be split into two separate days of training or offered at different times of day to accommodate more flexible scheduling needs. You may request more information for expert courses here or click on the Partner Link below for more details.
Delivery Style | Course | Dates | Register | Partner |
|---|---|---|---|---|
2 Day Class | RapidMiner & DataScience: Foundations | Sep 16 & 17 | Register | Lindon Ventures |
2 Day Class | RapidMiner & DataScience: Advanced | Sep 18 & 19 | Register | Lindon Ventures |
1 Day Class | Text Mining with RapidMiner | Oct 7 | Register | Lindon Ventures |
1 Day Class | Web Mining with RapidMiner | Oct 8 | Register | Lindon Ventures |
1 Day Class | Unsupervised Machine Learning with RapidMiner | Oct 9 | Register | Lindon Ventures |
1 Day Class | Expert Machine Learning with RapidMiner | Oct 10 | Register | Lindon Ventures |
1 Day Class | Time Series Analysis with RapidMiner | Oct 14 | Register | Lindon Ventures |
1 Day Class | RapidMiner Server: Deployment & Management | Oct 15 | Register | Lindon Ventures |
1 Day Class | RapidMiner Server: Web Applications | Oct 16 | Register | Lindon Ventures |
Live Training
Classroom
All our education partners are offering private classes to be delivered in your facilities. To enable your staff to do machine learning with RapidMiner Studio we recommend RapidMiner & DataScience: Foundations (RM&DS-F) and RapidMiner & DataScience: Advanced (RM&DS-A) however Expert courses are also available. Please note that the skills and knowledge taught during the ‘RapidMiner & DataScience’ courses are a prerequisite for each of the Expert courses.
Text and Web Mining with RapidMiner – 2 day (T&W-M)
RapidMiner Server: Deployment and Web Apps – 2day (RMS&WA)
Big Data with RapidMiner Radoop – 1 day (Radoop)
Partner | Region | Certified Instructor | Language | ||||
|---|---|---|---|---|---|---|---|
RM&DS-F | RM&DS-A | T&W-M | RMS&WA | Radoop | |||
Lindon Ventures | AMER | 1 | 1 | 1 | 1 | – | ENG / ESP |
KSK Analytics | APAC | 1 | 1 | 1 | – | – | ENG / JPN |
Quandatics | APAC | 3 | 3 | 2 | 2 | 2 | ENG |
Solution Metrics | APAC | 1 | 1 | – | – | – | ENG |
Balazs Barany | EMEA | 1 | 1 | 1 | 1 | – | ENG / GER |
David Hampton | EMEA | 1 | 1 | – | – | – | ENG |
Lufthansa Industry Solutions | EMEA | 3 | 3 | – | – | – | ENG / GER |
Old World Computing UG | EMEA | 2 | 2 | 1 | 1 | – | ENG / GER |