Data & AI Learning Experience

This 10-week tailor-made Learning Experience combines training with project support. Improve your capabilities through our customizable training programs in data science, data engineering or machine learning engineering.

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Xccelerated Training Programs

The Xccelerated learning experience is a 10-week program that combines two fulltime weeks of hands-on Bootcamp training with eight weekly return days. The return days consists of half a day additional training and half a day additional training relevant for your Data & AI focus. Additionally, half a day of guided support for your company projects will be included. The structure is very flexible. For example, you can choose two weeks of Bootcamp training followed by eight weekly return days, or two times one week of boot camp followed by three weekly return days, depending on your preference.

Hence, each program consists of 18 training days that can be tailor-made to your needs by selecting training topics that best serve your Data & AI ambitions. Participants learn through a combination of theory, assignments and collaborative hackathons. We emphasize principles and best practices over tools to learn how to think and solve problems in a variety of scenarios.

The Xccelerated program is perfect for

We offer two different training levels to support individual needs. The foundation level covers new topics for graduates and young professionals with <1 year of work experience in the field of data science or software engineering. The professional level builds on existing skills to help experienced Data & AI professionals step up their game through more in-depth topics. Because of our customizable learning experience, you’ll learn what’s relevant for you and your company.

We interview and technically assess each participant before a program begins, as comparable skill-levels are required to ensure an optimum learning experience for everyone — whether it’s on foundation or professional level.

Requirements

  • Foundation requirements: Relevant bachelor or master degree, including statistical knowledge and programming experience (0-1 year generally).
  • Professional requirements: relevant bachelor or master study, proficient programming skills in Python and (for the Data Science or MLE program) hands-on experience with machine learning (1-3 years generally).
  • In-company programs require a minimum of 4 persons.
  • Public programs are pre-designed and are open to employees from different companies when learning objectives and skill-levels are aligned—more details about the schedule below.

Three possible different learning experiences

  • Data Science: Go beyond developing models that only run in local notebooks
  • Data Engineering: Apply software engineering practices in a data-driven environment
  • Machine Learning Engineering: Customized combination of data science- & data engineering program topics

For an overview of all the possible training modules, please download the brochure at top of page

When can you start?

In-company program
Flexible starting dates, you can choose any module, date in consultation, price on request.

Public Program
For which we have made a selection of modules for a Data Science / Machine Learning Engineering program.
The next Program will start in February 2021 and will include the following dates:

  • February 1-5 (Bootcamp week)
  • February 9, 16 & 23 (Return Days)
  • March 1-5 (Bootcamp Week)
  • March 9, 16 & 23 (Return Days)

Some more details

  • No official certification, but an extensive, tailor-made learning experience that combines learning with project support on your own Data & AI projects.
  • After a 10-week program, another learning experience can be designed - or a more in-depth version on a professional level after completing the foundation modules.
  • Location: remote, your company’s office or at the Xccelerated office in Amsterdam (Sarphatistraat 640-642)
  • Price on request for public program (minimum of 4 people - special price on request for 7-10 participants)
  • In-company: flexible start date
  • Public program: see brochure
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