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Reltio Cloud Advanced 102

Interested in Taking this Reltio Course?


This course supports a comprehensive exploration of Reltio cloud features using an implementation use case. Advanced configurators or architects will benefit from the course’s project oriented design.

Our blended learning system that supports both the independent learner who enjoys self-paced interaction and learners who desire some instructor guidance.

Course Prerequisites & Target Audience

Our course increases the knowledge and skills of technical roles like advanced configurators and solution architects. To ensure success, we suggest that individuals prepare by researching or expanding their knowledge in the following areas:

  1. Reltio Cloud Beginner 101 and
  2. Six to twelve months hands on experience with Reltio Cloud

Course Content

Reltio cloud advanced 102 course covers the following topics:

  • Data modeling
  • Reltio architecture deep dive and best practices
  • Data import into Reltio
  • Reference data management
  • Reltio console
  • Match & Survivorship
  • Data export
  • Workflows

Course Expectations

Learners receive access to a personal instance of the Reltio Cloud (application/solution). This “tenant” supports seven comprehensive and interactive learning labs culminating in final project based on business case scenario. The labs allow direct modification of the data model in the Reltio Tenant that mimics workplace requirements of configurators and architects. We continually monitor, check, and guide progress throughout the course by way of practical exercises and graded formative assessments.

After successful participating in the modules, exercises, lab work, and assessments, learners can demonstrate their skills and knowledge through a final theory exam and practicum. We require a grade of at least 80% to receive a certificate of completion.

We provide continuous access to the self-paced video modules for learners to review, refresh, or learn as we grow and maintain our relationship.

The total time commitment is 15 hours, including the Self paced content and labs.