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Certification

TigerGraph offers training and certification courses that address the current lack of learning resources for designing and implementation of graph-based solutions.

Two types of certification are available:

  1. Certified TigerGraph Associate – provides an introduction to graph database and analytics, and an overview of use cases and benefits, and graph query programming.
  2. Graph Algorithms for Machine Learning – covers five categories of graph algorithms and how they improve accuracy of machine learning for a variety of use cases including fraud detection, recommendation engine, entity resolution, customer 360 and knowledge graph.

Become a Certified TigerGraph Associate

Becoming a certified TigerGraph associate is the first step on the learning curve. Not only will this provide you a good understanding of the business benefits and use case cases of graph database and analytics, it will also provide you the basics of programming in GSQL.

How Do I Become Certified?

You will need to complete two training modules and achieve a passing score on the subsequent test:

TigerGraph Fundamentals
This module teaches the business benefits of graph database and analytics and examines a variety of use cases

GSQL Programming 101
This module provides the basics of programming in GSQL, TigerGraph’s graph query language

Graph Fundamentals Step One​

GSQL Programming 101 Step Two

Get Certified on Graph Algorithms for Machine Learning

Graph algorithms are used everyday for machine learning and AI – from every web search, where PageRank algorithm is used to communication detection algorithms used for finding fraud and money laundering and similarity algorithms for finding similar patients and customers.

The course covers 5 categories of graph algorithms and how they improve accuracy of machine learning algorithms for a variety of use cases including fraud detection, recommendation engine, entity resolution, customer 360 and knowledge graph.

How Do I Become Certified?

You will need to review five part series of educational videos, each focused on a specific category of graph algorithm. Following that, you will take the test and achieve a passing score.

Graph Algorithms for Machine Learning