Certification, Education & Training
TigerGraph strives to deliver a best-in-class training experience, ensuring our customers’ success and building a certified global user community that’s proud to share their TigerGraph achievements
TigerGraph certifications showcase your knowledge working with our graph database, graph algorithms, GSQL, and other related skills.
Becoming a TigerGraph Certified Associate demonstrates your knowledge and skills using graph databases and GSQL programming to design schemas, load data, and run queries, as well as advanced usage of accumulators and deep-link analysis.
Description: This introductory course is designed for people who are new to graph databases and graph-based analytics. There are four modules designed to take you from a graph newbie to being fluent in the concepts, capabilities, and use cases of a native parallel graph database.
Prerequisite: None
Time: 100 minutes
Format: Interactive videos with knowledge checks
Description: This course provides the basics of programming in GSQL and enables you to create and use TigerGraph’s graph database and analytics solution.
Prerequisite: None
Time: 40 minutes
Format: Interactive videos with knowledge checks
Description: As a TigerGraph Certified Associate, you would have demonstrated knowledge and skills using graph databases and GSQL programming to design schemas, load data, and run queries, as well as advanced usage of accumulators and deep-link analysis.
Registration Fee: Free
Prerequisite: Graph Fundamentals and GSQL 101
Time: 60 minutes
Passing Score: 80
Format: Online test
Becoming certified in TigerGraph Graph Algorithms for Machine Learning demonstrates you’ve gained advanced knowledge and skills in using graph algorithms like shortest path, centrality, community detection, similarity, and classification for analyzing connected data, and conducting machine learning to gain deeper insights from the data.
Description: Graph algorithms are used every day for machine learning and AI – from every web search, where the PageRank algorithm is used; to community detection algorithms used for finding fraud and money laundering, and similarity algorithms for finding similar patients and customers. The course covers five categories of graph algorithms and how they improve the accuracy of machine learning algorithms for a variety of use cases, including fraud detection, recommendation engine, entity resolution, customer 360, and knowledge graph.
Prerequisite: None
Time: 6 hours
Format: Interactive video content with Knowledge checks
Description: As a TigerGraph Certified Professional in Graph Algorithms for Machine Learning, you would have demonstrated advanced knowledge and skills using graph algorithms, such as shortest path, centrality, community detection, similarity, and classification for analyzing.
Registration Fee: Free
Prerequisite: Graph Algorithms for Machine Learning Course
Time: 60 minutes
Passing Score: 80
Format: Online test
The Certified TigerGraph Certified Associate Exam and Graph Algorithms for Machine Learning Exam are available to anyone who feels prepared to attempt them. Any prerequisites to assess your knowledge are mentioned in the description for the exams. Also, there is self-learning content associated with each exam to prepare from.
TigerGraph certifications are available for free.
Both Certified TigerGraph Certified Associate Exam and Graph Algorithms for Machine Learning certifications are valid for two years. After which, you will have to re-take the updated certification exam. This time period is set considering the product updates and version changes.
You have three attempts to pass the exam, after which you can re-register to get another three attempts to clear the exam.
Yes, you will need to create an account in TigerGraph University to access the exams and access additional learning resources.
TigerGraph certifications and training are part of our global customer success program. Our Customer Success Team is here to build relationships, inspire curiosity, and empower our customers and partners to solve complex problems, thereby enabling adoption and growth. Please email us with any additional questions.