Graph Example

This is a course that will enable you to build your first Knowledge Graph using TigerGraph. This course will provide you with detailed instructions of developing a Graph solution for a Movie search use case.   The experience gained here can be used to design and build Graph Insights engagement with your customers, suppliers and employees. 


Course Overview:

Develop a Movie Knowledge Graph: Learn to build a Knowledge Base to search for movies using titles, cast, keywords, and genres. This practical application teaches you to create custom queries for an enriched movie-finding experience.

Extend your learning by applying your newfound knowledge in a different context.

Expected Outcomes:

  • Articulate Knowledge Graph Use Cases: Understand and explain the real-world applications of Knowledge Graphs.
  • Design Knowledge Graph Solution Components: Acquire the skills to design and extract data from Knowledge Graph data sources.
  • Build Key Solution Components and Analytics: Develop the essential components of a Knowledge Graph solution, focusing on analytics.
  • Prototype a Graph Analytics Experience: Gain hands-on experience in prototyping graph analytics, solidifying your learning through practical application.

Whether you're a beginner or seeking to expand your knowledge in graph solutions, this course offers a comprehensive learning experience. By the end, you'll be equipped to create and implement effective Knowledge Graphs in TigerGraph, ready to transform the way you engage with data in your business environment. Join us and step into the world of advanced data solutions!


Neena Sathi


Neena Sathi is a principal at Applied AI Institute.  She has 30+ years of experience envisioning, designing, developing and implementing AI solutions associated with enhancing customer experience, back office automation and risk and compliance for many Fortune 100 organizations. She has worked as Director of AI Technologies at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.

Neena has three masters degrees including MBA from leading US universities.  She is Master certified integration architect from IBM and Open Group as well as certified Project management professional (PMP) from Project management institute. She is also certified in many Cloud and Cognitive technologies. She has widely presented and published many papers in AAAI, IEEE, WCF, ECF, IBM Information on Demand, IBM Insight, World of Watson, IBM Developer Works and various academic journals.

Dr. Arvind Sathi



Dr. Arvind Sathi received his Ph.D from Carnegie Mellon under Herb Simon, who is considered to be the father of AI.  He worked at Carnegie Group, an AI startup from Carnegie Mellon University and then moved to KPMG to develop AI systems in Accounting, Telecom, and Media industries.  He has traveled globally and deployed AI applications in US, India, Australia and Europe. 

He has published 4 books in AI and Analytics related topics which are available through Amazon.  He teaches AI courses at graduate level at University of California, Irvine and have 3 patents

Choose a Pricing Option

Learning through Videos


Videos provide you concepts, examples and solution components associated with building a Knowledge Graph solution


Interactive Quiz


As you learn a concept, test your knowledge using interactive quizzes

Hands-on exercises and Homework Assignment


We will assist you design and build a Knowledge Graph solution step by step using a real life use case