Knowledge Graph

Course Overview

While human brains carries a fair amount of information, we have a natural ability to connect the dots. Today, you can use Google to connect the dots across a large number of web pages. How do you bring this ability to your private and public information and how do you use it for a business application?

This course illustrates Knowledge Graph using a set of use cases. We show different levels of knowledge representation and how they can be used for search, discovery and recommendation.

Expected Outcome

  • Articulate knowledge graph use cases
  • Define relative complexity and  benefits of knowledge graph solution
  • Define Knowledge Graph solution components
  • Design a Knowledge Graph analytics experience

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.

Choose a Pricing Option

Learning through Videos

Videos provide you concepts and examples associated with Knowledge Graph

Interactive Knowledge Checks

As you learn a concept, test your understanding using Interactive Knowledge Checks or quizzes

Final Quiz

We will conduct a final examination to test your knowledge on overall concepts and knowledge associated with Knowledge Graph.