Course Overview

Elevate your data management skills with our "Knowledge Graph using Neo4j and LLM" course, perfect for building your first Neo4j application. This course offers a hands-on approach to developing a Graph solution for movie search, a skillset that can be extended to enhance engagements with customers, suppliers, and employees through Graph Insights.

Course Highlights:

  • Articulating Graph Use Cases: Understand the practical applications and benefits of Graph technology in various scenarios.
  • Designing Graph Solution Components: Learn the fundamental building blocks of creating effective Graph solutions.
  • Data Uploading Techniques: Master the process of importing data from CSV files into your Graph database.
  • Performing Queries: Gain proficiency in querying your Graph database to extract meaningful insights.
  • Visualization with Bloom: Discover how to bring your data to life visually, making it easier to interpret and present.

By the end of this course, you will have a solid foundation in Graph technology, specifically using Neo4j and LLM, and the confidence to apply these skills in real-world scenarios. Whether you’re a beginner or looking to enhance your existing knowledge, this course is an invaluable resource for anyone interested in the cutting-edge field of Graph databases and their applications. Join us to start your journey in transforming data into actionable insights.

This is a course that will enable you to your first application using Neo4j. This course will provide you with detailed instructions of developing a Graph solution for Movie search.   The experience gained here can be used to design and build Graph Insights engagement with your customers, suppliers and employees. 

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 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 Graph solution step by step using a real life use case