Knowledge Graph Solutions using Neo4j & LLM
Master Graph Technology to Build Powerful Data Solutions
 
👉 Start learning today and gain a competitive edge in AI!
 
 
Course Overview
Elevate your data management skills with our " Knowledge Graph Solutions using Neo4j & LLM" course, designed to provide a hands-on approach to building your first Neo4j application. This self-paced course equips you with the skills to create a Graph-based solution for a movie search application, a versatile skillset that can be extended to enhance business insights and engagement with customers, suppliers, and employees.
Graph technology has emerged as a powerful tool for managing complex relationships in data, enabling more effective search, discovery, and recommendation capabilities. This course teaches you how to design, build, and query Knowledge Graph solutions using Neo4j and Large Language Models (LLM) to uncover hidden patterns and insights within structured and unstructured data.
Through detailed instructions and practical exercises, you’ll learn how to create and optimize a Graph-based solution from scratch — from importing data and defining relationships to visualizing results with Neo4j Bloom. By the end of the course, you'll have the confidence and skills to implement Graph solutions in real-world business scenarios.
 
Key Learning Objectives
By the end of this course, you will be able to:
✅ Articulate Graph use cases – Identify and define practical applications of Graph technology in business settings.
✅ Design Graph solution components – Develop the core building blocks of an effective Graph solution, including nodes, edges, and relationships.
✅ Import data from CSV files into Neo4j – Learn techniques for uploading and structuring data in a Graph database.
✅ Perform complex Graph queries – Use Cypher, the query language for Neo4j, to extract insights and patterns from your data.
✅ Visualize data using Neo4j Bloom – Create interactive and intuitive data visualizations to support decision-making.
✅ Leverage LLM for enhanced insights – Integrate Large Language Models to uncover deeper relationships and improve search relevance.
 
Who Should Attend
This course is ideal for:
✔️ Data scientists and AI developers working with complex relationship data.
✔️ Business analysts and consultants looking to improve search and recommendation systems.
✔️ IT professionals and solution architects designing Graph-based applications.
✔️ AI strategists exploring advanced data management techniques.
✔️ Product managers and data engineers seeking to implement Graph technology in business solutions.
 
Prerequisites
To enroll in this course, you should have:
Basic understanding of AI and data science concepts.
Familiarity with data structures and relational databases is helpful but not required.
An analytical mindset and a willingness to learn.
 
Expected Outcome
Upon successful completion of the course, you will:
✅ Gain a deep understanding of Knowledge Graph concepts and their business applications.
✅ Be proficient in designing and building Graph solutions using Neo4j.
✅ Develop skills in importing, structuring, and querying data within a Graph database.
✅ Create interactive data visualizations using Neo4j Bloom.
✅ Integrate LLM-driven insights to enhance search and recommendation performance.
✅ Build and deploy a Graph-based movie search application as a practical project.
✅ Earn a recognized certification in Knowledge Graph Solutions from the Applied AI Institute (AAII).