- Prompt Engineering
- Development Environment
- Generative AI
- Semantic Web
- Graph Theory
- Systems Integration
- LLM Application
- Query Languages
- Unstructured Data
- Large Language Modeling
- Artificial Intelligence
- Data Visualization Software
AI Enhancement with Knowledge Graphs - Mastering RAG Systems
Completed by Ojan Arefi-Anbarani
August 4, 2025
5 hours (approximately)
Ojan Arefi-Anbarani's account is verified. Coursera certifies their successful completion of AI Enhancement with Knowledge Graphs - Mastering RAG Systems
What you will learn
Build and query advanced Knowledge Graphs using Neo4j for practical applications.
Integrate Knowledge Graphs with RAG workflows to improve AI system performance.
Create vector indexes and embeddings for enhanced data retrieval and contextualization.
Design end-to-end RAG-powered Knowledge Graphs, from data extraction to AI application.
Skills you will gain
