Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 16 Minute(s)
Language
English
Taught by
Aritra Basak
Rating
Course Overview
Learn Neo4j with Python and Cypher, GraphQL, Knowledge Graphs, RDF, Graph Algorithms, LangChain, GraphRAG from Scratch
Welcome to the Complete Graph Databases Course
This course is a complete, beginner to advanced guide to graph databases. You will learn how modern systems use graphs to model complex relationships and how to build real world applications using Neo4j, Python, RDF, knowledge graphs, and GraphRAG.
What You Will Learn
• Understand what graph databases are and how they differ from relational databases
• Learn graph theory concepts like nodes, relationships, directed graphs, cyclic graphs, and DAGs
• Work confidently with Neo4j and write efficient Cypher queries
• Use Python to create pipelines and automate graph data workflows
• Apply graph algorithms such as BFS, DFS, shortest path, and Dijkstra’s algorithm
• Learn RDF, SPARQL, GraphQL, knowledge graphs, RAG Pipelines with LangChain and GraphRAG
Course Highlights
• Beginner friendly explanations with visual learning
• Hands on Neo4j and Python integration
• Real world projects including routing systems and fraud detection
• Coverage of both property graphs and semantic graphs
• Modern AI concepts like knowledge graphs, RAG and GraphRAG
• Practical focus with code and real use cases
Who This Course Is For
• Beginners who want to learn graph databases from scratch
• Software developers and backend engineers
• Data engineers and data scientists
• AI and machine learning engineers interested in knowledge graphs
• Anyone curious about graph based systems and modern data architectures
Why Enroll
Graph databases are increasingly used in areas like recommendation systems, fraud detection, social networks, and AI powered applications. This course gives you a structured learning path with practical skills that you can directly apply to real world problems, projects, and jobs.
By the end of this course, you will have a strong understanding of graph databases and the confidence to work with Neo4j, Python, graph algorithms, RDF, knowledge graphs, and GraphRAG in real world applications.
Enroll now and start mastering graph databases step by step.
Course Content
- 12 section(s)
- 79 lecture(s)
- Section 1 Introduction to Graph Databases
- Section 2 Graph Theory
- Section 3 Graph Databases
- Section 4 Introduction to Neo4j
- Section 5 Basic to Advanced Python Programming
- Section 6 Python with Neo4j
- Section 7 Graph Algorithms
- Section 8 RDF & SPARQL
- Section 9 Introduction to GraphQL
- Section 10 Knowledge Graphs
- Section 11 LangChain and RAG
- Section 12 GraphRAG
What You’ll Learn
- You will understand the fundamentals of graph databases and how they differ from traditional databases., You will learn how to use Neo4j, write Cypher queries, and work with graph data using Python., You will apply graph algorithms like BFS, DFS, and shortest path to solve real-world problems., You will build knowledge graphs and understand RDF, SPARQL, GraphQL, and GraphRAG concepts., You will learn to develop RAG workflows with LangChain.
Skills covered in this course
Reviews
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MMei-Jiuan Juang
I like this course so far. I have took 15 lessons. One thing disappointing is the instructor hand writing the whiteboard takes really long time. Why not prepare slides instead? Watching you handwriting every thing is really inefficient. 50% of time can be saved for every student if you use slides instead.
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AAbhijit Ghosh
Could do better.
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DDebi Sen
I thoroughly enjoy Aritra's teaching style. His clear explanations, visual aids, and use of simple, practical examples make complex topics easy to understand. This course on graph databases was exceptionally well structured and insightful. Highly recommended for anyone looking to deepen their understanding of the subject.
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BBhaswati Guin
Amazing course on graph database
