Knowledge Graphs For Enterprise Ai A Practical Guide

[Emperor2011]

Knowledge Graphs For Enterprise Ai: A Practical Guide
Published 5/2026
Created by Bashir Ahmed
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 37 Lectures ( 4h 48m ) | Size: 2.62 GB
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Build, query, and integrate knowledge graphs to power real-world AI applications - hands-on with Neo4j, Cypher, and LLMs
What you'll learn
Understand the fundamentals of graph theory and knowledge graph design
Model complex enterprise domains as knowledge graphs
Build and query knowledge graphs using Neo4j and Cypher
Design and apply ontologies and schemas for real-world use cases
Integrate knowledge graphs with Large Language Models (LLMs) for AI agents and RAG pipelines
Apply knowledge graphs to pharma, finance, and enterprise use cases
Deploy and maintain a production-ready knowledge graph solution
Requirements
Basic Python
Familiarity with databases
General awareness of AI/ML concepts
Description
This course contains the use of artificial intelligence to narrate the audios. The reason for this decision - AI narration voice used is better quality than even human voice and the speed of production was much faster! However, the content of the course has been compiled and 100% reviewed by Bashir Ahmed, the creator of this course.
Knowledge Graphs for Enterprise AI: A Practical Guide
Unlock the power behind the world's most intelligent AI systems. Knowledge graphs are the secret infrastructure driving enterprise search, recommendation engines, and next-generation RAG pipelines - and now you can build them too.
In this hands-on course, you'll go from zero to production-ready, learning how to model complex real-world data as connected knowledge, query it with SPARQL and Cypher, and wire it into LLM-powered applications that actually understand context.
Whether you're an AI engineer looking to supercharge your retrieval pipelines, a data architect designing smarter systems, or a developer curious about how companies like Google, Amazon, and Microsoft structure knowledge at scale - this course gives you practical skills you can apply on Monday morning.
What you'll walk away with
A working knowledge graph built from real enterprise data
LLM integrations that use graph context for richer, more accurate answers
Confidence to design and deploy KG-backed AI solutions at work
No PhD required. Just curiosity and a willingness to think in connections. Relational databases no longer enough to power up enterprise AI Agentic solutions, you need knowledge graphs! If you are a solution architect or data engineer or LLM developer, this course is a must, and it can supercharge your career!
Who this course is for
Data engineers, AI architects, enterprise tech leads, developers building AI-powered applications
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