Hands-on demo of how top engineers use knowledge graphs to enhance RAG.

Go beyond vectors—see how knowledge graphs boost reasoning and accuracy.

Watch step-by-step RAG pipeline creation with Neo4j, OpenAI, and LangChain.

Combine vectors and knowledge graphs for more precise and context-rich answers.

Learn from Shelby Cohen, who has software engineering experience at ServiceNow, Twitter, and Intuit.
AI/ML architect with 10+ years at Amazon, FICO, and more, delivering scalable, data-driven systems.
Expert in building distributed architectures for finance, e-commerce, insurance, and healthcare.
Specializes in end-to-end ML systems—from predictive models to NLP and risk detection.
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Real practice with FAANG engineers.
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Get 50% of your tuition refunded if no job is secured.
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Hands-on session on how to evaluate, select, and apply LLMs for real-world use cases.
Practical Skill Development: Step-by-step experience building a graph-enhanced RAG pipeline.
Insider Insights: Learn from Shelby Cohen’s engineering experience at ServiceNow, Twitter, and Intuit.
25,000+ Professionals Trained
₹23 LPA Average Hike
600+ MAANG+ Instructors
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Join 25,000+ tech professionals who’ve accelerated their careers with cutting-edge AI skills
25,000+ Professionals Trained
₹23 LPA Average Hike 60% Average Hike
600+ MAANG+ Instructors
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