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Join us to learn and practice AI, Generative AI, LLMs, ChatGPT, Machine Learning, Deep Learning, MLOps, ML and Data engineering, and Data technology together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over Melbourne area to learn and practice AI tech, through tech talks, workshops, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, GenAI, LLMs, MLOps, Data.

If you’d like to speak at our meetups, co-host your events, or inquire about partnership opportunities, please feel free to reach out to us.
https://www.aicamp.ai

AI Workshop with Neo4j and AWS - knowledge graphs

AI Workshop with Neo4j and AWS - knowledge graphs

level 13 level 13/555 Collins St, level 13 level 13/555 Collins St, Melbourne VIC 3000, Australia, Melbourne, AU

Important Note: Registration on the AICamp event website s required for admission. RSVP on meetup is turned off.

Join Neo4j and AWS experts for a hands-on lab designed for data scientists and engineers who want to build production-ready generative AI applications grounded in connected enterprise data.

In this half-day, in-person workshop, you’ll learn how to combine knowledge graphs with Amazon Bedrock foundation models to build explainable, context-aware AI applications using GraphRAG and agentic AI patterns.

What You Will Learn:
✅ Deploy and explore Neo4j on AWS using best practices
✅ Use Amazon Bedrock foundation models to build graph-grounded GenAI workflows
✅ Implement GraphRAG patterns that combine vector search with connected knowledge graphs
✅ Build and invoke AI agents that reason over structured and unstructured data
✅ Integrate Neo4j vector search and embeddings for semantic and hybrid retrieval
✅ Build and invoke AI agents that reason over structured and unstructured data

Who should attend:
Developers, Builders, Data engineers, Data scientists, and Tech leaders.

Featured Speakers:

  • Darren Wood, Neo4j
  • Arth Purohit, AWS
  • Photo of the user
  • Photo of the user
  • Photo of the user
7 attendees

Upcoming events

2

See all
  • Google AI Deep Dive (Ep 5) - Discriminative (Jev/DiffusionGemma) models

    Google AI Deep Dive (Ep 5) - Discriminative (Jev/DiffusionGemma) models

    ·
    Online
    Online

    Important: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).

    This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.

    The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.

    You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.

    Workshop: Getting started with Discriminative (Jev/DiffusionGemma) models
    Speaker: Christina Lin (Google)

    Venue:
    Virtual, join from anywhere

    More virtual sessions:

    • Dec 4th: AI Deep Dive with Google Ep 6. RSVP
    • Photo of the user
    • Photo of the user
    • Photo of the user
    14 attendees
  • AI Workshop with Neo4j and AWS - knowledge graphs

    AI Workshop with Neo4j and AWS - knowledge graphs

    level 13 level 13/555 Collins St, level 13 level 13/555 Collins St, Melbourne VIC 3000, Australia, Melbourne, AU

    Important Note: Registration on the AICamp event website s required for admission. RSVP on meetup is turned off.

    Join Neo4j and AWS experts for a hands-on lab designed for data scientists and engineers who want to build production-ready generative AI applications grounded in connected enterprise data.

    In this half-day, in-person workshop, you’ll learn how to combine knowledge graphs with Amazon Bedrock foundation models to build explainable, context-aware AI applications using GraphRAG and agentic AI patterns.

    What You Will Learn:
    ✅ Deploy and explore Neo4j on AWS using best practices
    ✅ Use Amazon Bedrock foundation models to build graph-grounded GenAI workflows
    ✅ Implement GraphRAG patterns that combine vector search with connected knowledge graphs
    ✅ Build and invoke AI agents that reason over structured and unstructured data
    ✅ Integrate Neo4j vector search and embeddings for semantic and hybrid retrieval
    ✅ Build and invoke AI agents that reason over structured and unstructured data

    Who should attend:
    Developers, Builders, Data engineers, Data scientists, and Tech leaders.

    Featured Speakers:

    • Darren Wood, Neo4j
    • Arth Purohit, AWS
    • Photo of the user
    • Photo of the user
    • Photo of the user
    7 attendees

Group links

Organizers

kevinl and 1 other are Super Organizers