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About us

Join us to learn and practice AI, LLMs, GenAI, Agentic AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

We will regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices.
If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us (info AT aicamp DOT ai)

Upcoming events

2

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  • AI Deep Dive with Google (Ep 1)

    AI Deep Dive with Google (Ep 1)

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    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 Google 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.

    Tech Talk: Wrangling unstructured data with LLM-driven vector embedding
    Speaker: Logan Hennessy (Google)
    Abstract: The real world is big, messy, and full of unstructured data. Web pages, notes, and documents rarely fit into the rigid rows of traditional databases, making classic keyword search brittle and frustrating. To build tools that truly understand user intent, we must move past exact phrase matching and leverage semantic retrieval.
    This webinar walks through how to build a lightweight search system using vector embeddings. We will focus on the mechanics of embedding and retrieval to turn raw, unstructured text into a highly queryable asset.

    Walk away with a clear, practical framework for indexing unstructured data.

    Venue:
    Virtual, join from anywhere

    More virtual sessions:

    • July 29th: AI Deep Dive with Snowflake. RSVP
    • Aug 5th: AI Deep Dive with Google Ep 2. RSVP
    • Sep 2nd: AI Deep Dive with Google Ep 3. RSVP
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    9 attendees
  • Building Multi-Agent Workflows with n8n and Memanto

    Building Multi-Agent Workflows with n8n and Memanto

    Location not specified yet

    Important Register on the event website (Due to room capacity and building security, you must pre-register at the link for admission)

    Venue:
    Spur Innovation Center, 2240 University Ave, Waterloo

    Description:
    Welcome to the AI meetup in Waterloo. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

    Tech Talk: AI Customer Support Multi-Agent with n8n and open-source Memory, Memanto
    Speaker: Majid Fekri, Co-founder & CTO, Moorcheh by Edge AI Innovations
    Abstract: A support agent built in n8n that remembers each user across sessions not just within one conversation. When a message comes in, it pulls that user's full history from Memanto (past issues, preferences, tone) before generating a reply, then stores anything new it learns right after. No more asking users to repeat themselves. The bot knows who they are, what they've asked before, and how they like to be helped, every single time.

    Tech Talk: Beyond Passive Vector DBs: Powering Agents with Memanto's Open-Source Active Memory
    Speaker: Tara Khani, Co-founder & CEO, Moorcheh by Edge AI Innovatio
    Abstract: As AI workflows transition from static RAG to autonomous coding agents (like Cursor and Claude Code), traditional vector databases introduce a catastrophic "RAM Tax" and passive retrieval bottlenecks. This session covers the architecture of Memanto, an open-source active memory agent built on an Information-Theoretic semantic engine. We will break down how to replace passive data ingestion with a three-primitive memory loop (remember, recall, answer) that gives agents persistent, cross-session context. We will demonstrate how Memanto achieves state-of-the-art accuracy on LongMemEval while running entirely on-premise, slashing infrastructure overhead by 90% and scaling to trillions of workloads without indexing delays.

    Speakers/Topics:
    Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

    Sponsors:
    We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Toronto or 500K+ worldwide.

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    7 attendees

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Organizers

April is a Super Organizer

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