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About us

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 Toronto 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

Building AI Workflows in Production

Building AI Workflows in Production

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)

AI is everywhere in development right now. Coding assistants. Autonomous agents. Background workflows. AI-generated PRs. But most teams are stuck in the same place:

  • Experiments work, production doesn’t.
  • AI writes code faster, but workflows break.
  • Agents generate output, but teams can’t trust or scale it.
  • And governance gets added too late, slowing everything down.

This meetup is for developers and platform teams who want to understand what it actually takes to move from AI experimentation to production-ready workflows. We’ll focus on how teams are redesigning their development workflows to work with AI, not just adding tools on top. That includes how to structure workflows, manage agents, and introduce the right level of control without killing developer velocity. No hype. No tool comparisons. Just a clear look at why most AI workflows fail and what actually works at scale.

You’ll walk away with:

  • - A clear understanding of why most AI workflows break when moving to production
  • - Insight into how AI changes the software development lifecycle, not just coding
  • - A practical model for structuring AI workflows across planning, building, and operations
  • - Examples of how teams are introducing control and consistency without slowing developers down
  • - A mental model for scaling AI usage across teams, not just individual developers

Tech Talk: Self-Hosting Coding Agents: In the Homelab or the Enterprise
Speaker: Dave Ahr, Coder

Tech Talk: Agents Can't Read the Room: Platform Engineering for AI-Native Development
Speaker: Mallory Haigh, PEC

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.

  • Photo of the user
  • Photo of the user
  • Photo of the user
13 attendees

Upcoming events

2

See all
  • Google Agents in Production for Enterprises (Virtual) - Ep 1

    Google Agents in Production for Enterprises (Virtual) - Ep 1

    ·
    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.

    Brought to you by Google Cloud and AICamp, Agents in Production for Enterprises is a global event series designed for organizations ready to move beyond AI experimentation and into production reality. This series brings together Google Cloud engineers, partner architects, and enterprise practitioners to tackle the real-world challenges of building and deploying agentic AI at scale.

    What to Expect:

    • ▶️ Deep-Dive Talk: Strategic insights from Google Cloud engineers and partner architects on enterprise-grade AI architectures
    • 💻 Live Demo: See production-ready agentic AI in action across real enterprise scenarios
    • 🛠️ Hands-On Code Labs: Build and deploy agentic workflows with guided, code-first labs
    • 🤝 Community & Networking: Connect with peers, speakers, and tech leaders solving the same challenges you face

    Venue:
    Virtual, join from anywhere

    More virtual sessions:

    • Aug 20th: NVIDIA Flare Webinar Q3. RSVP
    • Aug 25th: Google Agents in Production for Enterprises (#2). RSVP
    • Sep 2nd: AI Deep Dive with Google Ep 3. RSVP
    • Photo of the user
    • Photo of the user
    7 attendees
  • Building AI Workflows in Production

    Building AI Workflows in Production

    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)

    AI is everywhere in development right now. Coding assistants. Autonomous agents. Background workflows. AI-generated PRs. But most teams are stuck in the same place:

    • Experiments work, production doesn’t.
    • AI writes code faster, but workflows break.
    • Agents generate output, but teams can’t trust or scale it.
    • And governance gets added too late, slowing everything down.

    This meetup is for developers and platform teams who want to understand what it actually takes to move from AI experimentation to production-ready workflows. We’ll focus on how teams are redesigning their development workflows to work with AI, not just adding tools on top. That includes how to structure workflows, manage agents, and introduce the right level of control without killing developer velocity. No hype. No tool comparisons. Just a clear look at why most AI workflows fail and what actually works at scale.

    You’ll walk away with:

    • - A clear understanding of why most AI workflows break when moving to production
    • - Insight into how AI changes the software development lifecycle, not just coding
    • - A practical model for structuring AI workflows across planning, building, and operations
    • - Examples of how teams are introducing control and consistency without slowing developers down
    • - A mental model for scaling AI usage across teams, not just individual developers

    Tech Talk: Self-Hosting Coding Agents: In the Homelab or the Enterprise
    Speaker: Dave Ahr, Coder

    Tech Talk: Agents Can't Read the Room: Platform Engineering for AI-Native Development
    Speaker: Mallory Haigh, PEC

    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.

    • Photo of the user
    • Photo of the user
    • Photo of the user
    13 attendees

Group links

Organizers

Apriln is a Super Organizer

Members

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