🥰Save $100 On Tickets To MLOps North 2026 | Nov 5-6 Toronto

6 hours ago

3 min read

Use Ask AI offer code ASKAI100 to save $100 on tickets for two days of technical deep dives, case studies and real-world lessons from the people building AI agents, happening November 5-6, 2026 at RBC WaterPark Place in Toronto. There is no better offer available for AI practitioners than this one.

Quick Summary

Ask AI subscribers can save $100 on tickets to MLOps North: Building with Agents, a two-day summit for AI practitioners in Toronto, using code ASKAI100.

Takes place November 5 and 6, 2026 in downtown Toronto at RBC WaterPark Place, 88 Queens Quay West, an 8-minute walk from Union Station
Covers two themes: 1. Building Agents (the underlying stack) and 2. Building with Agents (what teams ship on top of it)
Tracks include evals and benchmarks, AI sovereignty, agent memory, cost management and ROI, coding agents, and agent deployment and observability
Track leads include Kathryn Hume (Vector Institute), Graham Toppin (TMLS and MLOps World), Suhas Pai (Hudson Labs) and Denys Linkov (Wisedocs)
Over 500 attendees, 80% in senior, lead or leadership roles, with 35+ speakers and no introductory talks
With the Ask AI special code, Standard tickets drop from $399 to $299 CAD and Student, Community and Non-profit tickets from $349 to $249 CAD, plus taxes and fees

Tickets cover both days, all tracks, and meals. Use code ASKAI100 at checkout to claim the Ask AI discount.

Why Attend MLOps North 2026?

Production patterns you can use Monday. Every session is led by a practitioner showing what they actually run in production, including what broke and how they fixed it.

Both sides of the agent stack. Whether you build agent frameworks or build products on top of them, you’ll be in the room with people solving the problem one layer over.

Toronto’s AI community in person. Two days on the waterfront with people from Cohere, Vector Institute, RBC, Shopify, Wealthsimple and the startups in between. Explore and get tickets here.

What’s On The agenda?

The summit is split in two:

Building Agents covers the underlying stack, meaning frameworks, memory, evaluation and orchestration.

Building with Agents covers what teams ship on top of it, including products, workflows and agents in regulated industries.

Each track is curated by an expert lead:

Evals and Benchmarks with Kathryn Hume, VP AI Engineering, Vector Institute. How to test models well and know when it’s time to switch.
AI Sovereignty with Graham Toppin, Founder, TMLS and MLOps World. When it makes sense to run your own AI stack, and when it doesn’t.
Agent Memory Architectures with Suhas Pai, Co-Founder and CTO, Hudson Labs. How to decide what an agent should store, update and forget.
Cost Management and ROI with Denys Linkov, SVP AI and Operations, Wisedocs. Engineers who have tracked down and cut their AI costs.
Recursive Self-Improvement with Suhas Pai. How to make sure AI systems that adjust themselves actually get better, not just better at tests.
Coding Agents and Dev Workflows with Graham Toppin. Using coding agents on large codebases, keeping AI-assisted code secure, and fixing the code review bottleneck.

MLOps North 2026 Venue

The event takes palce at RBC WaterPark Place, 88 Queens Quay West, Toronto.

View on Google Maps.

It’s an 8-minute walk from Union Station (GO Transit, UP Express and subway), and about 15 minutes by cab from Billy Bishop airport.

Use The Ask AI Promo Code to Save $100 at MLOps North 2026

All tickets cover both days including all tracks and meals.

With the Ask AI code:

Standard drops from $399 to $299 CAD
Team drops from $359 to $259 CAD per ticket
Student, Community, & Non-profit tix drop from $349 to $249 CAD

What more needs to be said? If you're an AI practitioner looking to raise your game, this is the place to be, and this is the offer that will get you there. Enter promo code ASKAI00 to get an amazing $100 off tickets.

GET TICKETS

About The Organizer

The Toronto Machine Learning Society (TMLS) is a globally-connected community of AI practitioners and innovators who share lessons, compare progress, and support each other’s professional growth.

Through peer-curated flagship events like the MLOps North (Toronto) and MLOps World (Austin), plus year-round free webinars and video resources, they help AI teams stay grounded in what actually works.

In a space moving as fast as AI, context is everything. Their mission is to help AI practitioners find it.

About Ask AI

Ask AI is an independent nonprofit that has helped students, policymakers, and working professionals navigate the increased adoption of AI at work since 2016. Our volunteers produce interviews, short videos, and free AI Work Guides.

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