BUG.BUSTERSBUG.BUSTERS
SYS.OPERATIONAL
DATA.HARVESTING: ACTIVECOLLECTE.DONNÉES: ACTIVE
AI.CORE: ONLINE
SECTOR: CPG/E-COMMERCESECTEUR: CPG/E-COMMERCE
UPTIME: 99.97%

> TRAININGS // AI ENABLEMENT

AI Trainings

Six trainings and one collaborative event to move from spectacle to practice. Each module is anchored in real engagements, delivered in French or English, in person in Montreal or virtual. The format is adaptable to the group's level and sector.

Why now

Generative AI is no longer about impressive demonstrations. It is changing how teams produce content, run operations, build their tools, and serve their customers. The question is no longer whether it lands in your organization, but how it integrates with method.

The catalog

MOD_01

Generative AI for Images and Video

A complete tour of the models and platforms available today: Nano Banana Pro, Seedream, Midjourney, VEO, Sora, Seedance, Runway, along with orchestration platforms like Weavy and Replicate.

What you walk away with
  • Advanced prompting techniques for image and video
  • A method for maintaining brand consistency at scale
  • Clear guardrails on legal considerations and copyright
  • A mapping of use cases applicable to your context

Target audience: Creative, marketing, content, and production teams

MOD_02

Vibe coding

Build tools, prototypes, and applications without a traditional development team. A session that demystifies the AI-assisted development approach.

What you walk away with
  • A method for framing the need and defining scope
  • How to pick the right tooling and working environment
  • Decision criteria for build vs. buy
  • A live demo on a real-world case

Prerequisite: No prior programming experience required

MOD_03

Install, manage, and use your own agent (OpenClaw and Hermes)

For teams that want to deploy their own AI agents while keeping control over infrastructure and data.

What you walk away with
  • A working understanding of the MCP protocol and its role in the ecosystem
  • Demonstration of local and hybrid architectures
  • Governance standards for responsible deployment
  • A monitoring and maintenance method over time

Target audience: Technical teams, operations leads, IT managers

MOD_04

AI for e-commerce

Use cases drawn from real mandates with Canadian and Quebec brands. A session anchored in the operational reality of the sector.

What you walk away with
  • Methods for producing product content at scale
  • AI-assisted advertising optimization approaches
  • Frameworks to augment customer service
  • Data analysis and consumer insight extraction
  • A scoring grid to prioritize AI investments

Target audience: E-commerce teams, marketing leadership, CPG brand founders

MOD_05

AI for social media management

Content production, AI-assisted editorial planning, brand-aligned visual generation, social listening, and performance analysis. The session covers workflows that scale, not just demos.

What you walk away with
  • AI-assisted social content production workflows
  • A method to generate visuals consistent with your brand
  • Social listening and competitive intelligence approaches
  • Performance measurement and iteration frameworks

Target audience: Community managers, social media teams, agencies

MOD_06

AI for work (Claude Cowork)

Leverage Claude daily to transform knowledge work. A session oriented toward real adoption, not just demonstration.

What you walk away with
  • Mastery of in-depth analysis on complex documents
  • Methods for professional, structured writing
  • Automation of repetitive knowledge tasks
  • Using Projects, Artifacts, and Cowork to orchestrate files and tasks

Target audience: Content, strategy, and management teams, and anyone whose work relies on written output

EVENT

The Lab

Not a training. An event. Think hackathon, think LAN party, spread across several weeks with a group that wants to build for real.

What you walk away with
  • A working project, shipped together
  • Source code and artifacts in hand
  • Hands-on experience building with other operators
  • A published open-source result, accessible to all

The principle is simple: the group convenes, collectively picks a concrete problem, and builds the solution together. A product, a tool, a prototype — whatever the form, as long as it works at the end. The project combines artificial intelligence and, depending on what the group decides at framing, hardware components: sensors, connected objects, custom devices.

Example projects

  • Specialized AI assistant. An assistant built for a specific sector, with a custom knowledge base.
  • Automatic document analysis. A tool that extracts, classifies, and synthesizes information across large file collections.
  • Connected object paired with an AI model. A physical device that talks to a language model to act on its environment.
  • Agent-powered dashboard. An interface that aggregates and presents real-time data via autonomous agents.

The group decides. The group builds. The group delivers. The final result is published as open source, accessible to all.

What it requires

The format demands commitment. Each participant:

  • Brings their own Claude Code or OpenAI Codex license
  • Brings their own computing hardware
  • Covers their own token, API, and credit costs
  • Participates in the group agreement on hardware costs, where applicable

In exchange, everyone leaves with a shipped project, code in hand, and the experience of having built it alongside others.

Format and delivery

Language
French or English, depending on the group composition and preference.
Location
In person in Montreal and across Quebec, or virtual via Meet, Zoom, or Teams.
Group size
Ideally 8 to 20 participants per training.
Duration
Half-day (three hours) per training. Combinable into multi-session tracks or full days.
Deliverable
Each training produces a concrete deliverable in presentation form, adapted to the sector and the group's level.
Follow-up
30-day post-delivery follow-up included in every engagement.
The Lab
Separate calendar, defined with the group at framing.

Next steps

Every engagement starts with a no-commitment conversation to make sure the content, format, and level match the group's needs precisely.

  1. Discussion. Initial framing of objectives and context.
  2. Adaptation. Tuning the content to the sector and the group's level.
  3. Format choice. Selecting the trainings and the delivery format.
  4. Delivery. Facilitation, deliverables, and post-training follow-up.

Want to scope a training for your team? Start the conversation →

← Back to HUBBVEE