AI Training & Events

Your team knows AI exists. They don't know how to use it yet.

RBX Labs runs practical AI training for teams that need more than inspiration. The format depends on how fast you need adoption to show up in the work.

Sessions are workflow-specific and built around what your team needs to do next, not generic AI trends.

Plan a training session See credentials

Credential Practical training backed by institutional delivery

Recognition Intel's Top Innovator Awards By Intel Software Innovator team for two consecutive years.

Recognition Ericsson's L&D Rockstar award Recognized for sustained delivery, habit formation, and team learning outcomes.

Reach 6,000 Attendees trained Delivered across enterprise, student, and founder audiences.

Three ways to train the team

Pick the format based on how much change the team needs, how cross-functional the work is, and whether you need momentum or habit formation.

Workshop

Half-day session for one team

Best for a specific workflow focus such as prompting, evaluation, product discovery, or AI-assisted execution.

Leaves the team with a shared mental model, a concrete workflow map, and immediate next actions.

Sprint

2-3 days for cross-functional teams

Best when product, operations, and leadership need alignment plus something tangible by the end.

Leaves the team with a working prototype, decision framework, and a clearer path to pilot or rollout.

Program

4-8 weeks for adoption and habit formation

Best when the goal is not just exposure to AI, but making it part of how the team actually operates.

Leaves the team with repeatable routines, coaching touchpoints, and usage patterns that stick.

Featured Events & Trainings

Featured curriculum, talks, and sessions that show the RBX Labs training approach in practice.

Training Weeks 1 to 6 live

Featured curriculum

Stanford Code in Place 2026

A banner-style showcase for the Stanford Code in Place learning track, adapted into a clean Week 1 to Week 6 training flow.

The page now gives this program a dedicated training feature instead of a single embed. Learners can jump into Weeks 1 through 6 immediately, with the full path visible as they scroll.

All Things Open 2026 Event

AI Systems Fail Silently — Building Trust Layers with Open Source for Reliable AI

Open-source trust layers for AI systems that fail silently, with real-time scoring across model confidence, retrieval quality, and contextual signals.

IEEE WF-PST 2026 Tutorial

Trustworthy Agentic AI for Public Safety

Tutorial on building agentic AI systems for public safety operations with evaluation gates, escalation paths, and human review built into the workflow.

FOSSY 2026 Event

From Prompts to Runtime Signals: Making Open-Source AI Systems More Trustworthy

FOSSY 2026 session on building open-source AI systems that are easier to evaluate, monitor, and trust in production.

ICML 2026 Mentoring Forum Event

Beyond the Model: Building AI Systems That Work in the Real World

Accepted at ICML 2026 to discuss the evaluation, reliability, governance, human oversight, and deployment work needed for real-world AI systems.

YSpace York University Event

Hiring Your First AI Employee

How founders can delegate real work to AI tools, workflows, and agents without losing judgment, trust, or control. The session page bundles the Gamma deck and LinkedIn post.

Toronto Product Management Association Event

Practice PMing multiple products

Hands-on perspective for teams managing several products at once and deciding where to focus attention.

Next Step

Plan the session around the team and the workflow

Use a short planning call to decide whether a workshop, sprint, or longer program makes sense for your team.

If there is a real training need, the session should end with the right format, audience, and outcome.

In the planning call

Leave with a clear training recommendation

Which team or function should be in the room
Whether a workshop, sprint, or program fits best
What the team should be able to do after the training

Plan a training session See the approach