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Welcome to the Phase 3 Hackathon - Workshop 1!

Workshop
In Progress

We are excited to welcome you to Workshop 1 of the Phase 3 hackathon.

Working with the group you formed in Hackathon 2 and the model you refined there, you'll now deploy that model into a production or test environment. In Workshop 2 you'll add monitoring, lifecycle planning, and stakeholder communication. At the end of the hackathon, you'll present your deployed solution to your peers and instructor.

The areas you'll work through​

As you take your model from a notebook to a live service, you'll work through five connected areas:

  • Deployment architecture

Translate your refined model into a reproducible, deployable artefact — a live URL, a docker-compose harness, or a portable container.

  • Version control and rollback Version model artefacts and deployment configuration, and define how you would roll back safely if something goes wrong.
  • Scalability, security, and cost Make justified decisions about resource allocation, secure endpoints, and cost-efficient scaling for the traffic you expect.
  • Explainability foundations Wire in explainability tooling (SHAP or LIME) so that individual predictions can be interrogated by stakeholders.
  • Deliverable readiness Capture the deploy artefact, README, and reproduction steps that will feed into your monitoring plan and stakeholder presentation.

Hackathon scheduleWorkshopTime****DescriptionWorkshop 1 60 minutes Your first work block to deploy the Phase 2 model into a production or test environment.Workshop 260 minutes Your second work block to monitor, maintain, and prepare a stakeholder presentation.Wrap up 45 minutes Presentations, feedback, celebration and key takeaways

Making the most of your time​

The workshops will move quickly! Keep an eye on the schedule and work with your team to set mini-deadlines. Remember, good time management will be crucial for delivering a cohesive presentation in the wrap up.

Optional: Download a copy of the workshop slides.​

Hackathon M13 Workshop 1_AI ML Fellowship.pdfDownload

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In progress