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Applying module skills

Instruction and application
In Progress

This module focuses on three key skills that you will develop by completing async units and attending workshops:

  • **Skill 1:**Deploy ML model prototypes into live environments.
  • **Skill 2:**Identify and mitigate risks throughout the deployment process to ensure ML models can successfully scale.
  • **Skill 3:**Optimise resource allocation for efficient and cost-effective model deployment.Design scalable architectures for ML model deployment in the real-world

Netflix used a containerised microservices approach with Kubernetes to deploy their recommendation models globally, enabling consistent and scalable user experiences.

This allowed rapid model updates, ensured low-latency performance for millions of users, and maintained uptime during high-traffic periods.

Apply similar scalable practices — like modular deployment, auto-scaling, and monitoring — across different ML pipelines and teams to reduce operational bottlenecks and improve reliability organisation-wide.

Action item: Share how you will apply module skills to your workplace.​

**Directions:**Read the module skills listed above.

  • Choose a module skill and think of three ways to apply it in your role.
  • Choose the bestpotential application.
  • Create a post for the group explaining how you’d like to apply this skill this month.
  • Post your explanation in the discussion board below by clicking ‘+ Create topic’.
  • If you finish early, review what others have posted.