AI & MLAdvanced · 6 weeks
MLOps & AI Deployment
Take a model from notebook to production.
For learners who can already build models and want to learn the engineering side — deployment, monitoring, and the practices that make ML usable in the real world.
Live Online
Prerequisites
- —Solid Python and ML experience
- —Basic familiarity with cloud platforms
- —Comfortable with command-line tools
What you'll be able to do
- ✓Package and deploy a model as a usable service
- ✓Set up basic monitoring for a deployed model
- ✓Understand versioning and reproducibility practices
- ✓Work with CI/CD basics for ML workflows
Curriculum
From Model to Service
- ·Packaging a model for deployment
- ·APIs for serving predictions
- ·Containerization basics
Production Practices
- ·Monitoring model performance over time
- ·Versioning data, code, and models
- ·Handling model drift
CI/CD for ML
- ·Automating testing and deployment
- ·Rollbacks and safe releases
- ·Basic pipeline orchestration
Format & Duration
Duration
6 weeks
Format
Live Online
Level
Advanced
Ready to find your starting point?
Take the free 15-minute assessment — get your SkillShaft Score and see if this program fits where you are right now.
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