MLOps
MLOps — Running Models in Production
A course bridging the gap between a notebook and a live service: packaging, deployment, monitoring and retraining.
AdvancedOn campusHybrid4.9(47)
4,600SAR
- Start date
- 25 January 2027
- Duration
- 5 days · 30 training hours
- Seats
- 8 / 16
8 seats left
A one-minute introduction from the trainer
Added after the recording session
Your trainer
Eng. Faisal Aldosari
Model Deployment & Monitoring
Experienced in running models that serve millions of requests daily; focuses on the gap between a notebook and a live service.
10 years of experience
Course outline
day by day
1
Days 1–2: Packaging and serving
- Containers for models
- Building an API
- Version management
2
Days 3–4: Automation and monitoring
- CI/CD pipelines
- Performance monitoring
- Data drift detection
3
Day 5: Scale and cost
- Horizontal scaling
- Cost optimisation
- A retraining plan
What will you build?
- A deployed model with an automated pipeline
- A performance monitoring dashboard
- Automated data drift alerting
Who is this course for?
- Machine learning engineers
- DevOps engineers moving into AI
And who it is not for
- Anyone who has never built a model
Prerequisites
- • Experience building models
- • Command-line familiarity
- • Container basics are helpful
Completion certificate
An accredited certificate with a QR verification code linking to your Thinkers Club profile.
INVEX
Accredited completion certificate
QRThe course includes
- 30 training hours
- Cloud credit
- An architecture review
- An accredited certificate
Trainee reviews
We had four models stuck in notebooks. We deployed all of them within a month.
Rakan Alsahli
ML Engineer