MLOps and LLMOps: Deploying, Monitoring and Optimising AI Models in Production – Dubai, 26–30 Apr 2027
MLOps and LLMOps: Deploying, Monitoring and Optimising AI Models in Production runs in Dubai from Monday 26 April to Friday 30 April 2027 (1 Week). The fee is 21,450 SAR per participant. The same programme is also scheduled in 1 other city.
- Dates
- Length
- 1 Week
- Fee per participant
- 21,450 SAR
- Format
- In person, Dubai
- Venue
- Five-star CBD venue
- Status
- Open for registration
- Week
- 17 of 2027
- Reference
- 935_21527
This session
26–30 Apr 2027
This MLOps and LLMOps: Deploying, Monitoring and Optimising AI Models in Production session in Dubai runs from Monday 26 April to Friday 30 April 2027 (week 17, Q2 2027). It is the only date in Dubai in 2027, at a fee of 21,450 SAR. Registration is open for this date. It is held in person at Five-star CBD venue.
How do I book this date?
Register online to request your place, or send us a question about this date first.
Reference for this date: 935_21527. Quote it when you contact us.
Before you book, read our cancellation policy.
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Questions about this date
When does MLOps and LLMOps: Deploying, Monitoring and Optimising AI Models in Production in Dubai start and finish?
It starts on Monday 26 April and finishes on Friday 30 April 2027: 1 Week.
How much does MLOps and LLMOps: Deploying, Monitoring and Optimising AI Models in Production in Dubai cost?
The fee for this date is 21,450 SAR per participant. Please read our cancellation policy before you book.
Is this date held in person or online?
It is held in person in Dubai, at Five-star CBD venue.
Where else does MLOps and LLMOps: Deploying, Monitoring and Optimising AI Models in Production run?
It is also scheduled in 1 other city: London.
What does this programme cover?
MLOps and LLMOps for deploying, monitoring and optimising AI models close the gap between a model that scores well in a notebook and a service that stays accurate, affordable and fast after release. Many teams still retrain by hand, cannot say which dataset produced the live model, notice drift only after users complain and see LLM token bills climb unchecked. This Core Concept course gives engineers a tool-neutral method to version, ship, serve, observe and roll back classical models and LLM applications. Participants design an MLOps and LLMOps Pipeline Blueprint with a monitoring dashboard for a case AI service.
The programme outline covers:
- Introduction
- Course Objectives
- Target Audience
- Course Outline
- Day 1: Production ML and LLM Lifecycle and Maturity Baseline
- Day 2: Reproducibility, Versioning and Pipeline Architecture
- Day 3: Continuous Delivery, Serving and Scaling of Models
- Day 4: Drift Monitoring, LLM Evaluation and Cost Control
- Day 5: Observability, Incident Response and Pipeline Blueprint Lab
- Skills You Will Gain
- Why Attend This Course
- Conclusion
Where else does this programme run?
Also scheduled in 1 other city.
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