Advanced machine learning
Neural networks, language processing, API deployment and the first notions of MLOps.
| Duration | 4 jours (28 h) |
|---|---|
| Format | On-site |
| Level | Advanced |
| Participants | — |
| Price | Sur devis |
| Certificate | Yes |
Who is this course for ?
IT, data and BI teams, engineers and experienced technical profiles.
What will you be able to do by the end ?
- Understand what a neural network brings, and at what cost.
- Place the use cases of natural language processing.
- Deploy a model behind an application programming interface.
- Set up monitoring, versioning and model updates.
- Run a case study representative of the participants' own work.
Programme
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Day 1 — Neural networks
Principles, common architectures, training and real cost. When deep learning is justified, and when it is not.
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Day 2 — Language processing
Representing text, language models, associated use cases and limits. Confidentiality of the data processed.
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Day 3 — Deploying
Exposing a model through a programming interface. Dependencies, performance, security and on-premise execution.
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Day 4 — Operating over time
Monitoring, versioning, data drift and updates. A case study applied to the participants' own work.
Prerequisites
Intermediate machine learning level or confirmed experience. One laptop per participant.
How is the course run ?
The path from a model that works to a model that runs in production, step by step, with the real constraints of operation.
Frequently asked questions
Are courses delivered at our offices?
Yes, and that is the format we recommend: your teams work in their own environment on their own data. Remote and hybrid delivery are possible depending on your constraints.
How many participants per session?
We deliberately cap group sizes to keep time for individual support during exercises. The exact number is set in the quote, according to the course and the level of the group.
Do we work on our own real data?
Yes wherever possible, and this is the main difference from generic training. Exercises use your real datasets, which means participants leave with dashboards and automations they can put straight to use.
Is a certificate issued?
Yes, a named certificate is given to each participant at the end of the course, together with the detailed programme covered.
What happens after the course?
The materials, exercise workbooks and working files stay with you. Follow-up support can be included in the quote, to answer the questions that surface once the learning is put into practice.
How much does a training course cost?
The price depends on four things: the course chosen, its length, the number of participants and the location. An in-house session run on your own data is not priced like a short refresher. We send a quote within 48 hours, free and with no commitment, after a thirty-minute conversation to frame the need and the level of the group.
Updated Nov. 10, 2026