Machine learning and data science

Data Science and Machine Learning enable you to harness data to understand phenomena, automate analyses and create predictive models. You can also gain a deeper understanding of data engineering, language models and the industrialisation of AI solutions. ORSYS training courses guide you through data preparation, algorithm development and model evaluation, from the fundamentals of statistics to deep learning.

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Data Science, Machine Learning and Deep Learning

Deep Learning

Automate reporting and accelerate decision-making with Power BI and AI

QIA - 2 d

Data Scientist, Bootcamp (3 months)

4IK - 57 d

Data Scientist, part-time (9 months)

4DB - 57 d

Deep Learning with PyTorch

DLT - 4 d

4,6/5

Next session : 16/02/2027

Deep Learning and Neural Networks: The Basics

DRN - 3 d

4,1/5

Next session : 15/12/2026

Deep Learning in practice

DPL - 3 d

4,8/5

Next session : 24/02/2027

Deep Learning, temps partiel (38 semaines) (Titre RNCP)

3DL - 16 d

Advanced AI: Predictive AI, Computer Vision...

OpenCV e-learning channel

8CV - 1 d

Artificial Intelligence, useful algorithms applied to robotics

IAG - 3 d

4,3/5

Next session : 07/06/2027

AI Python for image processing

PYI - 3 d

4,3/5

Next session : 11/01/2027

Machine Learning

Machine learning engineer, Bootcamp (5 months) (Titre RNCP)

3BZ - 31 d

Machine learning engineer, part-time (18 months) (Titre RNCP)

3BA - 31 d

Machine learning, from POC to production in Python

PYD - 3 d

3,9/5

Next session : 18/01/2027

Machine learning, the state of the art

MLE - 2 d

4,4/5

Next session : 29/06/2027

Machine learning: Methods and solutions

MLB - 4 d

4,5/5

Next session : 09/03/2027

Vertex Forecasting and Time Series in Practice

GVF - 1 d

Managing a machine learning project: the role of the product owner

IAY - 3 d

4,2/5

Next session : 01/03/2027

Data Science Foundation

Artificial intelligence e-learning chain - machine learning, deep learning

8ML - 2 d

Data Science, the fundamentals

DTX - 2 d

4,3/5

Next session : 28/01/2027

Digital twins and AI: concepts, uses and issues

JUM - 1 d

Next session : 01/07/2027

Adding value to data through artificial intelligence Machine Learning

IAV - 2 d

4,6/5

Next session : 27/05/2027

Data mining in practice

DMP - 3 d

5/5

Next session : 15/09/2027

Big Data, Data Science, Machine Learning, their impact on the enterprise

BMD - 2 d

4,4/5

Next session : 23/03/2027

Production, industrialisation

MLOps and orchestration

MLOps, part-time (5 months) (Titre RNCP)

3ML - 6 d

Implement a data science and machine learning solution for AI using Microsoft Fabric (Microsoft DP-604)

MF6 - 4 d

MLOps, deploying Machine Learning in production

MLW - 3 d

4,4/5

Next session : 17/03/2027

Cloud and Machine Learning

Introduction to AI and Machine Learning on Google Cloud

GML - 1 d

4,2/5

Next session : 24/02/2027

Microsoft Azure Machine Learning, developing and using algorithms

AZL - 3 d

5/5

Implement machine learning and generative AI solutions (Microsoft AI-300)

OML - 4 d

Vertex AI for Machine Learning Practitioners

GVM - 1 d

Advanced Generative AI Development on AWS

AW2 - 3 d

Application Development with LLMs on Google Cloud

GCM - 1 d

Develop AI Agents on Azure (Microsoft AI-3026)

MA3 - 1 d

Develop AI Apps and Agents on Azure (Microsoft AI-103)

D3A - 4 d

4,4/5

Develop AI Cloud Solutions on Microsoft Azure (Microsoft AI-200)

D2A - 5 d

4,6/5

LLM model and RAG architecture

LLM

Generative AI, understanding, justifying and auditing the explicability of LLM models

LLO - 3 d

Next session : 27/01/2027

NLP, natural language processing with Python

PTS - 3 d

4,8/5

Next session : 16/06/2027

Text mining in practice

MMD - 3 d

Next session : 01/09/2027

Autonomous Agents and Collective Intelligence, designing Distributed Ecosystems with LLM

LLM - 3 d

4,3/5

Next session : 10/02/2027

RAG and MCP

Designing and Scaling RAG Architectures with LLMs

LLR - 2 d

Create an AI assistant using your data with RAG

ARG - 3 d

Training schedule in :

Machine learning and data science

Brussels

Lille

Paris

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