Any questions?
IIA
IIA Assistant
Hello!
I'm the IIA assistant.
What are you looking for?
AI careers · Promising jobs · Certified courses

Careers in
artificial intelligence.

Data Scientist, AI Engineer, MLOps, Prompt Engineer, NLP Specialist… AI jobs are among the most sought-after on the market. Discover the key roles, their salaries in France and our certified courses to prepare for them, 100% online.

06 key jobsSalaries €45-150k100% online
06x
Jobs
in detail
150k€
Top salary
in France
Pro
Professional
level
— Overview

Understanding AI jobs

01 / Big picture

AI is transforming every sector: those who master its tools are shaping the next decade.

Artificial intelligence is no longer confined to research labs. It is reaching into healthcare to help with diagnosis, finance to detect fraud, industry to optimise predictive maintenance, marketing to personalise the customer experience, and far beyond.

AI professionals analyse massive volumes of data and design models that can predict, classify, generate or automate complex tasks. This requires a rare combination of skills: statistics, programming, software engineering, but also business understanding and ethics.

That rarity explains the explosive demand and salaries above the tech-sector average.

01
Healthcare
02
Finance
03
Industry
04
Marketing
05
Cybersecurity
06
Transport
07
Retail
— Jobs

The key jobs of tomorrow

06 / Key roles
— Analysis & modelling01 / 06
01job

Data Scientist

Advanced data analysis, statistical modelling and Machine Learning. The Data Scientist turns raw data into actionable business decisions.

A hybrid profile between statistician, developer and business expert. At the heart of companies' data strategy.

Python · scikit-learnPandas · SQL
— Deep Learning02 / 06
02job

AI Engineer / ML Engineer

Designing, training and deploying Deep Learning models in production. The bridge between research and industrial application.

Command of complex architectures (Transformers, CNNs, RNNs) and large-scale software engineering.

PyTorch · TensorFlowGPU · Docker
— Generative AI03 / 06
03job

AI Analyst & Prompt Engineer

Getting the most out of generative models and bringing AI into business processes. An emerging role with very high added value.

A key profile for companies deploying ChatGPT, Claude or internal AI assistants.

LLMs · RAGAgents · API
— Natural language04 / 06
04job

NLP Specialist

Natural language processing, advanced chatbots, machine translation, sentiment analysis. Language models are their playground.

At the crossroads of computational linguistics and modern Deep Learning.

Transformers · spaCyBERT · LLMs
— Industrialisation05 / 06
05job

MLOps Engineer

Industrialising, monitoring and scaling AI pipelines in production. Guarantor of the reliability and performance of deployed models.

A hybrid between DevOps and Data Science. Essential in any company putting AI into production.

Kubernetes · MLflowCI/CD · Cloud
— AI governance06 / 06
06job

AI Ethicist / Responsible AI

Ethics monitoring, bias management, transparency and regulatory compliance (EU AI Act). A booming role with European regulation.

At the crossroads of law, social sciences and technology. Rare and highly sought-after profiles.

AI Act · GDPRBias · Audit
— Salaries

Salary & prospects

France · 2026
—
Profile
Gross annual range
Market tension
01 /
Junior Data Scientist
45—60 k€
High demand
02 /
Experienced Data Scientist
60—85 k€
Very high demand
03 /
Experienced AI Engineer
70—120 k€
Talent shortage
04 /
Senior MLOps Engineer
80—130 k€
Talent shortage
05 /
AI Lead / Head of AI
110—150 k€
Extremely tight market
06 /
Prompt Engineer / AI Analyst
50—90 k€
Emerging market
— Skills

Sought-after skills

04 / Pillars
01
— Technical

Programming & algorithms

Python, SQL, data structures, algorithms. The essential foundations for any data job.

02
— Mathematics

Statistics & ML

Statistics, linear algebra, probability, Machine Learning and Deep Learning theory.

03
— Engineering

Cloud & production

Docker, Kubernetes, AWS, GCP. The ability to deploy and maintain models at scale.

04
— Soft skills

Business communication

Explaining simply, translating a business need into a data problem, presenting results to non-technical people.

— Pathway

Your path into AI

04 / Steps
— Step 01

Diagnosis & guidance

Skills assessment, identifying the target job and the pathway best suited to your profile and constraints.

— Step 02

Certified training

A targeted IIA programme: Data Scientist, AI Engineer, Prompt Engineering or the AI Apps Bootcamp, depending on your goal.

— Step 03

Projects & portfolio

Real projects assessed by our trainers. Building a credible portfolio for recruiters.

— Step 04

Job search & follow-up

CV coaching, technical interview preparation, introductions to our partner network.

— Courses

Our certified courses

04 / Programmes
— Data Science01 / 04
01programme

Data Scientist

Python, classic Machine Learning, Deep Learning, visualisation. The reference programme to become an operational Data Scientist.

Hands-on cases with real data. Sector projects possible (finance, health, retail).

Level beginner to proCertified · Fundable
— Deep Learning02 / 04
02programme

AI Engineer

PyTorch, TensorFlow, advanced NLP, computer vision, deployment. To go beyond Machine Learning and master Deep Learning.

An intensive programme focused on production and industrialisation. Emphasis on training complex models.

Level advancedCertified · Fundable
— Generative AI03 / 04
03programme

AI Analyst & Prompt Engineering

Mastering LLMs, RAG, autonomous agents, business integration. The ideal course to use generative AI in the enterprise.

Work with ChatGPT, Claude, Mistral and other models. Building agents and business assistants.

Level intermediateCertified · Fundable
— End-to-end04 / 04
04programme

AI App Building Bootcamp

A complete end-to-end pipeline: from the model to the user interface, through the API and production deployment.

Intensive format. By the end, you have delivered a working, hosted AI application.

Format intensiveCertified · Fundable
— FAQ

Frequently asked questions

04 / Answers
Q01 /

Do I need a master's degree to work in AI?

No. While university profiles remain the majority, more and more recruiters value career changers from intensive bootcamps who can show a solid portfolio. That is exactly the approach of our certified courses.

Q02 /

Which job should I aim for as a beginner?

Junior Data Scientist or AI Analyst / Prompt Engineer are the most accessible entry points. The second, more recent role does not require strong maths foundations and remains in high demand.

Q03 /

Can IIA courses be funded?

Yes, for learners in France. Our AI programmes are eligible for several schemes: FNE-Formation, AIF/POEI/POEC via France Travail, or a company skills development plan. Our team helps you put the application together.

Q04 /

Can I take the course online?

Yes. All our AI courses are taught online in a virtual classroom. You get replays, materials and exercises on our dedicated platform, with a lead trainer.

— Contact

Ready to get into AI?