Mandragore Academy / Explore the careers shaping the digital world. / AI Engineer
AI & Agents

AI Engineer

understanding the role, responsibilities, and skills of an AI Engineer

Discover the AI Engineer role: its purpose, day-to-day responsibilities, product/data/IT environment, tools, skills, a real-world enterprise AI assistant case, a skills pathway, and an orientation workshop.

A discovery and orientation course — does not constitute a professional certification.

What you'll cover — 8 lessons

01 Discovering the career
02 Understanding day-to-day responsibilities
03 Understanding the working environment
04 Discovering the tools and technologies
05 Identifying the required skills
06 Following a concrete professional case
07 Building your path toward this career
08 Orientation workshop

AI Engineer

9,90 €

excl. VAT · 80 credits included

Your Skills Development Pathway

Recommended Mandragore courses to develop the skills required for this career.

🎯 Essential

Python

The core language for designing and integrating AI solutions.

ChatGPT

Understand and work with the generative models at the heart of this role.

Machine Learning

The core of the job: designing, training and evaluating models.

🧩 Recommended

JavaScript & TypeScript

Useful for integrating AI into real-world web applications.

API & Web Services

Essential for connecting AI models to external applications and services.

Cloud Fundamentals

AI models are trained and deployed on Cloud infrastructure.

AI Agents & Agentic Systems

Extends AI models into agents capable of acting autonomously.

➕ Complementary

Power BI

Helps visualize and communicate the results of deployed models.