Skills for a data-driven future
Quantia trains managers, professionals and technical teams in data and artificial intelligence. The catalogue includes 44 modules across two areas, Data and AI, each with courses for people without a technical background and for those who build. Modules can be combined into tailor-made courses, role-based paths and structured programmes. Our instructors come from research at Politecnico di Milano, the labs run ready-to-use in the browser, and the work is based on real cases.
Target
For business professionals professionals
The courses help spread a culture of data and AI, lead data-driven projects, and choose, adopt and govern AI and GenAI solutions.
For technical professionals
You start from the fundamentals (Python, SQL, statistics) and move on to data engineering, machine learning, GenAI and agents.
Methodology
Learning by doing.
- Non-technical courses: 70% of the time is hands-on. After a short lecture, participants work in groups on a real case and discuss the results.
- Technical courses: hands-on work rises to 90%. After the lectures, participants work on guided and challenge notebooks, and finish with a bootcamp on a real problem.
Instructors
Founders, university professors and practitioners with industry experience bring the latest research and hands-on project experience into the classroom. The content stays up to date and practice-oriented, so it can be applied immediately in daily work and team projects, with the instructor following participants throughout the course.
CATEGORIES
Two areas, for those who decide and those who build.
Data
FOR NON-TECHNICAL
Data Culture
Short sessions to spread the language and culture of data across the company.
Data models · Statistics · Streaming · Agile and MLOps
Data Driven Decisions
Frame problems, lead data-driven projects and communicate with data.
Data for Business · Analytics · Data Visualization
FOR TECHNICAL
Data Essentials
The technical fundamentals: Python, SQL, statistics, modelling and data integration.
Data models · Statistics · Streaming · Agile and MLOps
Data Exploration & Engineering
Explore, acquire, prepare and manage data at scale, in batch and in real time.
Data models · Statistics · Streaming · Agile and MLOps
AI
FOR NON-TECHNICAL
AI Awareness
Understand what AI, machine learning, LLMs and computer vision are, and where they create value.
LLMs · Agents · Computer Vision · AI Ethics & Security
AI Adoption
Design, evaluate, adopt and govern AI and GenAI solutions in the company.
AI for Business · GenAI · Governance
FOR TECHNICAL
AI for Experts
Machine learning, advanced statistics, deep learning, Edge AI, GenAI and agents for those who build.
Machine Learning · Deep Learning · Advanced Data Integration · Semantic Technology · LLMs · Agentic AI · MLOps · Explainable AI
LEARNING PATHS
Modules can be combined into role-based paths and structured programmes with challenges, bootcamps and a final exam: advanced training courses, corporate academies and master’s modules.
From courses to learning paths
- Manager & Decision Maker
- Business & Data Analyst
- Data Scientist
- AI Engineer