AI Bootcamp: Foundations of AI

 

Foundations of AI is the perfect starting point for anyone looking to dive into artificial intelligence. As the first intensive one-week course in the AI Bootcamp Programme by LARES, it introduces the core concepts of AI and machine learning in a practical, hands-on way. You'll work with real data and case studies, gaining the tools and methods needed to navigate the world of AI with confidence.

The course covers the full lifecycle of an AI project — from collecting and understanding data to building, tuning, and implementing models. Beyond theory, you’ll get hands-on experience with Python, applying what you learn to real-world challenges. Whether you're looking to lead AI projects or deepen your technical skills, the course lays the foundations for your next steps in the field.

 


Who it is for

The course is intended for business attendees as a short specialization and introduction to AI and machine learning tools as well as for creating their first regression and classification models. It implies that attendees already have experience in the technical field they are dealing with and the know-how to think critically about the data they are working with, while we lay the strong foundations of AI during the course.


Syllabus

  • data processing
  • supervised learning - regression, classification
  • unsupervised learning - clustering
  • deep learning
  • ensemble methods
  • model selection and validation
  • real datasets and practical examples

What will you learn

  • to understand the basic ML principles
  • how to program ML models in Python
  • how to efficiently process data
  • how to tune and implement regression and classification models
  • how to build, train and apply deep NN
  • how to implement ensemble methods
  • best practices in ML (bias/variance, model selection & validation)

Prerequisites

  • understanding of data
  • basic math and linear algebra
  • basic programming skills (ideally Python, but not mandatory): 
    • understanding of for loops, if/else statements
    • working with tabular data
  • interest in AI and machine learning

Pricing

  • 1.200 EUR per person (w/o VAT) includes:
    • one-week full-day course
    • course materials (code, datasets, presentations)
    • lunch
    • shareable certificate
  • possibility of a 'tailored' course with company datasets (NDA covered)

Course schedule


Contact

Address Laboratory for Renewable Energy Systems (LARES)
Faculty of Electrical Engineering and Computing
Unska 3
HR-10000 Zagreb
Croatia
Phone +385 1 6129 893
Email hrvoje.novak@fer.hr