ETTI AI Autumn School 2026

Days of learning

Expert instructors

Prior AI experience required

About the school

Dive deep into the world of AI & Machine Learning

Welcome to the second edition of AIutumn — a unique opportunity to explore Machine Learning, Deep Learning, and Data Science at ETTI, Politehnica București.

What to expect?

Engaging lectures, hands-on workshops, and collaborative projects. You'll work on real-world AI problems alongside fellow students who share your passion for technology and innovation — guided by experienced PhD researchers from ETTI.

Who can join?

Open to all ETTI bachelor's students (priority: 2nd and 3rd year)
Students from other universities are also welcome!
No prior AI experience required — just curiosity and dedication
Bring your own laptop and commitment to participate in both weeks

How to apply?

Click Apply now and fill out the application form. Applications close July 15, 2026.

Meet the instructors

Taught by researchers at the frontier

Andrei Radu

PhD student at SD-ETTI & DISI-UniTn. Researcher in Generative AI developing novel methods for control and adaptability in image, audio and text generation. Applications span entertainment, healthcare and robotics.

andrei_radu.danila@upb.ro

Alexandru-Florin Ene

Master's student at ETTI with extensive experience in low-level hardware programming and electronics. Focus on AI applications in audio engineering, game design and development.

alexandru.ene2702@stud.etti.upb.ro

Dan Curavale

PhD student at SD-ETTI & Research Affiliate at Infineon Technologies Romania. Uses generative models to automate system engineering model creation, and develops AI diagnostic tools for epilepsy patients.

dan.curavale@stud.etti.upb.ro

Gabriel Pîrlogeanu

PhD student at SD-ETTI & developer at Zevo Tech. Expert in Automatic Speech Recognition, Speaker Diarization, and Audio-Visual models. Former researcher at CVN Lab, University of Paris-Saclay.

gabriel.pirlogeanu@gmail.com

Nicolae-Alexandru Guzu

PhD student at SD-ETTI researching Large Language Models for software verification and production test programs. Works with Infineon across robotics, healthcare and industrial testing domains.

nicolae.guzu@upb.ro

Radu Bolborici

PhD student at SD-ETTI & ML Engineer at MaDENN. Research focuses on speech synthesis and voice cloning — conditioning techniques for diffusion, flow-based and autoregressive models for zero-shot generation.

radu.bolborici@stud.etti.upb.ro

Program

Five days of intensive, hands-on AI

Daily sessions from 10:00 AM to 6:00 PM, with breaks and networking opportunities throughout

Download full schedule PDF →

Day 1

Monday

Introduction to Machine Learning

What can AI do Data Representation Feature extraction Overview of AI capabilities, data preprocessing, and foundational methods for building intelligent systems.

Day 2

Tuesday

Machine learning

Classification Regression Clustering Core algorithms, model evaluation, and practical applications in various domains.

Day 3

Wednesday

Deep Learning

CNNs RNNs Transformers Neural network architectures, training techniques, and applications in vision, language, and audio data.

Day 4

Thursday

Embedded AI

TinyML Model optimization Edge deployment Techniques for running AI models on resource-constrained devices, including model compression and hardware considerations.

Day 5

Friday

Current Trends in AI

Diffusion Models AI Safety and Explainability Exploration of cutting-edge research topics, ethical considerations, and real-world applications shaping the future of AI.

* Schedule is indicative — exact topics and days will be confirmed closer to the event.