Course Introduction
Welcome, team introductions, module outline, schedule, coursework, and grading.
emba X5 · Essentials III
Workshop slide decks
Wednesday · 08 July 2026
| from 08:30 | Welcome coffee |
| Rock Jock of the Day: Aline Crouquet | |
| 09:00 – 10:15 | Course Introduction Welcome, module outline & coursework Team introductions ETH AI Center & IVIA Module outline & grading |
| 10:30 – 11:30 | Intro to AI From Machine Learning to Transformers Online slides PDF download What is AI? ML & deep learning Attention & transformers |
| 11:45 – 12:45 | AI in Practice & Agentic AI Online slides PDF download Which tool for which job Context engineering Skills & tool calling Autonomous workflows |
| Lunch | |
| 13:45 – 15:00 | AI-based Products & Services From prototype to product Real-world use cases |
| 15:15 – 16:15 | AI Explainability & Safety Online slides PDF download Bias detection Explainable AI (XAI) ML & LLM basics Trustworthy AI |
| 16:30 – 17:30 | Wrap-up & Reflection Key takeaways Open Q&A |
| 17:30 – 18:30 | Apéro & Series Kick-off with Amina ETH GLC Foyer |
Welcome, team introductions, module outline, schedule, coursework, and grading.
From machine learning to transformers: encodings, embeddings, generalization, and deep learning.
From data, tasks and the right tool to skills, contracts, and autonomous agentic workflows.
Alex's afternoon session on moving from prototypes to dependable products and services.
Looking inside the black box — and where AI goes wrong: bias, robustness, hallucinations & how to validate outputs.