Training in IT and innovation. From experts. Free of charge. At your own pace.

Practical Computer Vision in PyTorch is a comprehensive, hands-on course for developers and practitioners eager to explore computer vision with PyTorch. It spans image classification, object detection, segmentation, and generative modeling. Emphasizing implementation, participants work through coding demos and projects with industry-standard tools and libraries. By the end, they will be able to build and fine-tune computer-vision models for real-world applications.

In an era where digital technologies are reshaping industries and daily life, the environmental impact of AI systems has become a growing concern. This course explores efficient AI methodologies to address these challenges. From deep learning model compression to low-bit quantization and collaborative inference, we delve into techniques that enhance computational efficiency and reduce energy consumption. In Week 2, we focus on low-bit quantization specifically for large language models (LLMs), showcasing cutting-edge open-source tools and models. Join us to learn how to build sustainable AI systems while pushing the boundaries of innovation.

This course is part of the Sustainability in the Digital Age series, a collaborative project between colleagues from Stanford University, SAP and the Hasso Plattner Institute.

Du fragst dich, wie Messaging-Apps, beispielsweise WhatsApp, Signal oder Telegram, dafür sorgen, dass deine Nachrichten verschlüsselt werden? Du möchtest wissen, wie man Passwörter in Datenbanken sicher speichert? Du fragst dich, wo auch in deinem Alltag sonst überall Kryptografie drinsteckt? Dann ist das dein Workshop! In einer Serie von kurzen Videos beschäftigen wir uns mit dem Feld der Kryptografie - was ist Kryptografie, woher kommt sie, wie funktioniert sie? Wir beantworten diese und noch viele weitere Fragen, damit ihr am Ende ein Grundverständnis von Kryptografie erhaltet. Außerdem wollen wir einige praktische Übungen durchführen - wir werden selbst Nachrichten asymmetrisch ver- und entschlüsseln, und sogar eine kleine Challenge wartet auf euch!

Der Workshop richtet sich an Schüler*innen ab der 8. Klasse und dauert ca. 2-3 Stunden. Es gibt die Möglichkeit, eine Teilnahmebestätigung zu erhalten. Wir freuen uns auf euer Feedback zu diesem neuen Format!

Du willst noch mehr lernen und mit Gleichgesinnten spannende IT-Themen kennenlernen? Dann bewirb dich jetzt für unser HPI-Digitalkolleg: https://hpi.de/studiumhpi-schuelerakademie/digitalkolleg/
Weitere Angebote für Schüler*innen findet ihr hier: www.hpi.de/schueler.

This course explores the critical  intersection of AI and sustainability, highlighting how technological advancement can align with environmental responsibility. It offers insights into the dual nature of AI, noting its potential for increasing efficiency and driving sustainable innovation, while also acknowledging the significant energy consumption involved in training and applying AI models. In this course, we are not only examining the paradox of AI and sustainability but also provides actionable recommendations for incorporating sustainability into AI application development. By examining AI's transformative role and its environmental impact, the course offers a comprehensive understanding of how AI can be harnessed to support global sustainability goals effectively.

This course is part of the Sustainability in the Digital Age series, a collaborative project between colleagues from Stanford University, SAP and the Hasso Plattner Institute.