Dear Learning Community,
The first half of 2022 ends. Many courses covering various topics including Artificial Intelligence (AI), Cybersecurity, Fundamentals of Programming and the Web, and the new topic area of Quantum Computing are already scheduled.
We will start with a long-planned course on paradigms for algorithms in Edge AI and the new edition of the popular course Crime Scene Internet (in German). TWe will end with a the year comprehensive packet on the new quantum technologies with sequels on Introduction and Cryptography, two English language courses on Qiskit and Quantum Machine Learning from IBM, and the first part of a course on Quantum Algorithms and their Implementation (in German).
09/07/2022 - 10/26/2022 | 6-8 hours per course week | Prerequisites: High school level math, knowledge of Python, and fundamentals in Machine Learning and Deep Learning
Edge AI combines edge computing with AI technology and has grown rapidly in recent years. Edge AI's ability to run AI on clientside offers potential for challenges such as latency, efficiency, and data sovereignty. In this course, you will learn how Deep Model Compression works and which optimization techniques and algorithms traditional Deep learning need to be adapted for Edge AI scenarios.
Enroll for free here: https://open.hpi.de/courses/edgeai2022
10/26/2022 - 12/14/2022 | Prerequisites: none | 3-5 hours per course week | German
Hackers succeed repeatedly in stealing passwords, accessing sensitive company and user data, and thus, in the worst case, paralyzing entire companies. As diverse as the possibilities that the Internet offers its users, so are the points of attack and potential dangers that emanate from the Internet, and that many people are not yet fully aware. In this openHPI course, you will learn the basic concepts of Internet security.
Enroll here for free: https://open.hpi.de/courses/intsec2022
Quantum Computing Courses
Due to the various cooperation's, we can offer you various continuations and new courses on quantum technologies starting in the second half of the year.
Introduction to Quantum Computing with Qiskit (in cooperation with IBM Quantum Research Zurich):
09/21/2022 - 10/04/2022 | 3-5 hours per course week + 2-3 hours for post-calculus | Prerequisites: linear algebra and matrix calculus, Python | English
A course in English with scientists from IBM Quantum Research Zurich on the basics of the software development kit Qiskit and quantum algorithms, which you can run yourself on the IBM quantum computer with the help of this course.
Enroll here for free: https://open.hpi.de/courses/qc-qiskit2022
10/19/2022 - 11/1/2022 | 3-5h per course week | Prerequisites: Introduction to Quantum Computing 1 (recommended) | German
In the continuation of the first course on quantum computing on openHPI, you will learn how the algorithm for teleportation works, and how classical logic gates can be simulated on quantum circuits. After that, there is mathematics, always with examples from quantum computing and only as much as needed to understand the follow-up courses.
Enroll here for free: https://open.hpi.de/courses/qc-intro-2-2022
11/09/2022 - 11/22/2022 | 3-5 hours per course week + 1-2 hours for recalculation | Prerequisite: basic understanding of IT, physics knowledge on A-level, Quantum Information and Cryptography - Part 1 (recommended) | German
In this continuation of the course Quantum Information and Cryptography, we introduce another key exchange protocol. This time, the focus is on the physical phenomenon of entanglement, which can be used to process information in a completely new way. Look forward to a closer look at entanglement and its applications, such as in the Ekhard protocol or so-called entanglement swapping.
Enroll here for free: https://open.hpi.de/courses/qc-kryptographie-2-2022
1/12/2022 - 12/14/2022 | 3-5 hours per course week + 1-2 hours to try out | Prerequisites: Understanding of complex numbers and matrix calculus, basic knowledge of Python | German
In this course, you will not only learn how quantum algorithms might go theoretically, but how they work and run algorithms on the IBM quantum computer itself. Learn and understand the most important quantum algorithms.
Enroll for free here: https://open.hpi.de/courses/qc-algorithmen-1-2022
Quantum Machine Learning (in cooperation with IBM Quantum Research Zurich)
01/11/2023 - 01/24/2022 | 3-5 hours per course week, 2-3 hours for trial and error | Prerequisite: basic knowledge in Machine Learning and Quantum Algorithms | English
In this free course with scientists from IBM Quantum Research Zurich, you will not only learn about the theoretical potential of Quantum Machine Learning but also solve concrete problems with classical and quantum models.
Enroll here for free: https://open.hpi.de/courses/qc-machineLearning2023
In autumn, we offer the popular exams again. Take advantage of the summer to complete the courses. To help you better prepare for the exams, we have reactivated the homework assignments in the courses. This also allows you to obtain Records of Achievement in self-study for all single courses.
08/31/2022 - 09/28/2022 | 2 hours + self-study time for three courses | Prerequisite: confirmation of participation for three Cybersecurity courses | English
If you have taken the Confidential Communication, Digital Identities, and Cyberthreats by Malware courses, you can take this exam during the exam period and receive a record achievement or Certificate.
Enroll here for free: https://open.hpi.de/courses/cybersec-exam-6
09/28/2022 - 10/2021/2022 | 2 hours + self-study time for three courses | Prerequisite: confirmation of participation for three web courses | German
If you have completed the courses How the Web Works Technically, Programming for the Web, and Pioneering Technologies for the Web (including self-study), you can take this exam during the exam period and earn a record of achievement or Certificate.
Enroll here for free: https://open.hpi.de/courses/webtech-exam-2
We look forward to your participation! Also share our courses and events with your colleagues, students, friends, and acquaintances via email or social media.
The openHPI team