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The 25 Best AI Courses in the Basel Area, Germany and France

18.05.2022

Artificial Intelligence (AI) offers numerous possible applications. But how, where and regarding which focal points can you get further training in the Upper Rhine region? On this page, you will find an overview of advanced education courses to increase your AI competence.

künstliche intelligenz weiterbildung

The Upper Rhine region offers numerous opportunities for further education in the field of Artificial Intelligence. The area, which stretches from Alsace through parts of Baden-Württemberg to the northwestern Swiss cantons of Basel-Stadt, Basel-Landschaft, Jura and all the way to Solothurn, has plenty to offer in terms of AI education and research: the numerous public universities in the Upper Rhine region conduct innovative AI research, train future engineers, computer scientists, software developers and AI analysts and offer customized advanced education programs. In addition, the public actors in innovation promotion develop tools and training courses.

AI – what is it?

Artificial Intelligence (AI) will profoundly change everyday life and living. It will quickly affect all players and all industries. Its introduction will impact the ability of regions, companies and society to adapt to the world of tomorrow. With the introduction of AI technologies, radical changes are coming to many businesses: the way products are designed, manufactured, sold, delivered or even maintained will change. Artificial Intelligence is forcing management to rethink how their business works and to develop new production and business processes, including management practices. In addition, AI will bring new information systems – employees will need to be trained, new professionals will need to be hired.

The possibilities of AI

AI is expanding the opportunities for companies and SMEs. However, these businesses are currently facing two major obstacles: the lack of technical skills on the market and the lack of knowledge concerning this technology. While the former is a medium-term task, the latter is an immediate priority.

The impactIA Foundation has set the mission of promoting the adoption of ethical, robust, and legal Artificial Intelligence in the workplace.

AI has evolved over the past three years into a technology that is present on all fronts. Start acculturating your employees accordingly.

Laura Tocmacov VenchiaruttiCo-Founder & Managing Director impactIA Foundation
Read more

Imagining, innovating or optimizing AI applications requires every person and business professional to understand the scope as well as the potential of this technology. Developing new solutions that enable the business to maintain and increase its competitiveness cannot be done by a handful of engineers disconnected from business reality. In the age of Artificial Intelligence, competitiveness is decided collaboratively across silos, and it requires all the people in the company.

AI requires learning, a new culture and new skills – this is also part of the industrial transformation. Are you familiar with the most important terms in the field of Industry 4.0?

The most important AI terms

machine learning

Machine Learning (ML)

We absorb new information with our senses, store it in our brains and use it to make better decisions in the future. This is what we call learning. Machine Learning is the science of machines that improve themselves independently through experience. To this end, ML uses algorithms to process the information the machine has gathered through sensors or direct data input.

artificia neural networks

Artificial Neural Networks (ANN)

An artificial neural network is designed to imitate the human brain. It consists of different algorithms that use large data sets and communicate with each other in order to find new solutions to complex problems. You can think of our neurons as ML machines. Each neuron uses a particular algorithm to process a particular type of information. In an ANN, we connect all the neurons – or algorithms – together so they can communicate with each other.

deep learning

Deep Learning

Deep Learning uses an artificial neural network and is the next level after Machine Learning.

The advanced education programs in the field of Artificial Intelligence

Advanced education courses in the field of AI for skills acquisition are based in various areas, such as robotics, data science, Machine Learning, business analytics or mobility management. Not only the technical side, but also the legal, ethical and social aspects of the use of AI are addressed.

Lifelong learning cannot be only lip service, especially when one thinks of the rapid progress in the field of AI.

Prof. Dr. Franz QuintProrector for Research at Karlsruhe University of Applied Sciences, spokesman for the TriRhenaTech university alliance and the Science pillar of the Trinational Metropolitan Region Upper Rhine (TMO)
franz quint

With their training programs in the field of theoretical basics, and especially in the handling of the latest tools, the universities from the Upper Rhine region support companies to develop AI solutions, to implement them in software and hardware and to establish them on the market.

Note: while advanced education programs are listed over here, initial training programs, whether professional or academic, are not. The following different-format programs enable companies and their employees to develop specific skills related to the company’s profile and the needs of its employees.

AI courses in France

Raising awareness of AI, Grand-Est

“AI for me” is an educational and playful tool aimed at anyone who is interested in the basics of Artificial Intelligence. For those who want to learn specifically about the use of AI in a professional environment or about AI-related training in the Grand Est region, click on “l’IA, c’est Pro” (AI is Pro). “L’IA c’est pour moi” is offered by the Grand Est region as part of its regional plan to promote Artificial Intelligence.

Campus des métiers et des qualifications d’excellence Industrie du futur et numérique

The new requirements related to the industry of the future are manifold: Lean 4.0, interoperability, intelligent flow management, digital twin, industrial data, cobotics, cybersecurity, Artificial Intelligence, intelligent embedded systems, networked objects and many more. Most of the topics are located in the industry of the future. The Campus des métiers et des qualifications d’excellence is intended to be an agile tool for developing educational programs that meet the needs of industry in the short and medium term.

UHA, Campus des métiers et des qualifications d’excellence
Industrie du futur et numérique Grand Est
cmq.iutmulhouse@uha.fr

Campus des métiers et des qualifications – CAMEX IA

CaMéX-IA Grand-Est is concerned with digitalization and the use of Artificial Intelligence in industry, construction and the building sector. CaMeX-IA is a training and innovation network that aims to raise awareness of the professions of tomorrow and train professionals for them. Industrial companies and vocational trainers are trained in the areas of digitalization and AI. In this manner, training programs in 4.0 tools and methods are offered for teachers, including training programs in the field of Industry 4.0 for companies. A training plan on skills addressing AI and immersive technologies (augmented reality, virtual reality) for academic trainers and employees of companies will be implemented.

Ensam, Denis Matheis
Directeur opérationnel CaMéX-IA Grand Est
denis.matheis@ensam.eu

University of Strasbourg Advanced Studies: Intelligence Artificielle et Science des Données : Défis et concepts

Objectives of this advanced education course, held in French: to understand the methodological, technological and societal challenges posed by data masses; to understand the main methodologies used in the fields of data science and Artificial Intelligence; identifying problems when using data; asking questions and discussing with data experts who implement concrete solutions.

University of Strasbourg, Lifelong Learning Division
Diane ABELÉ
abele@unistra.fr

University of Strasbourg Advanced Studies: Intelligence Artificielle : Apprentissage Profond / Deep Learning

Target skills achieved upon completion of this advanced education course, held in French: designing and training a deep learning pipeline; using the TensorFlow 2.0 library; applying convolutional neural networks to various computer vision tasks (e.g., image classification, object segmentation, and person recognition).

University of Strasbourg, Lifelong Learning Department
Diane ABELÉ
abele@unistra.fr

University of Strasbourg Advanced Studies:  Intelligence Artificielle et Science des Données : Approche pratique

Target skills upon completion of this advanced training, held in French: methodological and practical overview of the main methods for identifying and acquiring tools and techniques for solving complex data analysis problems; performing analyses with classical data; identifying problems related to data brought to manipulation; proposing more comprehensive solutions and supporting the data specialists in charge of implementing these solutions in their fields of application; acquiring the skills necessary for the emerging profession of data analyst.

University of Strasbourg, Lifelong Learning Department
Diane ABELÉ
abele@unistra.fr

Université de Haute Alsace – UHA Formation : Intelligence Artificielle (IA) et apprentissage automatique : application en sciences des données, sciences pour l’ingénieur

Target skills upon completion of this advanced education course, held in French: understanding the theoretical and practical concepts of Artificial Intelligence and being able to apply these techniques; being able to take into account the new technical constraints associated with the digitization of signals and digital data collections; being able to elaborate indicators (features) and models (patterns); developing diagnostic, monitoring, regression and classification tools.

UHA, Lifelong Learning Division,
Claudia Aubry
claudia.aubry@uha.fr

Alsace Tech: Program “AI Tech”

Alsace Tech is developing specific training courses for 2022-2023. The goal is a four-day summer school and an advanced education program open to engineers from the network’s schools and also open to professionals.

The Alsace Tech network comprises 14 universities in Alsace that are popular partners for companies regarding the subject of Artificial Intelligence.

Alsace Tech, Stéphane Klein
Company representative
entreprises@alsacetech.org

L’Ecole IA Microsoft By Simplon Strasbourg

The Microsoft By Simplon AI School has trained more than 400 job seekers in France since its inception.

AI developers develop applications in the field of AI and Data Science. As part of the solution to a business problem defined by the organization, their role is to develop IT solutions that can be used by specialists and non-specialists and that directly or indirectly integrate Artificial Intelligence building blocks (e.g., Machine Learning algorithms). They design, test and adapt application programs that integrate these technologies in whole or in part.

The professional degree (RNCP certification) Artificial Intelligence Developer*, Level 6 (former Level II), is equivalent to a Bachelor’s degree – RNCP34757.

AI courses in Switzerland

FHNW Certificate of Advanced Studies – CAS und Master of Advance Studies – MAS – Data Science

The CAS and MAS Data Science advanced education courses at the FHNW are designed to counteract the shortage of specialists in the field of Data Science. Thanks to their extensive and practical knowledge in data science, graduates of the MAS Data Science advanced education course are able to identify application cases for data science, implement data science applications and communicate the results in a way that is appropriate for the target group. The course is offered in German. Individual modules can also be booked, such as Advanced Machine Learning or Machine Learning in Production.

FHNW Patrizia Hostettler
patrizia.hostettler@fhnw.ch

FHNW Certificate of Advanced Studies – CAS – Digital Industry

Individualized products, innovative services, lower costs: Industry 4.0 makes new business models possible. However, implementation also harbors difficulties – new risks arise: data security, insufficient standardization of technical systems or changed business processes are some keywords. In addition, accompanying topics such as digitalization and information protection or data rights are dealt with. The CAS Digital Industry program focuses on the latest technologies such as IoT, data analytics – AI, cloud and mixed reality.

FHNW, Gabriella Gerber
gabriella.gerber@fhnw.ch

FHNW Certificate of Advanced Studies – CAS – AI in Business Processes

The focus is on the question of what kind of possibilities AI (Machine Learning, automated decision support, voice assistance, for instance) offers to further advance the digitalization of business processes. The aim of the CAS offered by the FHNW is to familiarize project managers, technical, process and IT managers as well as other interested persons with the application fields of AI and to give them the necessary tools to be able to improve business processes through AI. The training is held in German.

FHNW, Dagmar Witschi
dagmar.witschi@fhnw.ch

University of Basel: The R Bootcamp

The R Bootcamp is an organization of data scientists from Switzerland. It offers courses and consulting for academic institutions and companies. The courses consist of short, interactive presentations and longer, step-by-step exercises. In this manner, the instructors cater to the specific level and needs of the users, no matter whether they are beginners or advanced learners.

The R Bootcamp
Faculty of Psychology, Basel
Dirk U. Wulff

AI courses in Germany

Offenburg University Applied Computer Science – Artificial Intelligence and Data Science

During the course, Artificial Intelligence and Data Science as well as their concepts and technologies are introduced and learned in a hands-on manner during a course-related project. In 15 modules, knowledge is shared with the aim of solving practical problems. The learning objective is to achieve a high level of realization competence in the following main topics: Artificial Intelligence and Data Science in the context of digitalization as well as Artificial Intelligence with Python.

Offenburg University of Applied Sciences | Institute for Scientific and Professional Development
Dörte Rössler
doerte.roessler@hs-offenburg.de

Fraunhofer Alliance Data Scientist and Big Data Specialist

Using know-how from research and practice, the Fraunhofer Big Data and Artificial Intelligence Alliance conveys the essential basics, procedures and best practices for dealing with Big Data and developing Big Data solutions with high standards of data protection and data security in its Data Scientist training courses. This is done in a vendor-neutral, practical and at the same time theoretically sound manner.

Fraunhofer Academy | Fraunhofer Big Data and Artificial Intelligence Alliance
David Drott

University Albert-Ludwig Freiburg Online advanced training course in Intelligent Embedded Microsystems (IEMS) / Embedded Systems – Machine Learning

The course participants acquire a basic understanding of ML algorithms in theory and practice. They learn which statistical assumptions various algorithms make, which pitfalls to avoid when analyzing data, and how much effort is required to train ML models and put them to productive use. In addition, participants analyze given data, learn to implement ML methods, and make practical use of Python-based ML libraries.

Freiburg University
Alistair Ireland Academic advising
ireland@masteronline-iems.de

Furtwangen University HFU Academy Data Science and Analytics Certified Data Scientist – Introduction to Data Science and Analytics

Participants learn modern data analysis methods in a practice-oriented manner. They are able to use methods and tools from the field of data science in order to analyze company data. In addition, they acquire knowledge to create predictive models and to assess the application potential of Artificial Intelligence on a case-specific basis.

Furtwangen University
Katrin Ziem
katrin.ziem@hs-furtwangen.de

Data Academy Data Literacy – Data Science

Nine colleges and universities in Baden-Württemberg strengthen the competencies of small and medium-sized enterprises in the collection and evaluation of massive amounts of data by offering advanced education and qualification programs. The workshops, courses of study, modules or labs offered are tailored to the needs of small and medium-sized enterprises (SMEs) and provide solutions to current problems in data analysis and data evaluation. The advanced education courses are developed with different target persons in companies in mind. They are aimed both at decision-makers who want to acquire fundamental knowledge in the field of data science and at users who analyze data using existing tools and methods. In addition, special learning formats are offered for experts who respond to problems with novel, data-based solution approaches.

Ulm University
SAPS – Center for in-service scientific education
saps@uni-ulm.de

AI advanced training program of the CyberForum Academy

The modules, which can be taken individually, present research findings, the latest trends and practical knowledge on the subject of Artificial Intelligence. The main focus is on knowledge and skills for decision-makers and users in specialist departments. In addition, there are introductory and in-depth courses on the Python programming language for Machine Learning/AI for non-programmers and programmers.

After attending the three modules “Introduction to AI”, “Deep Dive AI” as well as “AI as a project in practice”, participants receive the CyberForum certificate “Certified AI Manager (m/f/d)”. After attending the three modules “Deep Dive AI”, “Introduction to Python for ML/AI” and “Deep Dive in Python” they will receive the CyberForum certificate “Certified AI User (m/f/d)”.

CyberForum Academy
Dirk Lion
akademie@cyberforum.de

Competence Center AI-Engineering Karlsruhe: PAISE ® Process Model courses

The PAISE® process model aims to enable the systematic, plannable and reliable incorporation of Artificial Intelligence (AI) methods from an engineering perspective into the design, development and operation of technical systems consisting of hardware and software. The application domains for PAISE® are mobility and production while addressing different application scenarios. These include services, for example a one-off customer-specific development and implementation of AI-based systems, and the complete new development of products containing AI components. In these scenarios, the focus is on the one hand on the development of the AI component itself, and on the other hand on the integration of this component into an overall system. CC-KING is the competence center for AI engineering of the Karlsruhe research institutions Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, FZI Research Center for Information Technology and Karlsruhe Institute of Technology (KIT).

CC-KING Training Lab
Dr. Janina Stompe
Fraunhofer IOSB
janina.stompe@iosb.fraunhofer.de

Fraunhofer IOSB: ML/Machine Learning training programs

What is Artificial Intelligence? What is Machine Learning? Which methods currently exist?

The training on Machine Learning answers these questions. In addition, other topics are explained in detail. For example, how do I get from data to a validated model? Which software libraries can I use?

Intensive review of the topics regression analysis and anomaly detection complete the training.

CC-KING Training Lab Dr. Janina Stompe
Fraunhofer IOSB
janina.stompe@iosb.fraunhofer.de

FZI Research Center for Information Technology Karlsruhe: ROS Robot Operating System courses

Training courses, individual training sessions and workshops on the Robot Operating System (ROS) are offered, as well as technology and innovation workshops on current research results and trends in robotics. Numerous application scenarios are also available. They can be used to test and further develop new algorithms or prototypes under the most realistic conditions possible in a safe environment.

FZI Research Center for Information Technology
Dr.-Ing. Arne Rönnau, FZI Living Lab Service Robotics
roennau@fzi.de

KIT Karlsruhe Institute of Technology: Smart Data Innovation Lab (SDIL) 

The Smart Data Innovation Lab (SDIL) provides collaborative research projects based on industrial data (from master theses to BMBF projects) with comprehensive infrastructure and support to close the current gap between academic research and industry problems through a data-driven innovation cycle.

Smart Data Innovation Lab
Dr. Till Riedel
office@sdil.de

Karlsruhe Research Factory®, training and laboratory programs

The Karlsruhe Research Factory® (Fraunhofer Institutes ICT and IOSB and the Karlsruhe Institute of Technology (KIT)) offers new opportunities to directly and exclusively access the know-how of scientists and developers. In this way, innovative ideas, concepts or products can be quickly put into practice.

Fraunhofer Institute of Optronics, System Technologies and
Image Exploitation IOSB
Deputy Director of the Institute
Dr.-Ing. Olaf Sauer

AI online course

The free online course “Elements of AI (Artificial Intelligence)” provides an introduction to the field of AI. The online course is intended to introduce managers and employees to the topic of Artificial Intelligence and thus make a concrete contribution to the digital transformation of the German economy.

Neither mathematical nor programming knowledge is required. Elements of AI combines theoretical knowledge transfer with practical exercises. The courses are available in several languages.

Chamber of Commerce and Industry IHK Southern Upper Rhine
Nico Faller
nico.faller@freiburg.ihk.de

Machine Learning in Germany, France and Switzerland

Advanced training Machine Learning

In the advanced training on Machine Learning, participants directly apply the methods and concepts they have learned by working with real data in practical exercises.

The goal of the beginner course is to familiarize learners with the topics of Machine Learning and Artificial Intelligence. The theoretical basics are directly applied in practical exercises using real data. Participants learn how to process data and classical algorithms. Python, Scikit-learn and Kaggle are used.

The goal of the advanced course is to develop an understanding of Deep Learning and data visualization. In this case, participants acquire theoretical knowledge about the various components and architectures of neural networks and apply them to real data. Python and Tensorflow will be applied.

Organizational information:

  • Beginner course: 8-10 June 2022, 9 AM-12 PM and 1-4 PM
  • Advanced course: 22-24 June 2022, 9 AM-12 PM and 1-4 PM

Location: Karlsruhe

The training will be held in English. If you have any questions, please contact:

Romina Junk
Karlsruhe University
romina.junk@h-ka.de
0721 925 2800

* In the case that current COVID-19 restrictions do not allow for face-to-face classes, courses will be held online.

Take a look at the interactive map listing academic players and scientific disciplines.

More information about the initiative and authors

Via the expert group “Promotion of Innovation”, The Upper Rhine Conference has set itself the goal of drawing up a representative but non-exhaustive list of strategic and structure-building regional initiatives to support the development of the AI sector. With a view to improving the networking of economic and scientific players in the Upper Rhine region, the working group works closely with the Trinational Metropolitan Region Upper Rhine (TMO).

With regard to this relatively new technology, it has become a priority to bring these programs and projects to the attention of the largest possible public in order to support the development of AI on a trinational level and to highlight the strengths of the Upper Rhine and its actors in this field.

The expert group “Promotion of Innovation” is composed of representatives of the organizations and networks responsible for promoting economic development and innovation in the three regions that make up the Upper Rhine:

Copyright: Säule Wissenschaft / Pilier Sciences

As a trinational exchange platform, this group initiates and supports innovative projects between France, Germany and Switzerland and helps to highlight the Upper Rhine as a uniquely innovative European border region.

If you would like to send us more information, please do not hesitate to contact us!

Website of the Upper Rhine Conference:

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Sébastien Meunier

Director Industrial Transformation

Email Sébastien

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