Machine learning, disruption, fourth industrial revolution or blockchain are just a few terms we encounter in connection with artificial intelligence (AI). A much-discussed topic that has long since ceased to be a mere future trend and has already found application in many areas. Expectations of AI – sometimes perhaps also influenced by stories from science fiction – are high. The course focuses on current opportunities for companies, how companies can recognise and use their potentials in relation to AI. In order to implement the technology successfully, it is first necessary to find out what explicit benefits it can offer your company and your customers. It will also be discussed where the current limits of AI are and what impact AI will have on society and businesses in the future.
To better assess the use and benefits of AI technologies in the business environment, you will learn about the current state of research and discuss in the group how artificial intelligence is applied. You will gain a deep insight into already realised AI projects from different areas (e.g. finance, automotive, pharmaceutical industry) and learn to evaluate the progress of digitisation in your own business area and to manage AI projects. This course will provide you with the necessary know-how to establish the interface to IT and make a competent contribution to the strategic orientation of your company.
If you plan to implement AI projects in your company and therefore want to understand the current possibilities of AI as well as identify the potentials of your company, the course will offer you insights and updates on current AI-related developments and trends. Examples from different industries will show you the potentials, but also the existing limitations of AI. But also for those who have already implemented their first projects, the course offers the opportunity to re-evaluate and to develop them further.
The course is held in English.
Module 1 – Fundamentals
Module 1 provides a comprehensive introduction to the topic AI for Business and focuses on current applications. Why is AI currently relevant and which questions should companies address? On the basis of applications, the possibilities, but also the limits of AI are shown. Concrete examples from business practice are used to demonstrate the possibilities, but also the limits, of AI.
Session 1: Introduction AI for Business + Final Exam – what to do (18.10.2022, 17.30 – 19.00)
Session 2: Applications (General) (19.10.2022, 17.30 – 19.00)
Session 3: Applications (Manufacturing, Pharma, Automotive) (20.10.2022, 17.30 – 19.00)
Module 2 – Infrastructure and Challenges
Module 2 focuses on current models and technical solutions to show how AI infrastructures are built and composed. Participants will be able to reflect on the use of AI in their own business context and to identify potential challenges as well as suitable solutions.
Session 4: Cloud services, large scale models, training cost, energy consumption, transfer learning, federated learning (01.11.2022, 17.30 – 19.00)
Session 5: Edge AI and TinyML, Cybersecurity (02.11.2022, 17.30 – 19.00)
Session 6: Explainable AI, AI regulation (03.11.2022, 17.30 – 19.00)
Module 3 – Strategy
Module 3 discusses which data is relevant for the implementation of AI, how it must be prepared and can be used. What needs to be considered in strategic decisions to successfully embed AI? The module also discusses which requirements and challenges should be taken into account when implementing AI in the company. Data protection and a look at ethical questions complete the module.
Session 7: AI Strategy and Organizational Transformation (08.11.2022, 17.30 – 19.00)
Session 8: Ethics, Bias, Data Protection (09.11.2022, 17.30 – 19.00)
Module 4 – The Future of AI in Business
The fourth and final module addresses the future of AI and explores how AI will transform business. How will the labor market change and what does this mean for certain jobs? Which trends and developments can already be identified and how can companies react to them?
Session 9: Future of work; AI/ML jobs and the future of these jobs (22.11.2022, 17.30 – 19.00)
Session 10: How will AI continue to transform society, Superintelligence threat, Quantum AI (23.11.2022, 17.30 – 19.00)
For taking the Certified Specialist in AI for Business examination you present your AI project orally (using a power point) in 20-30 minutes.
Session 11: Wrap-Up + Q&A session examination (24.11.2022, 17.30 – 19.00)
Session 12: Final Examination (09.12.2022 -> Time TBD)
Moritz Strube has been working with artificial intelligence and software development for more than 20 years. The mathematician and economist has extensive practical experience with data science, software development and cloud computing. He lectures on Artificial Intelligence, Data Science and Blockchain at Frankfurt School and writes about current technology trends. Since October 2021, he has been CTO of InspectifAI, which uses Deep Learning for visual inspection in pharmaceutical manufacturing. Previously, he was CTO of various tech startups.
Certified Specialist in AI for Business (Frankfurt School of Finance & Management)
Managers, decision-makers, project and process managers in the field of digital transformation, business development or product management.
Managers who plan to set up and implement new projects. Managers who have already successfully implemented their first projects and now want to develop them further. Managers whose projects have failed and now want to develop new solutions.
In-house training for groups from companies is also possible at other times. Feel free to contact us – we will create a customised offer for you.
The duration of the certificate programme AI for Business is around 2 months.
The course consists of 4 modules with each 2-3 evening sessions. A total of 10 sessions will be held where you will be given all the current and relevant content. The 11th session is a wrap-up and gives you the opportunity to ask final questions about the exam. Each of the 11 sessions takes place in the evening with a duration of 1.5 hours.
The last session in the course is the final exam where you will present your project orally.
|1||Session 1: Introduction AI for Business + Final Exam – what to do||18.10.22||17.30 - 19.00|
|Session 2: Applications (General)||19.10.22||17.30 - 19.00|
|Session 3: Applications (Manufacturing, Pharma, Automotive)||20.10.22||17.30 - 19.00|
|2||Session 4: Cloud services, large scale models, training cost,
energy consumption, transfer learning, federated learning
17.30 - 19.00
|Session 5: Edge AI and TinyML, Cybersecurity||02.11.22||17.30 - 19.00|
|Session 6: Explainable AI, AI regulation||03.11.22||17.30 - 19.00|
|3||Session 7: AI Strategy and Organizational Transformation||08.11.22||17.30 - 19.00|
|Session 8: Ethics, Bias, Data Protection||09.11.22||17.30 - 19.00|
|4||Session 9: Future of work; AI/ML jobs and the future of these jobs||22.11.22||17.30 - 19.00|
|Session 10: How will AI continue to transform society,
Superintelligence threat, Quantum AI
|23.11.22||17.30 - 19.00|
|Session 11: Wrap-Up + Q&A session examination||24.11.22||17.30 - 19.00|
|Exam||Session 12: Final Examination||09.12.22||TBD.|
Total fee: EUR 4,550
The fee covers course registration (EUR 100), the examination (EUR 450) and final certification.
Course fees are exempt from VAT.
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