Compact Course
Generative AI in Corporations
for Managers and Consultants
Next course: 08.11.2023
Content:
- Understand (generative) AI
- Application areas & examples
- Development of generative AI strategies, between Make and Buy
- Overview of generative AI systems and tools
- Introduction successful AI project management
- AI team: Roles and leaderships
- Ethical and legal topics (e.g. AI liability) for the development and use of AI
- Practical tips and discussion
- Basics of prompt engineering (Focus: ChatGPT)
Further Information:
This compact course is led by experts from DFKI (German Research Center for Artificial Intelligence) and industry. Additionally, a moderator guides through the agenda. With the participation you will receive the certificate “Generative AI for Managers and Consultants”.
Key Information:
Audience: | Managers and consultants from all industries and disciplines (previous knowledge in the field of IT/AI is not required for participation) |
Attendance: | 15-20 |
Language: | German |
Duration: | Compact Course (1,5 days) |
Price: | € 1,800,- exkl. VAT |
Questions?
Next Dates:
NOV
08.11. & 09.11.2023
Berlin
German
3 Plätze verfügbar
JAN
25.01. & 26.01.2024
Berlin
German
3 Plätze verfügbar
APR
22.04. & 23.04.2024
Berlin
English
3 Plätze verfügbar
SEP
26.09. & 27.09.2024
Berlin
German
3 Plätze verfügbar
NOV
25.11. & 26.11.2024
Berlin
German
3 Plätze verfügbar
Mastering the
AI transformation
together
Timetable
Start Day 1 | Duration | Topic |
---|---|---|
9:30 | 0:15 | Introduction |
9:45 | 0:30 | AI Basics |
10:15 | 0:30 | Application Areas and Examples |
Break
11:00 | 1:00 | Generative AI |
Lunchbreak
13:30 | 0:30 | Introduction Exemplary Tool and Basics of Prompt Engineering |
14:00 | 0:45 | Generative AI: Use Cases and Examples |
Break
14:45 | 1:00 | Generative AI Strategies between Make and Buy |
Break
16:00 | 0:45 | Successful AI Project Management |
16:45 | 0:30 | AI Team: Roles and Leadership |
17:15 | 0:15 | Conclusion |
Timetable
Start Day 2 | Duration | Topic |
---|---|---|
9:30 | 1:00 | Overview of AI Systems and Tools |
Break
10:45 | 1:00 | Ethical and Legal Topics (e.g. AI Liability) for the Development and Use of AI |
11:45 | 0:30 | Workshop: Case Study Pt. 1 |
Break
12:30 | 0:30 | Workshop: Case Study Pt. 2 |
13:00 | 0:30 | Conclusion |
End Day 2
Details:
Understanding (Generative) AI: Get a clear insight into the fundamentals of AI and Generative AI. Learn the essential concepts and technologies to evaluate current and future developments.
Application Areas and Examples of (Generative) AI: Understand how these technologies are already being used successfully in various industries today.
Development of (Generative) AI Strategies, between Make or Buy: With our strategy framework we work out possible AI strategies together. Learn based on examples how to make informed decisions between a Make or Buy scenario.
Overview of Successful AI Project Management: Develop an understanding of the basic principles of successful AI project management. Learn how to efficiently plan, execute, and control AI projects.
AI Ecosystem and Tool Landscape: For a better evaluation of strategies towards the “buy option”, we present an overview of the AI ecosystem and tool landscape. This will at least give you a navigation in the jungle of vendors.
AI Team – Roles and Leadership: Understand the key roles and leadership skills required to build and lead a successful AI team.
Ethical and Legal Issues in AI Development and Use: Take an in-depth look at the ethical and legal aspects of AI. Explore how to use AI responsibly and minimize potential (liability) risks.
Practical Tips and Discussions: Benefit from practical tips and lively discussions that will enrich your learning experience and help you put the knowledge you have learned into action.
Introduction and Application of a Sample Tool: Get a hands-on introduction to a selected tool that can help you implement AI initiatives.
About the experts:
Dr Philipp Schlenkhoff LL.M. corp. restruc. is not only an expert in corporate strategy, but combines this with technological and legal acumen. As a leader, he is known for his expertise in linking technology, distribution and corporate law, developing strategies that cover both the areas of innovation and legal compliance.
His LL.M. in Corporate Restructuring highlights his mastery of the intricacies of corporate transformations, mergers, acquisitions and the legal nuances of corporate change. This unique combination of technological foresight and legal insight enables him to navigate the complexities of the corporate landscape with unmatched precision.
In his role at GIANCE Technologies, a renowned Deep Tech AI/NLP spin-off of the German Research Center for AI (DFKI), Philipp’s versatile skills come into their own. He bridges the gap between cutting-edge research projects and their entrepreneurial implementation, ensuring legal compliance at every step. The establishment of the transformative business model and the successful transition into UNICEPTA Corporate Intelligence GmbH were milestones that benefited greatly from his expertise in sales, strategy and artificial intelligence.
Dr. Sven Schmeier, Chief Engineer and Deputy Head of the Language Technology Lab at DFKI, has an illustrious career marked by innovation and leadership in AI and machine learning.
With key roles in start-ups like XtraMind, semgine, and Yocoy, Sven has been instrumental in pioneering technologies and translating them into commercial success.
His academic journey commenced at the University of Saarland, majoring in Physics and Computer Science. His master’s thesis, revolving around a multi-agent system for scheduling, laid a solid foundation for his career. Furthermore, his Ph.D. in Computational Linguistics, focused on exploratory searches on mobile devices, underscores his depth in research. Having spent substantial years at DFKI, Sven has been instrumental in more than 20 international projects. His guest lectures at various institutions, such as DHBW Heilbronn and TU Berlin, reflect his dedication to share knowledge and inspire future AI aficionados. With a patent to his name, myriad successful research stints, and an innate understanding of the innovation cycle, Sven epitomizes the blend of theory and practice in AI.
In essence, Sven’s career paints a vivid portrait of scholarly depth, entrepreneurial spirit, and an unwavering commitment to advancing the AI frontier.
Conrad Schlenkhoff’s trajectory in the digital landscape intertwines a strategic mindset with a deep commitment to practical execution, notably in leadership and change management roles. As the COO of an intelligent mobility software start-up, he gained firsthand experience in bridging visionary ideas with tangible, AI-enhanced applications. His previous roles at Oetker Digital and Hubert Burda Media equipped him with a multifaceted perspective, balancing operational rigors with the ever-evolving challenges of technological innovation and organizational transformation.
On the academic front, Conrad has consistently sought depth and breadth. He earned an Honours Degree in Technology Management from the Center for Digital Technology and Management (CDTM) and pursued a Master’s in Business Administration from LMU Munich. Additionally, he enriched his academic insights with selected MBA courses and a research stay at Columbia Business School. Above all, Conrad is a bridge between strategy and execution, with a deep understanding of AI’s evolving role in the digital era.
His diverse experiences make him an excellent communicator, able to moderate and guide discussions with insight and nuance.