Customizing AI Tools for Administration: Advanced Course
Design the Digital Office: Customize and Automate AI Tools.
The future of public administration lies beyond mere interaction with AI—it lies in the ability to tailor AI tools precisely to specific organizational needs. This two-day advanced course from the TU Berlin Academy empowers professionals to evolve from mere users to architects of their own digital solutions.
You’ll explore the potential of Python-based AI applications and discover “Vibe Coding”—the revolutionary approach to creating software and automated workflows using natural language. Whether it’s developing customized AI agents for research or integrating intelligent tools into existing organizational structures, this course will give you the technical confidence to drive digital transformation from the inside out.
Course Content
Introduction to Python for AI-Powered Applications
- What is Python, and why is it used so often in AI?
- Basic programming concepts
- Variables and data types
- Simple functions
- Working with text and data
- Using Python libraries for AI
- Running simple Python scripts
Learning Goals
- Use AI tools to assist with document creation, information processing, and organizational communication.
- Understand the concept of AI-assisted software development (Vibe Coding).
- Identify opportunities for the responsible integration of AI into organizational workflows.
- Recognize ethical, legal, and governance-related aspects associated with the use of AI.
Participation & Requirements
- Target Group
-
This course is intended for: project managers, policy analysts, managers and team leaders, public sector employees, and administrative staff.
- Prior Knowledge
-
No prior knowledge of programming, computer science, or AI is required.
- Technical requirements
-
For the hands-on sessions, you must have your own laptop with administrator privileges (to install specific programs).
- Certificate Details
-
Upon successful completion, you will receive a certificate of completion from the TU Berlin Academy.
This course is recognized under Section 10(5) of the Berlin Educational Leave Act (BiZeitG).
Instructors
Prof. Dr. Hamid Mostofi is a professor of data science and artificial intelligence at SRH Berlin University of Applied Sciences and a senior researcher and project manager at TU Berlin, focusing on the application of AI in business and socioeconomic contexts.
His research interest lies in the application of data science techniques and artificial intelligence to sustainability concepts, taking into account social acceptance, perception, and attitude, as well as socio-economic factors.
He completed his PhD at TU Berlin with the grade "Summa cum laude." During his PhD, he worked as a research assistant at TU Berlin and was involved in the projects by the Federal Ministry for the Environment (BMU) and Federal Ministry for Economic Affairs and Climate Action (BMWK).
Currently he is the work package leader of MDZT (Mittelstand-Digital Zentrum Tourismus) funded by Federal Ministry of Economic Affairs and Energy BMWE since 2024 which is working on empowering SMEs by application of AI and digitalisation in Germany. Also. he wasthe visiting researcher by the University of California, Berkeley (UC Berkeley).
University-based continuing education, designed for real-world application
Our courses are developed within the academic departments of TU Berlin and are taught by people who conduct research and work in their respective fields.
The content is drawn from research topics at TU Berlin and beyond and is presented in high-quality course formats.
Apply your knowledge directly in the course and explore your professional challenges and questions.
A certificate of participation from the Technical University of Berlin, a University of Excellence within the Berlin University Alliance.
Recognized as educational leave in Berlin. Employees are granted up to 5 days off from work for continuing education.
„After two days, I had templates that my team had been using for months. That was the first training program that had a direct impact on our day-to-day work.“