From standalone application to AI team: Your path to scalable assistants
Step-by-step guide to developing and networking AI assistants
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Machine Learning Engineer
Deep Dive: The Ecosystem of AI Assistants
- Understand how "assistant teams" work together and function as a target vision.
- Get a comprehensive overview of tools and platforms such as ChatGPT, Copilot, Langdock, Claude, and Gemini for creating AI assistants.
- Be sure to distinguish between assistants, agents, and automations.
Systematically develop use cases
- Analyze typical processes such as the monthly sales report and uncover potential for optimization.
- Identify your biggest "time wasters" and formulate specific use cases for AI assistants.
- Experience how you can efficiently perform requirements analysis with Gemini in a live demo.
Practical workshop I: your first assistant
- Develop your own "meeting minutes assistant" or choose another relevant topic.
- Define precise system prompts and clear instructions for your assistant.
- Put what you have learned into practice right away and create your first specialized assistant in a hands-on exercise.
Practical workshop II: the knowledge base – the assistant's brain
- Select the right documents and formats to build an effective knowledge base.
- Use AI support to create tone of voice guides that enable your assistants to communicate consistently.
- Feed your assistant with relevant knowledge documents and improve its capabilities.
Testing, debugging, and quality management
- Develop practical test scenarios and check the functionality of your assistants.
- Optimize your assistant in real time through live debugging and identify potential improvements.
- Provide other participants with feedback on their assistants and benefit from their comments.
Practical Workshop III: The Assistant Team
- Put together several assistants with different roles, e.g., for research, analysis, or text generation.
- Build a second assistant to complement your team.
Collaboration and implementation
- Share and manage your assistants effectively within your team.
- Discuss strategies for successfully integrating AI assistants into teamwork.
- Develop a roadmap for the next steps and scaling your assistants.
Conclusion and outlook
- Learn how "assistant teams" work together and what potential they can unleash.
- Create a customized roadmap for your own team of assistants.
- Take away concrete strategies and valuable insights that you can implement directly in your everyday work.
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
- You master the process from brainstorming to creating multiple specialized AI assistants.
- You can build and maintain an effective knowledge base for your assistants.
- You recognize the added value of AI assistants for your team, evaluate it, and successfully implement it.
The workshop combines short technical presentations with interactive exercises and group discussions. This allows theory to be put directly into practice.
To participate in the practical exercises, you will need access to an AI platform that allows you to create your own AI assistants. Please check the current terms and conditions of the respective tools in advance, as these are subject to change.
The following free options are currently available:
- Google Geminiwith "Gems" (requires a Google account)
- Claudewith "Projects"
Alternatively, you can use paid tools such as:
- ChatGPT Plus
- Microsoft Copilot 365with Copilot Studio
- long dock
Specialists and managers who want to develop practical skills in creating, managing, and scaling AI assistants—for themselves or their team.
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