AI Implementation & Local Model Deployment
The one-week AI internship enables participants to deploy and test local AI models, develop effective prompts, create web applications with AI-assisted HTML, CSS, and JavaScript, process images and videos using AI tools, and integrate AI components into existing IT systems while applying data privacy and security principles.
Duration: 1 Week
Projekt Korrekt e.V. – host organisation for Erasmus KA1 projects
As a host organisation, Projekt Korrekt e.V. welcomes participants from all European countries. In the last 25 years we have gained experience from more than 1500 projects in different professional fields.
We develop model projects in the framework of Erasmus and ESF, also in cooperation with small and medium-sized enterprises in the region of Leipzig and Halle.
We support the mobility of participants in the European Community and the communication between people from all over Europe.
Our project proposal for your stay in Germany:
Title: AI Implementation & Local Model Deployment
Duration: 1 week module
Learning outcomes common to all professions:
- Health and safety at work – complies with health and safety regulations
- Vocational foreign language – improved ability to use a foreign language (English/German) to perform tasks and to formulate short and understandable statements to communicate in the workplace.
- Personal and social competences – has a culturally and ethically sound approach, has increased creativity and consistency in their actions, copes with stress and works in a team.
- Organising work in small teams – increased ability to communicate with colleagues, organise work in a team.
Learning outcomes in the field of AI Implementation:
The student learns/knows
- AI Fundamentals: How generative AI models and Large Language Models (LLMs) function and their role in modern business processes.
- Local AI Infrastructure: How to set up and administer local AI environments (e.g., Ollama, LM Studio) on various operating systems.
- Data Privacy & Security: What to consider regarding data security and privacy when choosing between cloud-based and local AI solutions.
- Prompt Engineering: Which methods are used to design and develop effective prompts to optimize AI output for software and text generation.
- AI-Assisted Development: How to use AI tools to model, simulate, and optimize code for web presenta-tions (HTML, CSS, and JavaScript).
- Software Integration: How to integrate AI-generated components or local LLM APIs into existing IT application systems.
Placement: Projekt Korrekt e.V., Gut Wehlitz