AI Prompt & Python Specialist (m/f/d)

Course overview

An AI Prompt & Python Specialist (Data Science / Prompt / Computer Science) designs efficient prompts for AI systems and develops Python-based solutions in the field of Data Science. They analyze data structures, optimize algorithms, and improve the interaction between humans and AI through precise prompt formulation. The specialist implements machine learning models, automates data processing processes, and integrates AI functionalities into existing systems. Additionally, they document code structures and advise on the development of AI applications through interdisciplinary expertise in computer science and linguistic foundations. Data Science & AI - Data analysis and decision support through intelligent systems • Strategic use of AI and Data Science - Future trends and application potentials • Manage and prepare data sources - Structure and automate data flows • Apply Data Science tools in practice - Technologies and frameworks in use • Develop and analyze data models - From EDA to predictive forecasts • Purposeful use of AI models - Recognize patterns, find anomalies, utilize deep learning • Strategically use data-driven decisions - Real-time analyses and business impact • Effectively present analysis results - Data storytelling for decision-makers • Work fairly, transparently, and in compliance with data regulations - GDPR and explainability in practice • Overcome pitfalls of data practice - Promote data culture and acceptance • Successfully measure and manage data projects - Optimization through feedback and KPIs Prompt Engineering & AI Interaction - Application of language models in computer science • Build competence in AI & prompt engineering • Structured prompt design and prompt types • Practical application in text generation, communication & marketing • Prompt engineering for data analysis, tables & automation • Image generation, code generation & multimodal applications • Optimization, ethics & quality assurance in prompt engineering Software Development with Python - Programming logic and fundamental concepts • Understand data processing and hardware - Digitalization, AI & standards in the technology context • Set up working environments & confidently apply Python syntax - Structure scripts and modules cleanly • Automate programs through logical control - Effectively integrate loops into tasks • Utilize functions and design programs modularly - Integrate error handling in practice • Work with file formats and APIs - Professionally access and process data sources • Use classes and objects in enterprise applications - Create structured software solutions with OOP • Prepare and visualize data understandably - Create dashboards for business use cases • Automate classification, clustering & predictions - Reflectively use AI - Observe standards & ethics • Practical exercise ------------------------------------------------------------------------------------------------------------------ Work with our career advisors to develop your indi…

Upcoming dates

• 2026-09-20T22:00:00.000Z · 2026-12-10T23:00:00.000Z · München · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning
• 2026-09-20T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Heidelberg, Neckar · Combined Learning