AI Innovation & Python-Based Application Development (m/f/d)

Course overview

The specialist in AI Innovation & Python-Based Application Development designs intelligent software solutions and develops AI applications using Python frameworks. They implement machine learning algorithms, analyze complex datasets, and optimize neural networks. Their core tasks include integrating AI components into existing IT infrastructures, creating prototypes, and continuously developing AI models. The specialist works at the interface between data analysis and application development, conducts code reviews, and documents software architectures. They utilize agile development methods and assess new AI technologies for practical applications. Innovation Management in R&D - Business Model Development and Creative Problem Solving (Business Model Innovation - Business Model Canvas - Design Thinking - Lean Innovation) • Comprehensive understanding of innovation management and its success factors • Effective innovation strategies and business models • Professional management of innovation processes including open innovation • Foster creativity and strategically utilize creativity techniques • Objective evaluation, selection & implementation of promising ideas • Sustainable embedding of innovation management in the company • Successful design of technology-driven innovations, especially with the help of modern technologies Artificial Intelligence - Key Competencies for IT-Supported Applications • Artificial intelligence and its strategic importance for companies • Industry-specific AI application fields and use cases • AI project management with Cross Industry Standard Process for Data Mining and agile methods • Data quality and data governance for AI systems • Legal compliance and ethics according to the European Union AI Act and General Data Protection Regulation • AI technologies and enterprise integration • Organizational development and competency management for AI transformation Software Development with Python - Programming Logic and Basic Concepts • Understanding data processing and hardware - digitization, AI & standards in the technology context • Setting up work environments & securely applying Python syntax - structuring scripts and modules cleanly • Automating programs through logical control - effectively integrating loops into tasks • Utilizing functions and designing programs modularly - integrating practical error handling • Working with file formats and APIs - professionally accessing & processing data sources • Using classes and objects in enterprise applications - creating structured software solutions with OOP • Preparing and visualizing data understandably - creating dashboards for business use cases • Automating classification, clustering & predictions - reflecting on AI use - observing standards & ethics • Practical exercise ------------------------------------------------------------------------------------------------------------------ Work with our career advisors to develop your individual course plan ----------------…

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-01-24T23:00:00.000Z · München · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · München · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Dortmund · Combined Learning