Software Developer for AI Systems (m/f/d)

Course overview

The software developer for AI systems designs, develops, and implements intelligent applications using machine learning and data science. They program in Java and other programming languages, optimize algorithms for data analysis, and work on improving AI models. Their tasks include data preparation, training neural networks, and integrating AI components into existing systems. They collaborate closely with departments, evaluate solutions, and document their developments. Additionally, they stay informed about current developments in the AI field. Data Science & AI - Data Analysis and Decision Support through Intelligent Systems • Strategic use of AI and Data Science - Future trends and application potentials • Managing and preparing data sources - Structuring and automating data flows • Practically applying Data Science tools - Technologies and frameworks in use • Developing and analyzing data models - From EDA to predictive forecasts • Targeted use of AI models - Recognizing patterns, finding anomalies, utilizing deep learning • Strategically using data-driven decisions - Real-time analyses and business impact • Effectively presenting analysis results - Data storytelling for decision-makers • Working with data fairly, transparently, and in compliance with the law - GDPR and explainability in practice • Overcoming pitfalls in data practice - Promoting data culture and acceptance • Successfully measuring and managing data projects - Optimization through feedback and KPIs 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 Object-Oriented Software Development - Programming in C/C++ and Java • Programming languages C, C++, and Java - Syntax, IDEs, and version control • Object-oriented programming - Structures and design principles • Data structures and algorithms - Performance and optimization • Test-driven development and quality assurance • Development models and software architecture • User interfaces and system integration • APIs and modern system connectivity Software Development with Python - Programming Logic and Basic Concepts • Understanding data processing and hardware - Digitalization, 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 modular programs - Practically integrating error handling • Working with…

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Heidelberg, Neckar · Combined Learning