Developing & Integrating AI Systems

Contents

• This course teaches the structured development of modern AI systems in the corporate context. From the data foundation to productive integration into existing IT landscapes. The focus is on the complete machine learning and AI development cycle.
• Key topics: End-to-end machine learning workflow (from problem definition to deployment)
• Data preparation, data quality and feature engineering
• Selection of suitable model types (classical ML and deep learning. Overview)
• Model training, validation and evaluation
• Fundamentals of training, testing and validation strategies
• Introduction to AI system architectures
• Interfaces between AI models and enterprise systems
• API-based integration of AI components
• Introduction to deployment strategies (cloud, on-prem, edge. Conceptual)
• Model versioning and reproducibility
• Fundamentals of MLOps as an operating model for AI systems
• Quality and risk considerations in AI engineering

Hands-on exercises

• Development of a simple machine learning model (conceptual or tool-based)
• Building an example AI workflow from data ingestion to output generation
• Integration of a model into a simple application (API demo or low-code approach)

Learning objectives

• describe and apply the complete AI/ML development process
• prepare and evaluate data for AI projects in a structured way
• select, train and evaluate basic models
• integrate AI systems into existing IT architectures
• embed simple AI applications via APIs or services
• understand requirements for scalability, maintainability and quality
• classify the role of MLOps in the AI lifecycle

Target audience

• Software developers interested in AI
• Data scientists and data analysts
• IT architects and solution architects
• Technical project leaders
• AI engineers and digitalization managers
• Participants from IC-805-E-03 with a deeper technical interest

Prerequisites

• Recommended (at least one of the following):
• Basic programming knowledge (e.g., Python or a comparable language)
• Understanding of data structures and IT systems
• Not recommended for non-technical business users without a technical background.

Trainer

Nico Burghardt

Trainer, Berater und Coach

Nico Burghardt ist erfahrener Trainer, Berater und Coach mit Schwerpunkt auf digitaler Transformation, KI-Anwendungen und organisationalem Lernen. Er verbindet technisches Know-how mit praxisnaher Didaktik und vermittelt komplexe Inhalte verständlich, strukturiert und mit einem klaren Blick für den Arbeitsalltag der Teilnehmenden.

Nach seinem Motto: „Die einzige Konstante im Leben ist die konstante Veränderung“ begleitet er Veränderungsprojekte umfassend mit dem Fokus auf alle Beteiligten.

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