Analysing & Advising

As an AI engineer, you investigate a problem before you commit to a model or a design: mapping the field, talking to the people affected, and questioning your data, your sources, and any AI output you rely on. You use that analysis to give clients and teammates well-founded, honestly communicated advice on what to build and why.

Starting Points

Value Proposition — Business and Data Understanding
Machine Learning Canvas — Business and Data Understanding
Data Collection Plan — Business and Data Understanding
Requirement Specifications — Business and Data Understanding
Initial Pitch — Business and Data Understanding
Exploratory Data analysis report — Data Engineering and Preparation
Data Quality Test Suite — Data Engineering and Preparation
Ethical and Impact Assessment — Model Evaluation and Validation
Evaluation Feedback Report — Model Evaluation and Validation
Validation Matrix — Model Evaluation and Validation
Monitoring and Maintenance Plan — Deployment and Maintenance
Final Project Presentation — Deployment and Maintenance

Level 2 Learning Outcome Analysing and Advising

You investigate issues methodically, identify core problems and advise on solutions with clear substantiation. Success criteria:

You start your analysis with a clear research question and a conscious choice for your approach
You demonstrate an inquisitive and critical attitude by questioning the sources you find and AI output
You identify core problems by distinguishing between main and secondary issues and show awareness of the societal context in which the issue is situated
You give convincing advice by using clear, well-substantiated arguments
You consciously adapt your communication to the target group, in both form and language use.

Level 3 Learning Outcome Analysing and Advising

You investigate complex issues methodically, analyse core problems from multiple perspectives and formulate well-founded, convincing advice in which you weigh alternatives and specify consequences. Success criteria:

You independently determine a research approach that fits the issue and adjust it based on what you encounter
You demonstrate an inquisitive and critical attitude by questioning sources, AI results, the problem definition and your own assumptions
You analyse issues from multiple perspectives and consciously weigh societal and ethical consequences
You formulate a well-founded advice in which you weigh alternatives, identify risks and make a substantiated recommendation
You consciously adapt your communication to different target groups with differing interests, in both form and language use.