Price per person
€ 2.450,- (excluding VAT)
Duration of this course
5 days
Course dates
7 - 29 may 2026
9 - 23 june 2026
Artificial Intelligence
In this AI training (IABAC™ accredited), you will learn everything there is to know about Artificial Intelligence (AI) and how to work with it yourself.
The AI training consists of three modules:
- 1-day non-technical AI fundamentals module. In this module, you will learn the background and workings of generative AI, advanced prompting techniques, and how to embed AI into work processes using the low-code tool n8n.
- 2-day Python course for data analysis. Anyone serious about working with AI cannot avoid learning a programming language. Python is the most logical choice. This enables you to unlock the power of AI within business processes and systems.
- 2-day Python machine learning & generative AI training. During this module, you will explore other forms of AI and learn to work with them. For many AI applications, supervised or unsupervised machine learning models that you train yourself remain the logical choice.
In short, we cover the entire spectrum of AI; from classical machine learning algorithms to generative AI (including ChatGPT / DALL·E). Working with the Python programming language also enables you to integrate AI into business applications you already use. If you can do this, you will be able to deliver significant added value to your team or organization.
No prior programming experience is required for this AI training. Upon completion, you will receive an official certificate from this IABAC™ accredited course.
You will learn
- The background and workings of generative AI.
- How to use popular low-code tools such as n8n.
- Advanced prompting techniques to get more out of AI tools than the average user.
- How to build your own AI workflows from a user-friendly low-code interface and discover how to structurally integrate AI into your work processes.
- How to program in Python, focused on AI applications.
- How to build, train, and evaluate machine learning models.
- How to use generative AI via APIs such as ChatGPT and DALL·E.
- How to integrate AI solutions into existing work processes.
- Insight into the possibilities and limitations of AI.
Topics
- Introduction to Data Science & AI
- Python basics: variables, data types, lists, and dictionaries
- Applying logic, methods, and functions in Python
- Working efficiently with large datasets using NumPy
- Cleaning, editing, and analyzing data with Pandas
- Data visualization with Matplotlib
- Introduction to machine learning and overview of algorithms
- Supervised learning: classification
- Supervised learning: regression
- Unsupervised learning and clustering with k-means
- Generative AI including ChatGPT and DALL·E
- Working with AI APIs (OpenAI) via Python
- Model evaluation and optimization: ROC, AUC, confusion matrix, feature engineering, hyperparameter tuning
- Model implementation and maintenance in a production environment
Who should attend?
- You have a profession where many data sources and analyses are involved and you want to broaden your knowledge. For example, in finance, logistics, marketing, ICT, or HR. It is essential that you work in an environment with a lot of data.
- You want to get started with machine learning to make predictive analyses based on data in your organization.
- You are curious about the possibilities of generative AI (including ChatGPT / DALL·E).
Prior knowledge
No specific prior knowledge is required, but it is helpful if you have basic knowledge of mathematics and experience with, for example, Excel files, text files (csv), or databases.
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