In this six-day training course, you’ll learn step by step how artificial intelligence works and how to build simple AI applications on your own. You’ll start with the basics of Python and, over the course of six hands-on days, work your way up to independently analyzing data, visualizing insights, building machine learning models, and applying existing AI models via Hugging Face. No programming experience required—just a laptop and a sense of curiosity. At the end, you’ll present your own final project: from raw data to clear insights.

What you learn

• Programming in Python: variables, functions, loops, conditions, and lists.
• Importing, exploring, filtering, and cleaning data with Pandas.
• Visualizing data with bar charts, line graphs, and histograms.
• Presenting trends, correlations, and data insights in an understandable way.
• The basics of machine learning: training and test data, building and evaluating models.
• Applying existing AI models via Hugging Face for text analysis and sentiment analysis.
• Completing a full data and AI workflow: from raw data to presented results.

Contents (General Program)

Day 1 – Getting Started with Python

• Working in Jupyter Notebook, variables, functions, lists, loops, and conditions.
• Hands-on assignment: Programming a simple point-of-sale system

Day 2 – Working with Data in Python

• Importing and exploring data with Pandas, filtering, grouping, summarizing, and exporting.
• Hands-on assignment: Analyzing and cleaning a real-world dataset.

Day 3 – Visualizing and Interpreting Data

• Creating bar charts, line graphs, and histograms; visualizing trends and correlations.
• Hands-on assignment: Transforming data insights into understandable visualizations.

Day 4 – Introduction to Machine Learning

• Understand the difference between traditional programming and machine learning, and use training and test data.
• Hands-on assignment: Build and evaluate a simple ML model.

Day 5 – Applying AI with Hugging Face

• Work with pretrained models, perform text analysis, and interpret model output.
• Hands-on assignment: Perform sentiment analysis on real text data.

Day 6 – Final Project: From Data to Insights

• Combine all knowledge: analyze data, select and apply an AI model, and present results.

• Anyone who wants to learn how AI and data work: from professionals with a vocational education to college graduates without a technical background.
• Professionals who want to learn how to work with data and AI in a practical way without any programming experience.
• Data analysts, BI specialists, and knowledge workers who want to expand their skills into machine learning and AI.

Prerequisites

• No programming experience required.
• A laptop with an internet connection is all you need: all necessary software is open source and will be installed during the course.