Practical introduction to artificial intelligence with Python

Would you like to understand how artificial intelligence really works – and apply it immediately in Python? Then our workshop is just right for you!

Training objective

You will learn the basics of machine learning and deep learning in easy-to-understand steps, from data preparation and feature engineering to model training with scikit‑learn and TensorFlow/Keras. You will then be able to create your first classification or regression model.

Target audience

  • Python developers who want to expand their portfolio

  • Analysts who want to make data-driven decisions

Course content

  • Day 1

    • Introduction to artificial intelligence

    • Supervised learning

    • Regression

  • Day 2

    • Unsupervised learning

    • Classification

    • System overview of training, testing, inference and CI/CD

    • Use Case Churn Prediction

  • Day 3

    • Data and model drift

    • Introduction to reinforcement learning

      • Markov decision processes

      • Value-based methods – Q-learning

  • Day 4

    • Introduction to generative AI

      • Concepts and fundamentals

      • Ensemble methods

      • Infrastructure and architecture for GenAI

      • Introduction to LLMs

      • Generative AI and agents

What we offer

In these regular in-house and online seminars, we focus precisely on your needs. We coordinate the content with you in advance. We will be happy to provide you with a customised offer for such a subscription.

Your advantages:

Price:

from 3.840 € (plus VAT)

Get in touch

Do you have a question that is not answered here? Veit will be happy to answer your questions and create a customised offer for your training.

Portrait Veit Schiele

Veit Schiele

Mail

Phone