Applied AI with Python¶
Gain a practical understanding of machine learning, deep learning and large language models, and learn how to apply them.
Training objective¶
By the end of the seminar, participants will be able to classify and apply basic methods of artificial intelligence in practice. They will have a conceptual understanding of how machine learning and deep learning models work and how modern LLM-based systems are structured.
Participants will be able to implement simple AI applications using Python, analyse data and select suitable models. Furthermore, they will be able to understand typical AI systems conceptually and apply them to their own use cases.
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:
📈 Coordinated content:
💁 Personal preliminary discussion
🤝 Customised content
📖 Training documents
📃 Certificate
🧑💻 Trainers from the field
🫴 Mentoring and 1:1 coaching
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.
