Daten-, KI- und Cloud-Kurse

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Erlerne den Umgang mit kontinuierlichen Datenströmen mithilfe von serverlosen Technologien basierend auf AWS.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn how to approach and win competitions on Kaggle.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Lerne, wie du mit Keras und Python Bilder analysierst, indem du Faltungsneuronale Netze aufbaust, trainierst und bewertest.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

This course covers everything you need to know to build a basic machine learning monitoring system in Python

In this course you will learn to fit hierarchical models with random effects.

Learn to build pipelines that stand the test of time.

In this course youll learn how to perform inference using linear models.

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

Learn how to write recursive queries and query hierarchical data structures.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

In this course youll learn how to leverage statistical techniques for working with categorical data.

Lerne, wie du das Training von LLMs mithilfe von Accelerator und Trainer für verteilte Trainingsprozesse beschleunigst.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.