Data-, AI- och molnkurser

• AvanceradFärdighetsnivå
• 4.4+
• 3.4K

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

• AvanceradFärdighetsnivå
• 4.6+
• 2.8K

Learn how to implement and schedule data engineering workflows.

• AvanceradFärdighetsnivå
• 4.7+
• 2K

Learn the fundamentals of working with big data with PySpark.

• AvanceradFärdighetsnivå
• 4.5+
• 2K

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

• AvanceradFärdighetsnivå
• 4.5+
• 1.7K

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• AvanceradFärdighetsnivå
• 4.6+
• 1.6K

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

• AvanceradFärdighetsnivå
• 4.7+
• 1.6K

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

• AvanceradFärdighetsnivå
• 4.5+
• 1.4K

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

• AvanceradFärdighetsnivå
• 4.5+
• 1.3K

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

• AvanceradFärdighetsnivå
• 4.4+
• 1.3K

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

• AvanceradFärdighetsnivå
• 4.6+
• 1.2K

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

• AvanceradFärdighetsnivå
• 4.5+
• 1.1K

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

• AvanceradFärdighetsnivå
• 4.5+
• 1.1K

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• AvanceradFärdighetsnivå
• 4.7+
• 938

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

• AvanceradFärdighetsnivå
• 4.7+
• 893

This course focuses on feature engineering and machine learning for time series data.

• AvanceradFärdighetsnivå
• 4.6+
• 867

Learn how to clean data with Apache Spark in Python.

• AvanceradFärdighetsnivå
• 4.7+
• 862

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

• AvanceradFärdighetsnivå
• 4.6+
• 844

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• AvanceradFärdighetsnivå
• 4.7+
• 823

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

• AvanceradFärdighetsnivå
• 4.7+
• 775

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• AvanceradFärdighetsnivå
• 4.5+
• 775

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

• AvanceradFärdighetsnivå
• 4.5+
• 700

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

• AvanceradFärdighetsnivå
• 4.6+
• 685

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

• AvanceradFärdighetsnivå
• 4.7+
• 579

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• AvanceradFärdighetsnivå
• 4.7+
• 569

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

• AvanceradFärdighetsnivå
• 4.7+
• 533

Prepare for your next coding interviews in Python.

• AvanceradFärdighetsnivå
• 4.7+
• 532

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

• AvanceradFärdighetsnivå
• 4.4+
• 493

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

• AvanceradFärdighetsnivå
• 4.7+
• 482

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

• AvanceradFärdighetsnivå
• 4.7+
• 470

Learn about ARIMA models in Python and become an expert in time series analysis.