Understand containerization with Docker, Kubernetes, and OpenShift. Learn how to deploy and manage containerized applications in real-world scenarios.

Discover the essentials of containers, Kubernetes, and OpenShift in this beginner-friendly course. Learn how to manage containerized applications effectively.

Learn to use Pandas and NumPy libraries for data manipulation and analysis in Python.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

In this talk, we'll define the context in which the old batch processing model was born, the reasons that are behind the new stream processing one, how they compare, discover pros and cons, and a list of existing technologies implementing the latter.

This introductory course will teach you how to implement some fundamental data structures and algorithms in C++ from scratch, with a combination of theoretical introduction using slides, and practical C++ implementation code.

Data visualization is often the first step in any type of data analysis. This course will teach you several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib.

In this course, you'll learn the basics of relational databases and how to interact with them.

The self-contained Deep learning course launched by experienced professional engineers and researchers of the AI Summer team.

The self-contained Deep learning course launched by experienced professional engineers and researchers of the AI Summer team.

The self-contained Deep learning course launched by experienced professional engineers and researchers of the AI Summer team.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.