Good data is central to effective AI applications. This course teaches the basics of data for AI, covering what data is needed, how to extract data from existing databases and basic data skills including setup of a Python notebook environment, basic data exploration and simple data visualizations.

How do populations grow? How do viruses spread? What is the trajectory of a glider? Introduce yourself to the modelling cycle which includes: analyzing a problem, formulating it as a mathematical model, calculating solutions and validating your results.

Explore web development using Deno, learning its features and how to build efficient web applications.

Deploying Spring Boot applications has never been easier. This course will teach you the essential strategies and best practices for deploying Spring Boot 3 applications

Learn how to deploy and manage web applications on Heroku, covering best practices for cloud hosting.

The course is organized into four parts: Getting Started, The Design Phase, The Build Phase, and The Release Phase.

Explore the principles and practices of designing effective and efficient computer programs.

Creational design patterns lie at the heart of object-oriented programming. This course will teach you how to leverage the creational design patterns and SOLID principles in C++ in order to create well-designed systems.

This course will teach you how to use proven object-oriented design patterns to significantly enhance the stability, testability, and maintainability of your Python development while decreasing your development time.

Learn to design robust systems in Elixir using the OTP framework, focusing on fault tolerance and scalability.

The course enables the engineers/data scientist to build and deploy machine learning models into the Azure cloud, just by using Azure CLI commands.

Learn how to design and implement RESTful APIs for web applications, focusing on best practices and standards.