Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

As a developer, you are generally part of the data integration scenarios during and after a finance and operations apps implementation. This module explores web application programming interfaces (APIs) that are available for finance and operations apps and will help you understand the key differences between synchronous and asynchronous integrations for the application.

Do you want to learn about table types in Business Central? In this module, you'll learn about the different functional table types and their specific characteristics, such as special fields, properties, and linked pages.

In this module, you learn about CodeQL and how you can use it to analyze the code in your GitHub repository and identify security vulnerabilities.

Understand identity and access management concepts for securing systems and data access.

Learn how to structure and use algorithms to solve real life problems.

Learn the best way to structure and represent data.

Learn how to write correct and efficient data structures manipulation using existing standard template library (STL) of C++. Get introduced to the power of STL and make your code more solid, reusable, and robust.

Learn the principles of programming for building large and extensible systems.

Learn basic computer programming skills and master the art of writing C/C++ programs to solve real world problems.

Learn the basics of practical image processing techniques in MATLAB.

Learn practical image processing workflows in MATLAB.