In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem.

Explore various strategies and techniques for monetizing mobile applications effectively.

This course will teach you the fundamentals needed to start using Appium and write well-maintainable automated UI tests for Windows, Android, and IOS applications.

This is the next step of your journey as a security professional. In this course, you'll learn how to hunt for vulnerabilities and hotspots based on MITRE's ATT&CK framework using SonarQube.

Application lifecycle management (ALM) is important as the applications your organization builds becomes more complex and as more of your company depends on their stability. ALM is not a one size fits all concept, it can vary from organization to organization and even within based on the type of solution being built. This learning path can help you with ALM best practices.

Learn to implement machine learning algorithms to real world life sciences problems

Learn machine learning and implement practical algorithms using R programming

Apply deep learning techniques to real-world industry problems and build machine learning solutions.

Solve real-world industry problems using machine learning and TensorFlow through hands-on case studies.

By optimizing your development for performance, you can ensure that your work is useful and appreciated by users. As a finance and operations apps developer, you should understand how your designs can be properly optimized for performance.

Learn Python for Natural Language Processing, the field behind chatbots, search engines, and autocorrect.

Discover how to effectively apply Agile methodologies to large teams and projects, focusing on scaling Agile practices for better collaboration and delivery.