Start here and learn how you can get the full power of Azure with your Java apps - use idiomatic libraries to connect and interact with your preferred cloud services, including:

Improve your communication skills for better collaboration. Learn to convey messages clearly, adjust for your audience, and handle difficult conversations in the workplace.

This course covers the important design choices that a data professional must make while leveraging pre-trained models using Transfer Learning. It also covers the implementation aspects of different Transfer Learning approaches in PyTorch.

Learn how to find the best model with automated machine learning (AutoML) and by experimenting in notebooks.

Study the methods of experimental design and personalized recommendations in data science.

This course covers conceptual and practical aspects of building and evaluating machine learning models in a way that uses data judiciously, while also accounting for considerations such as ordering and relationships within data and other biases.

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

Explore two capabilities in the DevOps taxonomy, Continuous Delivery and Continuous Quality.

Explain how a source control system helps manage files goes over the purpose of a source control system, the benefits of using a source control system, between version control and source control, and how software can help you interact with a source control system.

Learn how to interpret the decision-making process of deep neural networks.

This Free Online Course Includes: 4-5 Hours of Learning CPD Accreditation Final Assessment