2995 Software Development courses in Sheffield delivered Online

If you have already covered the basics of Python in programming, you know it already that it is

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly.

Dive into Python, Pandas, and NumPy, mastering data manipulation and visualisation for a thriving data science career.

Dive into the world of coding! Learn Python from scratch, solve real-world problems, make cool projects. No prior experience needed. Start your coding journey now!

Writing modern web applications with a rich UI can be tedious. Blazor gives us .NET developers the chance to leverage our C# skills and build interactive web UIs. In this course, you will gain the ability to build web applications using Blazor. We will explore setting up your first Blazor application; how to work with an API; how data binding works; how to create components and integrate JavaScript components.

This course starts with the basics of Recurrent Neural Networks (RNNs) with Python and then teaches you how to build them by taking you through various exercises and projects. You will be able to test your skills by completing two exciting projects: creating an automatic book writer and a stock price prediction application.

This course aims to provide a solid foundation for educators to stay current with the latest advancements in AI (ChatGPT) and prepare them to integrate these cutting-edge tools into their everyday teaching practices, transforming the educational experience for both them and their students.

Managing Successful Machine Learning Projects Machine learning projects are a different beast. You have to secure access to the required data, often from multiple siloed sources. You have to switch back and forth between research mode and execution mode. You have to delicately guide data exploration towards a well-defined machine learning objective. You have to align this machine learning objective with your business objectives. You have to ensure that any sensitive data is adequately protected. How do you tame this beast and lead your project to successful completion? In this presentation, Dr. Neeraj Kashyap will share some practical tips for succeeding at machine learning, gained from his years at Google and in healthcare. We will discuss the life cycles of healthy machine learning projects and unhealthy ones so that you can identify impending disasters and avert them before they get out of hand. Throughout the session, we will emphasize data privacy, because no amount of intelligence is worth compromising your users for.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step