87 AI (Artificial Intelligence) courses delivered Online

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.

Thinking about learning Big Data? The Big Data for Business course teaches learners to understand how to manage Big Data and its use with Machine Learning. 93% off until August 31 2024.

Thinking about learning more about the data you are using in your job and how to present this? The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

This course will transform you from someone who has never thought of coding a website to someone who can create a professional website in an hour using ChatGPT. If you are already a web designer, this will exponentially enhance your productivity. What would take days of work by a professional can now be done by any individual in just a few hours.

Dive into the revolutionary world of AI image generation with our Mastering Dall-E course. From understanding diffusion models to harnessing Dall-E for creative and commercial use, this course offers a comprehensive guide to mastering this cutting-edge technology.

Unleash the power of Artificial Intelligence in your business leadership. Discover how AI reshapes business models, explore the potential of Generative AI, and build a robust, future-ready AI strategy with our expert-led course.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.