TOP 10 AI (ARTIFICIAL INTELLIGENCE) COURSES IN PORTSMOUTH, UK

In this course, you will learn how to define and differentiate between Artificial Intelligence (AI) and Machine Learning (ML), the philosophies underpinning AI, and how to identify and use appropriate tools to build AI/ML modelling for real-world problem-solving.

This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.

The present, the future and practical applications of Artificial Intelligence. Learn the technical essentials of AI.

The AWS training course and lab cover some important topics in AI, such as image recognition, natural language processing, and speech recognition, and also provide a high-level understanding of AWS’s AI and machine learning services and platforms.

Learn the general principles of AI, its potential implications, and capabilities and how to assess AI products and services from multiple angles.

Gain hands-on experience in using AI to solve problems using Python.This course has been developed to provide a gentle introduction to artificial intelligence for those starting to explore this fascinating field.

Scenarios put you in the position of an engineer on the job. You are dropped into cloud infrastructue that mirrors what you’d find in the workplace. You are challenged to use step by step instructions to build their data pipelines and models, learning by doing.

This beginner online course will show you the basics of AI principles and ethics, and introduce image processing using Machine Learning. Learn about images, data compression, classification and colour detection using Python.

The AI programme’s goal is to advance world-class research into artificial intelligence, its applications and its implications for society, building on the wealth of expertise and knowledge across our academic network.

This course covers AI (emphasizing Machine Learning and Deep Learning) in Automotive Industry. It helps to determine which technology can be (potentially) used in multiple situation in a car: from simple automation, image recognition to autonomous decision making.