Introduction to Artificial Intelligence and Machine Learning

Gain an understanding of generative AI

What are the future ready skills you need to take your first steps towards your artificial intelligence career?

With a mix of engaging lectures and hands-on activities, this self-paced course will provide you with an overview of AI, how it will define the next generation of software solutions and how it can be applied to real-world platforms.

You’ll discover how AI can be used to build smart apps that help organisations become more efficient and that enrich people’s lives. You’ll learn how machine learning can be used to extract meaning from natural language, and build predictive models for AI.

You’ll also learn about the influence of generative AI and chatbots like ChatGPT. You’ll gain the skills you need to create your own chatbots enabling conversational communication between humans and AI systems.

Understanding computer algorithms: how does machine learning work?

Machine learning is an application of AI that gives computer systems the ability to learn and improve automatically from experience without being programmed explicitly.

You’ll explore all aspects of machine learning computer algorithms as the foundation of AI. You’ll also learn how AI applies machine learning, along with deep learning and other techniques, to solving real-world problems.

Learn how conversation-as-a-platform is creating AI chatbots of the future

How does artificial intelligence work to build better conversational user interfaces (CUIs), and how is conversation-as-a-platform (CaaP) providing new ways to interact directly with companies, important data and key services?

The course will teach you how a new generation of chatbots are providing richer, more personalised – and more human-like – experiences.

This course is ideal for, but not limited to, individuals with a basic knowledge of programming (Python would be an advantage, but is not essential) and those who have studied maths and statistics at a high-school level.

Those with a willingness to learn through exploration and perseverance should also consider applying.

This course is ideal for, but not limited to, individuals with a basic knowledge of programming (Python would be an advantage, but is not essential) and those who have studied maths and statistics at a high-school level.

Those with a willingness to learn through exploration and perseverance should also consider applying.

• Explored, prepared and cleaned data
• Applied supervised machine learning techniques
• Applied unsupervised machine learning techniques
• Modeled performance improvement