We can host this training at your preferred location. Contact us!

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behaviour.

The BCS Essentials Certificate in Artificial Intelligence tests a candidate’s knowledge and understanding of the terminology and the general principles.

This course covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.

Please note - the exam for this is taken on the last day of the course and the cost is included with the course fee.

There are no specific pre-requisites for the entry to the course or examination, although a good knowledge of computers and a basic understanding of data using computers (e.g. spreadsheets) is highly recommended.

Learners will be able to demonstrate a basic knowledge and understanding of general concepts in the following areas:

Human and Artificial Intelligence;
The Machine Learning process;
The benefits, challenges and risks of a Machine Learning project;
The future of humans and machines in Work.

Target Audience

The Artificial Intelligence Essentials course is focussed on individuals with an interest in, (or need to implement) AI in an organisation, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.

The following roles could be interested:

Engineers
Scientists
Professional research managers
Chief technical officers
Chief information officers
Organisational change practitioners and managers
Business change practitioners and managers
Service architects and managers
Program and planning managers
Service provider portfolio strategists / leads
Process architects and managers
Business strategists and consultants
Web page developers

Artificial and human intelligence - an introduction and history

General definition of human and Artificial Intelligence (AI)
Learning from experience and how it relates to Machine Learning (ML)
ML and Growth of AI

Opportunities for an AI system

Examples of AI – benefits, challenges and risks

Benefits of AI
Challenges of AI
Risks of AI
Funding sources for AI projects
Opportunities for AI

Machine Learning

AI intelligent agent description
Examples of Machine Learning
AI capability useful in ML and AI agents’ functionality
Examples of forms of Machine Learning

Maturity and funding of an AI system

The future of artificial intelligence – human and machine together

AI driving humans and machines to work together
Future directions of humans and machines working together

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

31 May 2024