Special Notices

Please note: Due to the current situation with Covid 19 the BCS are offering remotely proctored online exams for all candidates. Once registered you will receive a confirmation email directly from the BCS. This email will reference a provisional exam location, date and time and should not be mistaken for a confirmed session.

You will receive a further email from Questionmark (within 48 hours). It is at this stage that you will be provided access to the live calendar to enable you to schedule your exam session.

***Please note that due to the current high demand for online exams, there may be limited time slots available. If you are unable to book your preferred timeslot QuestionMark advise contacting them directly via their live online chat to discuss alternate dates***

Overview

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.

Prerequisites

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.

Delegates will learn how to

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

Outline

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

Azure Learning Paths

Want to boost your career in Azure? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

= Required
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Data Scientist
Data Engineer
Developer .NET Experience
Architect Enterprise Architecture Experience
Administrator DevOps Windows Administration Experience
Administrator Security Windows Administration Experience
Administrator Architect Windows Administration Experience
AI Engineer

Data, Analytics and AI Learning Paths

Want to boost your career in Data, Analytics and AI? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

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