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Artificial Intelligence (AI) Foundation Online (30 Days) Training Course

AI Foundation Certification Is The Start To Your Career In AI And Machine Learning

Proctored Exam
30 Days Access
£395 (Excl. VAT)€454 (Excl. VAT)$494 (Excl. VAT)


The BCS accredited course from the Artificial Intelligence Foundation is our latest AI training course. This certification incorporates the building blocks of understanding AI to develop a portfolio using your newfound understanding of machine learning. It demonstrates how AI can be used for business and engineering and the benefits it can bring to your company.

You will explore AI and technological requirements to develop a machine learning portfolio and continue with self-study beyond the scope of this course.

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Payment Details

Full payment is required before your elearning order can be processed. Once payment has been confirmed, the elearning order will be passed to our administration department for set-up and processing.

Access to Your E-Learning

A personal login for our Learning Management System will be created for you and you will receive an email containing details of the URL, username and password.

Please Note

* Depending on when the initial order is taken, it may take up to 48 hours to process.
* Your course access time will only trigger and commence when you first log in.

Course Outline

Syllabus & Learning Objectives

1. Ethical And Sustainable Human And Artificial Intelligence (25%)

After this section of the AI Certification course is complete, participants will gain an understanding of the following:

  • Recall the general definition of Human Intelligence and Artificial Intelligence
  • Make parallels between ‘learning from experience’ and Machine Learning (ML) via Tom Mitchell’s definition
  • Understand that ML is a significant contribution to the growth of AI
  • Describe how AI is part of Universal Design and The Fourth Industrial Revolution
  • Describe a modern approach to human logical levels of thinking using Robert Dilts’ Model.
  • Describe the three fundamental areas of sustainability.

2. Applying The Benefits, Challenges, And Risks of Machine Learning (30%)

At the end of this section, participants have completed over half of the course material. By now, and in combination with what they’ve learned in the previous section about AL and ML, they will be able to apply and understand the following:

  • Explain the benefits of Artificial Intelligence
  • list advantages of machine and human-machine systems
  • Describe the challenges of Artificial Intelligence
  • general examples of AI limitations compared to human systems
  • general ethical challenges AI raises
  • Demonstrate understanding of the risks of Artificial Intelligence
  • give at least one general example of the risks of AI
  • Identify a typical funding source for AI projects
  • List opportunities for AI
  • Describe how sustainability relates to AI and how our values will drive use of AI and change our society.

3. An introduction To Machine Learning Theory And Practice (35%)

At the completion of the section of the AI Foundation training course, participants will be able to apply their knowledge from the previous sections and understand the following:

  • Demonstrate an understanding of the AI intelligent agent description
  • Identify the differences between AI and ML
  • List the four rational agent dependencies
  • Describe agents in terms of performance measure, environment, actuators, and sensors
  • Describe four types of agent: reflex, model-based reflex, goal-based, and utility-based
  • Give typical examples of Machine Learning in the following contexts
    • business,
    • social (media, entertainment),
    • science.
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality
  • Recall the basic theory of ML
  • Describe the basic schematic of a neural network
  • Know how to build a practical Machine Learning Toolkit

4. The Management, Roles And Responsibilities Of Humans And Machines. (10%)

Completing this section finalises the participant’s understanding of all aspects required to pass the AI Foundation Certification course. In this final section, participants understand:

  • Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together
  • List future directions of humans and machines working together
  • Describe a ‘learning from experience’ Agile approach to projects
  • Describe the type of team members needed for an Agile project


You will gain knowledge of AI, ML, and neural networks and will be able to apply it to your current or future careers.

If you have any questions about purchasing this AI online training package or would like some tips about learning from home, then you can have a chat with one of our friendly course advisors on +44 (0)1539 736 828 or email and they will be able to help you straight away.

About the Course

The AI Foundation online training course builds upon the basic knowledge of AI. This online training program will help you go from a basic understanding of AI to the creation of your own AI product.

Who Should Attend

The Artificial Intelligence Foundation online training course is focused on professionals internationally with an interest in, or a need to implement AI in an organisation. Professionals working in areas such as Science, Engineering, Knowledge Engineering, Finance, or IT services.

The following roles should 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
  • AI Project Managers
  • Service Provider Portfolio Strategists / Leads
  • Process Architects and Managers
  • Business Strategists and Consultants
  • Web Page Developers

Materials Provided

This brand new Artificial Intelligence (AI) Foundation online training course includes:

  • Artificial Intelligence Quizzes
  • Artificial Intelligence Exercises
  • The Official Artificial Intelligence Foundation Syllabus
  • BCS Artificial Intelligence (AI) Foundation Sample Exam

Organisational Benefits

Organisations will benefit from the AI Foundation training course by:

  • Having staff that are aware of the capabilities of AI and how it can contribute to organisational success
  • Compete in an advanced technological future
  • Use AI to increase efficiency and reduce costs

Individual Benefits

  • Having an up-to-date understanding of AI
  • Being able to identify opportunities to apply AI solutions
  • Being able to position themselves to take advantage of increased technology

Technical Requirements


  • Screen Resolution: 1020 x 768 or above
  • Network/Internet Connection: 4Mb (megabits) or above
  • Windows XP or higher
  • Microsoft Internet Explorer 6+
  • Firefox 3+
  • Safari 4+


  • Screen resolution: 1020 x 768 or above
  • Network/Internet connection: 4Mb (megabits) or above
  • Mac OS X 10 or higher
  • Firefox 3+
  • Safari 4+

Purple Griffon advise you that you use the Firefox Web Browser for the best educational experience and have compatible speakers or headphones.

Please Note: You will be required to have some form of photo ID (passport, government ID or equivalent) for the examination. If the examination includes a document to be printed, then please ensure that you have a printer in the room where you will be sitting the exam. Some examination institutes will ask you to have a small mirror or reflective surface and the proctor will request that you hold this up to show there is nothing attached to the webcam or even the laptop itself. Also, Adobe Flash Player and Shockwave must also be installed on your desktop or laptop prior to the examination.

For a successful AI Foundation online exam, you will need:

Web Camera640×480 resolution1280×720 resolution
PC UsersWindows XPWindows 7
Mac UsersMac OS X or higherMac OS X 10.7 Lion
Internet Download Speed.768 Mbps1.5Mbps
Internet Upload Speed.384 Mbps1.5Mbps


There are no entry-level requirements for the BCS Artificial Intelligence (AI) Foundation training course, all of the information that is required to pass the examination is included in the courseware.


The AI Foundation online training course does not require any existing knowledge of AI.

Exam Overview

The examination consists of 40 multiple-choice questions and has a duration of one hour. In order to pass the examination, you must score 26/40. The examination is an online proctored exam conducted by BCS.

Exam Type

Proctored Exam

Professional Development Units - PDU's

There are no formal Professional Qualification Credits attached to the AI Foundation online training package.


BCS Artificial Intelligence (AI) Foundation Certificate

Next Steps

The full BCS Artificial Intelligence Course Framework is set out below.

ai pathway


We hope that you have enjoyed our AI training courses and that they added value to your career and prospects. If you wish us to add anything to the portfolio, please let us know.