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BCS Foundation Award - Knowledge Based Systems Training Course

Get To Know About Knowledge-Based System And How They Complement Machine Learning


BCS Membership Offer: If you do not hold a BCS certification and successfully pass the examination for this training course - you will be given one year's complementary BCS Membership. This offer is only valid for your first BCS qualification.

The BCS Foundation Award - Knowledge Based Systems is designed for anyone wishing to gain an understanding of the principles of Knowledge-Based Systems and how they can be used to complement other AI technologies such as Machine Learning.

Knowledge-Based Systems are designed to capture human expertise in order to enable AI applications to make intelligent decisions.

Through completion of this award candidates will have the ability to recognise Knowledge-Based Systems, gain an understanding of how they work, and consider how they can add value to an organisation. This award will also enable candidates to understand the concept of Uncertainty and Fuzzy Logic, and how Knowledge-Based Systems can be used to help organisations to make decisions and act where there is higher level of uncertainty.

Please Note

You can book this course and hold it in credit until you have decided on a specific course date. Alternatively, please view our other course dates.
Exam Included
3 Days
£1095Excl. VAT

Course Syllabus

1. Introduction To Knowledge-Based Systems

You will be able to:

1.1 Describe how a Knowledge-Based System works and its role within an AI solution

1.2 Explain the difference between knowledge-based intelligence and computational intelligence

1.3 Explain how a Knowledge-Based System complements Machine Learning.

1.4 List examples of Knowledge-Based Systems.

2. Rules

You will be able to:

2.1 Explain the use of rules within a Knowledge-Based System.

2.2 List examples of statements used within rules.

2.3 Explain the difference between forward chaining and backward chaining

2.4 Discuss why you might make use of AI to create a digital ecosystem as a driver or enabler.

3. Case-Based Reasoning

You will be able to:

3.1 Describe the use of case-based reasoning

3.2 List the stages of case-based reasoning.

4. Uncertainty

You will be able to:

4.1 Explain the concept of uncertainty in Knowledge-Based Systems.

4.2 Describe the use of Fuzzy Logic.

5. The Inference Engine

You will be able to:

5.1 Explain the role of the Inference Engine.

5.2 Describe how the inference engine uses rules to derive facts.

5.3 Describe knowledge-based systems in relation to intelligent agents

Learning Outcomes

This award sits within the Machine learning And Other AI Techniques area of the AI Foundation Pathway offering you core knowledge and a defined progression route to a technical career in AI.

You'll learn about:

  • An introduction to knowledge-based systems
  • Rules of knowledge-based systems
  • Case-based reasoning
  • Uncertainty
  • The inference engine

Who Should Attend

  • Digital professionals who need to build their technical knowledge in AI or gain insight into an individual component
  • Those aiming to move into a career working with artificial intelligence
  • Individuals with an interest in AI and a background in science, engineering, knowledge engineering, finance, education or IT services

What's Included

  • BCS Foundation Award - Knowledge Based Systems Materials
  • BCS Foundation Award - Knowledge Based Systems Examination

Entry-Level Requirements

There are no specific entry requirements for this award. However, some professional experience in a business or IT environment may be advantageous.

Recommended Reading

The following titles are suggested reading for anyone undertaking this award. You should be encouraged to explore other available sources.

Title: Knowledge-Based Systems

Author: Rajendra Akerkar, Priti Sajja

Publisher: Jones & Bartlett Learning, 2010

Publication Date: 30th Aug 2010

ISBN: 0763776475, 9780763776473

Exam Information

Type: 18 Multiple Choice Questions, 1 Scenario Based Question

Duration: 30 Minutes

Supervised: Yes

Open Book: No (no materials can be taken into the examination room)

Passmark: 13/20 (65%)

Delivery: Digital Format Only.

Exam Type

Proctored Exam


BCS Foundation Award - Knowledge Based Systems

Additional Information

You will get to know about knowledge-based systems: what they are; how they work; how they complement machine learning; and how they deal with uncertainty, so you’re able to recognise when and where they add value.

BCS Foundation Award - Knowledge Based Systems Course Dates

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