BCS Artificial Intelligence (AI) Foundation Training

You will cover the following topics on our Artificial Intelligence (AI) Foundation training course:

Syllabus & Learning Objectives

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

After this section of the Artificial Intelligence (AI) Foundation training course is complete, you 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, you will have completed over half of the course material. By now, and in combination with what you’ve learned in the previous section about AL and ML, you 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 the use of AI and change our society.

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

After this section of the Artificial Intelligence (AI) Foundation training course is complete, you will be able to apply your 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 your understanding of all aspects required to pass the Artificial Intelligence (AI) Foundation certificate. In this final section, you will 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

The target audience for our Artificial Intelligence (AI) Foundation training course is comprised of individuals with an interest in (or need to implement) AI in an organisation. We specifically target and attract those working in areas such as science, engineering, knowledge engineering, finance, or IT services.

Below is a list of roles who would benefit most from taking this course, though anyone interested in AI is welcome:

• Engineers
• Scientists
• Professional Research Managers
• Chief Technical Officers
• Chief Information Officers
• Organisational Change Practitioners & Managers
• Business Change Practitioners & Managers
• Service Architects & Managers
• Program & Planning Managers
• AI Project Managers
• Service Provider Portfolio Strategists / Leads
• Process Architects & Managers
• Business Strategists & Consultants
• Web Page Developers
• AI Researchers
• AI Engineers
• AI Data Analysts
• Data Scientists
• Machine Learning Engineers
• Deep Learning Engineers
• Robotics Scientists
• Big Data Engineers
• Business Intelligence Developers
• Research Scientists
• Product Managers
• User Experience (UX) Designers / Developers
• Natural Language Processing Engineers

You will be provided with full course materials for our Artificial Intelligence (AI) Foundation certification training course.

There are no prerequisites for attending our Artificial Intelligence (AI) Foundation training course.

Once the AI Body Of Knowledge has been completed, reviewed, and published - it will be released to delegates prior to course commencement.

BCS Artificial Intelligence (AI) Foundation Examination:

• Exam Duration: 60 Minutes
• Exam Format: Closed Book, 40 Multiple Choice Questions
• Exam Delivery: Online, Webcam Proctored
• Exam Pass Mark: 26/40

Candidate Responsibilities

• You need to complete registrations for both BCS and Questionmark.
• You will receive an email inviting you to register on the e-professional portal. Once you have completed this registration, you will be able to see the booking details that your training provider had given to BCS.
• The exam date and time may not reflect what you will book with Questionmark, but we will update this once the exam has taken place so your certificate will have the correct date.
• You will also receive an email with log in details for Questionmark. This will enable you to complete your registration and book your exam. The link for registering is here.
• If you are unable to see an assessment to schedule once you have registered, please contact BCS via [email protected].
• If you’re unable to select a remote proctored time and date, contact [email protected].

Create Proctor Session

• To select the exam date and time click on ‘Schedule’. If you have multiple exams to schedule it is advised that you only schedule the exam you wish to take otherwise you may encounter an error 500 screen.
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You can see the fulL BCS Artificial Intelligence (AI) Framework below:

We hope that you have enjoyed our Artificial Intelligence (AI) Foundation training course and that it has added value to your career and prospects. If you have any further questions or training requirements, please do reach out to us.