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BCS Artificial Intelligence (AI) Foundation Online

The Start To Your Career In AI And Machine Learning

Proctored Exam
180 Days Access
£495 (Excl. VAT)€568 (Excl. VAT)$563 (Excl. VAT)

Overview

Our BCS Artificial Intelligence (AI) Foundation online training course will teach you the building blocks of AI and how to use your newfound understanding of Machine Learning.

Our BCS Artificial Intelligence (AI) Foundation online training course will cover AI, Machine Learning and Neural Networks and be able to apply your knowledge to your current or future career.

If you would like immediate access, then please purchase the BCS Artificial Intelligence (AI) Foundation Online on the Purple Griffon E-Learning Portal.

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  • Must be a UK resident
  • Must be 18+ years old
  • Must have a UK bank account
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  3. You can only take out one loan application with Knoma at a time. If you would like to book multiple training courses, contact us and we might be able to arrange a payment plan with you internally for the other training courses.
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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 Syllabus

Our BCS Artificial Intelligence (AI) Foundation online training course will cover the following topics:

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

Learning Outcomes

Our BCS Artificial Intelligence (AI) Foundation online training course will teach you about AI, Machine Learning and Neural Networks - you can use this knowledge in your current or future career.

You will explore the AI and technological requirements to develop a machine learning portfolio and continue with self-study beyond the scope of our BCS Artificial Intelligence (AI) Foundation online training course

Who Should Attend

Our BCS Artificial Intelligence (AI) 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 & 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

What's Included

Our BCS Artificial Intelligence (AI) Foundation online training course includes:

  • Quizzes
  • Exercises
  • Sample Exam
  • BCS Artificial Intelligence (AI) Foundation Examination

Technical Requirements

Read the BCS Official Guidance for a step-by-step guide on how to take your online proctored examination.

Entry-Level Requirements

There are no entry-level requirements for our BCS Artificial Intelligence (AI) Foundation online training course.

Recommended Reading

There is no recommended reading associated with our BCS Artificial Intelligence (AI) Essentials online training course.

Exam Information

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

Exam Type

Proctored Exam

Qualifications

BCS Artificial Intelligence (AI) Foundation Certificate

Additional Information

When you have completed the BCS Artificial Intelligence (AI) Foundation online training course and passed the exam, you will be awarded the Artificial Intelligence (AI) Foundation certificate.

Frequently Asked Questions

Joining Instructions for Purple Griffon training courses are sent the week before the course start date. First, your Account Manager will email to confirm your booking with you. Both, the materials and exam voucher will be emailed to you the week before the training course. Finally, the tutor will send the invitation to you directly and this will be via the MS Teams or Zoom platform.

You will have access to our BCS Artificial Intelligence (AI) Foundation Online training course for 180 days. The duration of your access starts on the day your order is processed, so we encourage you to work through your online training course with this in mind.