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Artificial Intelligence (AI) Foundation Training Course

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

Introduction

Introduction To The AI Foundation Training Course

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.

Demonstrations are presented using standard open-source software and cloud services. Participants explore AI and technological requirements to develop a machine learning portfolio and continue with self-study beyond the scope of this course.

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 Outline

AI Foundation Certification Course Outline

Syllabus and 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

Description

Description Of The AI Foundation Course

This tutor-led course is a fantastic opportunity to engage with an AI Expert. Participants gain knowledge of AI, ML, and neural networks and will be able to apply it to their current or future careers.

About the Course

Additional AI Foundation Course Information

The AI Foundation course builds upon the basic knowledge of AI. Over 3 days, the course will take participants from a basic understanding of AI to the creation their own AI product.

Who Should Attend

Who Should Attend The Artificial Intelligence Training Course

Our Target Audience for the AI Foundation 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 and Managers; Business Change Practitioners and Managers; Service Architects and Managers; Program and Planning Managers; Service Provider Portfolio Strategists and Leads; Process Architects and Managers; Business Strategists and Consultants; Web Developers

Materials Provided

Materials Provided For The AI Foundation Certification Course

A full course manual will be provided to all participants.

Organisational Benefits

Organisational Benefits From The Artificial Intelligence Training Course

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

Individual Benefits From The AI Foundation Course

Individuals will benefit from the AI Foundation course by:

  • 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

Prerequisites

Prerequisites Of The AI Foundation Certification Course

There are no prerequisites for attending this course for AI Foundation certification.

Prereading

AI Foundation Course Prereading

Once the AI body of knowledge is completed, reviewed, and published (End of March 2019) it will be release to all course delegates prior to course commencement.

Exam Overview

AI Foundation Certification Course Exam Overview

The exam for the AI Foundation Certificate will consist of:

  • A one-hour closed book exam
  • Consisting of 40 multiple choice questions
  • Pass mark is 26/40

Exam Type

Classroom Exam

Professional Development Units - PDUs

Further details will be added in Q1 2019.

Qualifications

Artificial Intelligence - AI Foundation Certificate

Next Steps

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

ai pathway

Conclusion

AI Training Course Conclusion

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.

Artificial Intelligence (AI) Foundation Course Dates

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