Course Details

Take your first steps in AI training to understand the principles of AI, its benefits and risks, and the processes behind machine learning.


Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behaviour. 


The BCS Essentials Certificate in Artificial Intelligence tests a candidate’s knowledge and understanding of the terminology and the general principles. This syllabus covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and humans in work.


Course curriculum

    1. Section One Overview

    2. Section 1 Contents

    3. What Is Artificial Intelligence (AI)?

    4. What Is Human Intelligence?

    5. IQ & EQ

    6. Aristotle

    7. The Scientific Method

    8. Timeline of AI & Machine Learning (ML)

    9. Industrial Revolutions

    10. Universal Design

    11. Machines Learn From Data

    12. Tom Mitchell's Definition of ML

    13. Heuristic

    14. A Human is More Than IQ & EQ

    15. Identifying Objects

    16. The Digital Human

    17. Human Brain Inspired AI 'Deep Learning' (DL)

    18. Test Your Learning - Part One

    19. Summary

    1. Section Two Overview

    2. Section 2 Contents

    3. 3 Steps/Components in a ML Project

    4. Research and Development - R&D

    5. Benefits of Using AI and ML in Engineering

    6. Benefits of Using AI and ML in Health and Social Care

    7. Benefits of Using AI and ML in Logistics

    8. Benefits of Using AI and ML in Entertainment

    9. Benefits of Using AI and ML in Sales and Marketing

    10. 1970's - Optical Character Recognition (OCR)

    11. ML Enabling IoT and Big Data

    12. ML Enabling Cloud High Performance Computing (HPC)

    13. ML Enabling Deep Learning Artificial Neural Networks

    14. ML Enabling Deep Reinforcement Learning

    15. Funding for ML Projects

    16. ML Classification Examples

    17. Ethics

    18. What Humans Do Well

    19. Humans and Machines Working Together

    20. ML Challenges and Risks 1/3

    21. ML Challenges and Risks 2/3

    22. ML Challenges and Risks 3/3

    23. Test your learning - Part Two

    24. Summary

    1. Section Three Overview

    2. Section 3 Contents

    3. Tom Mitchell's Definition of ML

    4. Engineers Build Models Everyday

    5. Schematic of an AI Program

    6. Features of an Agent

    7. Types of an Agent

    8. Russell and Norviq - A General Learning Agent

    9. Typical Agent Functionality

    10. State of the Agent World

    11. Machine Learning - Part of the AI Toolkit

    12. Types of ML

    13. Test your learning - Part Three

    14. Summary

    1. Section Four Overview

    2. Section 4 Contents

    3. Batch and Offline Learning

    4. Online Learning

    5. Instance Based and Model Based Learning

    6. ML is Multi-Disciplinary

    7. ML - Good Data and Algorithms

    8. ML - Good Data and Algorithms: Overfitting

    9. ML - Good Data and Algorithms: Underfitting

    10. ML - Good Data and Algorithms: Underfitting

    11. Test Your Learning - Part Four

    12. Summary

    1. Section 5 Contents

    2. Humans and Machines Working Together (further reading)

    3. Ethics - Challenge

    4. Robotics Guidelines - EPSRC

    5. Ethics in AI

    6. Super AI - Consciousness

    7. Human Roles

    8. How Humans Complement Machines

    9. How AI Enhances Humans

    10. Asilomar Principles

    11. Test Your Learning - Part Five

    12. Summary

    13. Section Five Overview

About this course

  • £500.00
  • 94 lessons

Did You Know?

There are currently around 300,000 AI professionals worldwide but millions of roles available requiring AI skills which are only set to increase year on year (Forbes. 2018). Stay ahead of the curve and learn about how AI can impact the business world whilst developing your career in this expanding field.

Questions

  • Who is it for?

    Individuals with an interest in (or a need to implement) AI in an organisation, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services. Middle and senior managers running or assembling teams to create AI dependent applications and services, that need to understand the context of AI in an industrial setting.

  • What will I learn?

    Develop your knowledge and understanding of: the terminology and general principles, including benefits and types of AI. The basic process of machine learning (ML). The challenges and risks associated with an AI project. The future of AI and humans in work.

  • Exam

    A 20 question multiple-choice exam, included in price (pass mark is 65%) which you can take at home, computer with webcam required. You will have 12 months access to the course to help you prepare.

  • Entry requirements

    There are no entry requirements for this certification.

  • What Do I Get?

    As well as gaining new skills and knowledge, upon successful completion, you will receive a globally recognised professional certification awarded by BCS at SFIA Plus Level 2, and free annual Associate membership to BCS to further develop your career and grow your professional network.

  • How Long Does It Take to Complete?

    We recommend around 40 hours of study before taking the exam, though many students complete the course in only a few days.

  • What Tutor Support Is Available?

    A qualified tutor is on hand to answer any questions you have about the course and the content, via email or the student discussion forum.

  • What Career Support Is Available?

    When you pass your course, you will receive a one-year free membership to BCS (worth £90) which offers professional networking and career development opportunities within specific IT fields, and within BCS there is a specific careers centre ’Springboard'.

Instructor

Company Director and Accredited Trainer Darren Winter

Darren is the Company Director of Duco Digital, a digital marketing & training business providing business analysis and delivering professional marketing solutions including websites, social media marketing, SEO, marketing strategies and training. In 2020, he launched Duco Digital Training offering BCS accredited distance learning courses. In 2017 he graduated from Newcastle University with an MA with merit in Cross-Cultural Communication and International Marketing, previously graduating with a BSc in Computing from Teesside University where he was also a University Governor. He is the Chair of the Redcar Cleveland Ambassadors and the Redcar Town Deal Board, and also manages the Redcar and Cleveland Business Network.

Start your AI journey today. For only £500!

Price includes 12 months access, tutor support and exam costs.

What If I Change My Mind?

If you change your mind about your course purchase, you can apply for a refund within 14 days of purchase, provided that you haven't accessed your course material. Please note that you are no longer eligible if you have accessed your course material or communicated with any course tutor.