What Will You Learn?

Do you want to become certified in Artificial Intelligence? Learn everything you need to know about Artificial Intelligence and Machine Learning in under 10 hours! This BCS Artificial Intelligence (AI) Essentials training course will cover:

  • The History Of AI

  • The Benefits And Challenges Of AI

  • How To Use AI In Business Projects

  • The Future Of AI + Humans

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Course Curriculum

  • 1

    AI: Introduction & History

    • Introduction

    • Learning Objectives

    • Journey Home - So What!

    • AI And Human Intelligence - Introduction

    • AI And Human Intelligence - Part 1

    • AI And Human Intelligence - Part 2

    • Dictionary Definitions: IQ & EQ

    • Aristotle

    • The Scientific Method - Objective

    • Emotional Intelligence: EQ - Subjective

    • The Industrial Revolutions

    • Universal Design - Design For All

    • Artificial Intelligence Definition

    • History Of AI & Machine Learning

    • Machines Learn From Data

    • Tom Mitchell Definition Of ML

    • Heuristic – Sometimes Works

    • Humans Are More Than IQ & EQ

    • Go With Your Gut Feeling - Magnus Walker

    • The Digital Human

    • AI – Deep Learning

    • What Have We Learned?

    • Exercise Documents

    • Exercise One

    • Chapter 1: Quiz

  • 2

    AI: Benefits & Challenges

    • What's In It For Me?

    • Opportunities, Challenges And Risk

    • ML - What Do We Need?

    • Optical Character Recognition - OCR

    • Research And Development - R&D

    • Engineering

    • Health And Social Care

    • Entertainment

    • Sales & Marketing

    • Logistics – Planning And Organisation

    • ML Enabler - IOT & Big Data

    • ML Enabler - High Performance Computing

    • ML Classification - Boosting & Clustering

    • ML Enabler - Neural Networks

    • ML Enabler - Deep Reinforcement Learning

    • Funding

    • Ethics - The Elephant In The Corner

    • What Humans Do Well - Subjective

    • Humans & Machines Working Together

    • Automation

    • ML Challenges And Risks - Part 1

    • ML Challenges And Risks - Part 2

    • ML Challenges And Risks - Part 3

    • Chapter 2: Quiz

  • 3

    Machine Learning: Part 1

    • AI - Machine Learning - Part 1

    • Machine Learning - Part 1

    • Tom Mitchell Definition Of ML

    • Engineers Build Models Every Day

    • Schematic Of Artificial Intelligence

    • AI Agents - Rationality

    • AI Agents - Structure

    • AI Agents - Examples

    • Types Of Agent – What’s Missing?

    • Types Of Agent – What’s Missing?

    • The Learning From Experience

    • Russell & Norvig - A General Learning Agent

    • State Of The Agent World

    • Typical Agent Functionality

    • Machine Learning - Part Of The AI Toolkit

    • The Types Of Machine Learning - Part 1

    • The Types Of Machine Learning - Part 2

    • The Types Of Machine Learning - Part 3

    • The Types Of Machine Learning - Part 4

  • 4

    Machine Learning: Part 2

    • Machine Learning - Part 2

    • The Types Of Machine Learning - Part 5

    • The Types Of Machine Learning - Part 6

    • The Types Of Machine Learning - Part 7

    • Machine Learning Is Multi-Disciplinary

    • ML - Good Data & Algorithms - Part 1

    • ML - Good Data & Algorithms - Part 2

    • ML - Good Data & Algorithms - Part 3

    • ML - Good Data & Algorithms - Part 4

    • ML - Good Data & Algorithms - Part 5

    • Chapter 3 & 4: Quiz

    • Exercise Two

  • 5

    AI: The Future

    • The Future Of AI - Human + Machine

    • Human Plus Machine

    • Ethics

    • Robotics Guidelines EPSRC

    • Ethics In AI

    • Human Consciousness

    • Humans Provide The Subjective

    • Human Only Roles

    • Humans Complements Machine

    • AI Enhances Humans

    • Humans Drive The Change

    • Asilomar Principals

    • Get The KASH

    • Chapter 5: Quiz

    • Exercise Three

  • 6

    Conclusion: Next Steps

    • What Have We Learned?

    • What Was In It For Me?

    • Journey Home - So What!

    • Reading List - Part 1

    • Reading List - Part 2

    • Additional Reading List

    • Next Steps - What Now?

  • 7

    What Did You Learn?

    • BCS AI Essentials Mock Exam Instructions

    • BCS AI Essentials Mock Examination

    • BCS AI Essentials Exam Outline

    • How To Order Your Examination

  • 8

    How Did We Do? Tell Us...

    • Artificial Intelligence (AI) Essentials: Survey

Frequently Asked Questions

Have you got burning questions? You might be able to find the answers for them here:

  • What Are The Prerequisites?

    There is no entry level requirements for the BCS Artificial Intelligence (AI) Essentials training course, all of the information that is required to pass the examination is included in the courseware.

  • What Is The Examination Format?

    The examination consists of 20 multiple-choice questions, and has a duration of 30 minutes. In order to pass the examination, you must score 65%, or 13/20. The examination is an online proctored exam conducted by BCS.

  • Who Should Attend?

    The BCS Artificial Intelligence (AI) Essentials 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

  • Do I Need Identification For The Examination?

    You will be required to have some form of photo ID (passport, government ID or equivalent) for the examination. If the examination includes a document to be printed, then please ensure that you have a printer in the room where you will be sitting the exam. Some examination institutes will ask you to have a small mirror or reflective surface and the proctor will request that you hold this up to show there is nothing attached to the webcam or even the laptop itself. Also, Adobe Flash Player and Shockwave must also be installed on your desktop or laptop prior to the examination.

  • What Are The Technical Requirements?

    You will need access to a laptop with headphones, or speakers.