Course Overview
The BCS accredited Certificate in Artificial Intelligence Foundation course is our latest Artificial Intelligence training course. The course builds upon the basic knowledge of AI. Over the 3 days the course will take you from a basic understanding of AI to the ability to create your own AI product.
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Artificial Intelligence Foundation Certification incorporates and builds on the essentials certification to develop a portfolio of AI examples using the basic process of machine learning. It shows how AI delivers business, engineering and knowledge benefits.
Examples are presented; drawing on standard open source software and cloud services. Candidates will explore what is required to develop a machine learning portfolio and given access to the examples for on-going self-study
Who is it for?
Those individuals with an interest in, (or need to implement) AI in an organisation, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.
The following broad set of roles would be interested:
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; Programme and planning managers; Service provide
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Entry Requirements
There are no entry requirements for this training
Exam
The exam will consist of:
- A one-hour closed book exam
- Consisting of 40 multiple choice questions
- Pass mark is 26/40
- Exam is included in the price
Course Objectives
Ethical and Sustainable Human and Artificial Intelligence (20%). Candidates will be able to:
- Recall the general definition of Human and Artificial Intelligence (AI)
- Describe the concept of intelligent agents.
- Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model.
- Describe what are Ethics and Trustworthy AI
- Recall the general definition of Ethics.
- Recall that a Human Centric Ethical Purpose respects fundamental rights, principles and values
- Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust.
- Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored.
- Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals.
- Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
- Understand that ML is a significant contribution to the growth of Artificial Intelligence.
- Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
- Artificial Intelligence and Robotics (20%)
- Demonstrate understanding of the AI intelligent agent description
- 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.
- Identify the relationship of AI agents with Machine Learning (ML).
- Describe what a robot is.
- Describe robotic paradigms
- Describe what an intelligent robot is.
- Relate intelligent robotics to intelligent agents.
- Applying the benefits of AI – challenges and risks (15%)
- Describe how sustainability relates to human-centric ethical AI and how our values will drive our use of AI will change humans, society and organisations.
- Explain the benefits of Artificial Intelligence
- List advantages of machine and human and machine systems.
- Describe the challenges of Artificial Intelligence, and give the general ethical challenges AI raises, along with examples of the limitations of AI systems compared to human systems.
- Demonstrate understanding of the risks of AI project
- Give at least one a general example of the risks of AI
- Describe a typical AI project
- Describe a domain expert
- Describe what is ‘fit-of-purpose’.
- Describe the difference between waterfall and agile projects.
- List opportunities for AI.
- Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs).
- Starting AI how to build a Machine Learning Toolbox – Theory and Practice (30%)
- Describe how we learn from data – functionality, software and hardware.
- List common open source machine learning functionality, software and hardware
- Describe introductory theory of Machine Learning.
- Describe typical tasks in the preparation of data.
- Describe typical types of Machine Learning Algorithms.
- Describe the typical methods of visualising data.
- Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.
- The Management, Roles and Responsibilities of humans and machines (15%)
- 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.
Syllabus – Key points
Each major subject heading in this syllabus is assigned and allocated a percentage of study time. The purpose of this is:
1) Guidance on the proportion of time allocated to each section of an accredited course.
2) Guidance on the proportion of questions in the exam.
jon.cameron –
It was a great course – I have had the accompanying text book from BCS for around a year already, but decided I really needed the course to help ingest some of the subject material, which is very complex. The course material will also assist me as a foundation to investigate subject areas that I found more interesting – ML and language models for instance.
I would have preferred more references on the course slides to the relevant area of the syllabus, and some of the items are slightly out of date as this is an area of technology, but that is due to the pace at which things are changing. The course tutor was very knowledgeable, engaged the candidates as best as possible over Zoom (its better to be in a real room!), and delivered the course really well.
I think the BCS delivers great courses and text books – I have complete other BCS courses and find everything to be a at a very good standard.
stephen.miller –
A great course, very thought provoking in parts and a useful set of guidance for starting our AI programmes with in the company.
jon.cameron –
It was a great course – I have had the accompanying text book from BCS for around a year already, but decided I really needed the course to help ingest some of the subject material, which is very complex. The course material will also assist me as a foundation to investigate subject areas that I found more interesting – ML and language models for instance.
I would have preferred more references on the course slides to the relevant area of the syllabus, and some of the items are slightly out of date as this is an area of technology, but that is due to the pace at which things are changing. The course tutor was very knowledgeable, engaged the candidates as best as possible over Zoom (its better to be in a real room!), and delivered the course really well.
I think the BCS delivers great courses and text books – I have complete other BCS courses and find everything to be a at a very good standard.
stephen.miller –
A great course, very thought provoking in parts and a useful set of guidance for starting our AI programmes with in the company.
Anonymous –
Rosie was an excellent tutor who clearly knows her stuff! I thoroughly enjoyed the course and the content, however the course could benefit from more dynamic content. Too many slides and not enough practical elements are the only complaints I had.
Anonymous –
There was a LOT of powerpoint slides with just text. And a LOT of our trainer talking to us. She was a very clear speaker and very personable, but it was a LOT of talking. I would have really enjoyed more activities and interaction. Even just some different formatting and images/examples on the slides would have been nice. As it was, I felt I could easily have gotten the information by reading the notes with no loss of experience/information. Again, nothing against our trainer as I think she did as well as possible with this style of training, but the style itself was the problem, and I’m not sure if that’s dictated by BCS or not, but it would be much nicer if there was more interactivity.
Anonymous –
A busy, but very informative, 3 days – Lots of information to take in from this comprehensive look at the topic but presented in a relaxed and understandable manner with personal experiences from the trainer incorporated to add clarity and build memory hooks, also used good references to the jobs, knowledge and personal experiences of the delegates.
Anonymous –
Really enjoyed the topics and discussions. This is the information you don’t know that you need to know before you start learning about AI. Very interesting.
Anonymous –
The trainer was fantastic, but the course material feels far too academic. We are discussing ethics in a way that feels like closing the stable door after the horse has bolted. It would be useful to include more around how to deal with the true impact of AI in a modern world, rather than what is largely wishful thinking.
Anonymous –
Rosie was excellent as a trainer. She was clear, concise, and gave good reasoning and explanations for each module.
Anonymous –
Great course focusing on things us techie’s do not always think about.
Anonymous –
I thought the course has been padded out to 3 days. IT could have been 2 days. The sections on business cases, and project management were unnecessary and felt like padding. More specific on AI techniques would have been more helpful.
The course presented a very idealistic view of how AI should be managed in an organisation.
A more realistic appraisal of current use would have been more helpful.
Anonymous –
The trainer was excellent and very well experienced in the subject area and IT more generally. A very nice chap.
Anonymous –
Really good course , probably could be fit into two days rather than three.
Anonymous –
Really interesting course, Bill provided lots of anecdotes to bring the subject to life. Good level of detail on subjects.
Anonymous –
Bill livened up the training by using case studies and personal stories. I am aware that the duration and style of the training is not within Bill’s remit but he adapted as much as he could to make it more interactive, many thanks!
Anonymous –
Very enjoyable, lots of interesting anecdotes and real-world examples to bring it to life.
Anonymous –
The course was interesting and relevant. Provided real-world context and justifications for AI. Bill is an excellent trainer, and his anecdotes kept me engaged!
Anonymous –
Well run, on time and interactive. Could increase lunch break from 45 minutes to 1 hour.
Anonymous –
There was a lot to learn but it was a good place to t learning about Artificial Intelligence which was all useful and interesting. Some of it I knew already but a lot of it I didn’t!