BCS Foundation Certificate in Artificial Intelligence (AI)
Understand AI technologies, Machine Learning concepts, and ethical AI principles with Firebrand.
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What you’ll learn
On this accelerated Foundation Certificate in Artificial Intelligence course, you'll take the next step in developing your knowledge of AI with this new certificate from BCS, The Chartered Institute for IT. You will learn the general principles of AI, its potential implications and capabilities, and how to assess AI products and services from multiple angles.
At Firebrand, we're proud to be an official BCS Accredited Training Partner. Through our unique Lecture | Lab | Review method, you'll access official courseware, learn from certified instructors, and train in a distraction-free environment.
At the end of this course, you’ll sit the official BCS Foundation Certificate in Artificial Intelligence exam and achieve your certification.
Ethical and sustainable human and artificial intelligence
Artificial Intelligence and robotics
Applying the benefits of AI - challenges and risks
Starting AI: how to build a Machine Learning toolbox - theory and practice
The management, role and responsibilities of humans and machines
Curriculum
This course consists of 5 modules:
- ●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, in particular
- ●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).
- ●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 and relate intelligent robotics to intelligent agents
- ●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 by. list advantages of machine and human and machine systems.
- ●Describe the challenges of Artificial Intelligence, and give
- ●General ethical challenges AI raises.
- ●General examples of the limitations of AI systems compared to human systems.
- ●Demonstrate understanding of the risks of AI project, and: give at least one a general example of the risks of AI
- ●Describe a typical AI project team in particular, 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).
- ●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
- ●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.
Prerequisites
There are no prerequisites to attend this accelerated course.
Exam info
At the end of this accelerated course, you'll sit the official BCS Foundation Certificate in Artificial Intelligence exam at the Firebrand Training Centre, covered by your Certification Guarantee.
● Format: Multiple-choice
● Number of questions: 40
● Duration: 60 minutes
● Pass mark: 26/40 65%
Domains:
Ethical and sustainable human and artificial intelligence (20%)
Artificial intelligence and robotics (20%)
Applying the benefits of AI - challenges and risks (15%)
Starting AI how to build a machine learning toolbox - theory and practice (30%)
The management, roles and responsibilities of humans and machines (15%)
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FAQs
This course is ideal for:
● Engineers, scientists, organisational change practitioners, service architects, program and planning managers, web developers, chief technical officers, service provider portfolio strategists / leads, business strategists and consultants.
● Anyone with an interest in (or need to implement) artificial intelligence in an organisation, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services.
Yes, we do provide courses suitable for beginners. However, Firebrand's accelerated courses aren't easy and it's essential that you are interested and actively pursuing a career in IT.
Traditional training providers usually run their courses from 9am to 5pm. At Firebrand Training we maximise the number of learning hours to minimise the number of training days, so you’ll be back to your job as quickly as possible.
Firebrand's accelerated courses are constantly reviewed. We ask our delegates for feedback after every course. We are official partners with leading vendors and therefore, we're provided with certification changes and updates, which we can then implement in our course delivery at a very early stage. This feedback is then analysed in view of changes or discrepancies. We will then address the topics mentioned and have a panel of subject matter experts provide us with valuable suggestions for improvement and solutions.
If you need to learn new skills and you want to be able to put them into practice quickly, then Firebrand is the right training company for you.
Our unique accelerated training method means that we are your fastest way to learn.