BCS Essentials Certificate in Artificial Intelligence – Classroom Course in Birmingham

Who is this course suitable for?  

The Artificial Intelligence Essentials certificate is aimed at individuals who have an interest in, or need to implement, AI within their organisation.

Middle and Senior Managers, who run or organise teams to create AI dependent services and applications would also benefit from the principles taught throughout this training.

Typically, this course in Birmingham will benefit individuals who work in the following sectors:

•    Science
•    Engineering
•    Knowledge Engineering
•    Finance
•    IT Services

Career Opportunities

While this training in Birmingham would be useful for many different backgrounds and job titles, this Artificial Intelligence training course would benefit: 

•    Scientists - £30k
•    Engineers - £33k
•    Web Page Developers - £35k
•    Professional Research Managers - £39k
•    Organizational Change Managers - £45K
•    Process Managers - £49k
•    Business Change Managers - £51k
•    Program Managers - £62k
•    Chief Information Officers - £136K
•    Chief Technical Officers - £148k

(Source: Glassdoor)

Why choose e-Careers to study this course

With over 10 years’ experience in the training and education sector, we have enhanced and fine-tuned our overall training offering; from selecting the best trainers, having the most relevant course materials and best customer support. We have trained over 575,000 delegates from around the world and have achieved a 5-star rating, from over 8,500 students on Trustpilot.

You’ll also benefit from:

•    Highly quality training
•    Expert Tutor Support
•    Interest-Free Payment Plans

Course Details & Syllabus

Learning Outcomes

Delegates will be able to demonstrate a basic knowledge and understanding of general concepts in the following areas:

•    Human and Artificial Intelligence.
•    The Machine Learning process.
•    The benefits, challenges, and risks of a Machine Learning project.
•    The future of humans and machines in Work.

Syllabus

Artificial and Human Intelligence: An Introduction and History (25%)

•    Recall the general definition of human and Artificial Intelligence (AI).
•    Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
•    Understand that ML is a significant contribution to the growth of Artificial Intelligence.
•    Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.

Examples of AI: Benefits, Challenges and Risks (30%)

•    Explain the benefits of Artificial Intelligence.
•    List advantages of machine and human and machine systems.
•    Describe the challenges of Artificial Intelligence.
•    Demonstrate understanding of the risks of Artificial Intelligence.
•    Identify a typical funding source for AI projects.
•    List opportunities for AI.

An introduction to Machine Learning (35%)

•    Demonstrate understanding of the AI intelligent agent description.
•    Identify the differences with Machine Learning (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.
•    Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.
•    Describe the basic schematic of a neutral network.

The Future of Artificial Intelligence – Human and Machine Together (10%)

•    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.

Exam Details

Type - Multiple choice

Number of questions – 20

Duration - 30 Minutes

Supervised - Yes

Open Book - No

Pass Mark – 13/20 (65%)