Course description
BCS Essentials Certificate in Artificial Intelligence
Our Artificial Intelligence training course will teach you the essential terminology and the general principles of Artificial Intelligence, which is a methodology for using non-human systems to learn from experience and imitate human intelligent behaviour.
This course has been developed to teach you the fundamental principles of AI, to be able to use them within your current, or future job roles. Your knowledge will be tested through the BCS Essentials Certificate in Artificial Intelligence exam, where you will answer questions about the terminology and the general principles of Artificial Intelligence.
Once you have completed this training course and passed your exam, you 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.
This course benefits from 1-year BCS membership and our Exam Pass Guarantee*.
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Upcoming start dates
Suitability - Who should attend?
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 will benefit individuals who work in the following sectors:
- Science
- Engineering
- Knowledge Engineering
- Finance
- IT Services
Outcome / Qualification etc.
Accreditation: BCS - The Chartered Institute for IT
Participants 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.
Training Course Content
Artificial and Human Intelligence: An Introduction and History
- 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
- 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
- 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
- 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.
Why choose e-Careers Ltd
We have successfully trained over 610,000 learners, from over 50 countries, and growing.
We are industry leaders, with multiple awards and over 10 years experience.
Our Trainers and Tutors are industry experts in their fields
Expenses
Tuition Fee: £ 495Inc. VAT
Continuing Studies
When you have completed your AI training you can work towards a career in a wide range of AI related job roles, including:
- Machine Learning Researcher
- Data Mining and Analysis Professional
- Data Scientist
- Business Intelligence (BI) Developer
- Machine Learning Engineer
- Artificial Intelligence specialist
- Artificial Intelligence Developer
- Artificial Intelligence Engineer
- Artificial Intelligence Architect