Essentials Certificate in Artificial Intelligence (ECIA)
First steps in AI training to understand the principles of AI, its benefits and risks, and the processes behind machine learning
Course Style
Live Instructor led. Face-to-face or attend from anywhere.
What is included?
- 1 day of training
- Course material/Slides
- Examination Fees
- 98.7% Certification Success in First Attempt
- Classroom training Or Attend-From-Any-Where
- Training delivered by Professionals with enormous industry experience
- Total comprehensive exam preparation
Our training course covers the basic concepts and essentials in Blockchain.
The potential fields of application, the potential value for the organisation and the technology driving Blockchain.
What you will Learn?
Develop your knowledge and understanding of:
- the terminology and general principles, including benefits and types of AI
- the basic process of machine learning (ML)
- the challenges and risks associated with an AI project
- the future of AI and humans in work
Who should attend?
- Individuals with an interest in (or a need to implement) AI in an organisation, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.
- Middle and senior managers running or assembling teams to create AI dependent applications and services, that need to understand the context of AI in an industrial setting.
Course Outline
1.1 Recall the general definition of human and Artificial Intelligence (AI);
1.1 Recall the general definition of human and Artificial Intelligence (AI).
1.2 Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
1.3 Understand that ML is a significant contribution to the growth of Artificial Intelligence.
1.4 Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
- Artificial and Human Intelligence: An Introduction and History (25%)
Candidates will be able to:
- Examples of AI: Benefits, Challenges and Risks (30%)
Candidates will be able to:
2.1 Explain the benefits of Artificial Intelligence, and
2.1.1 list advantages of machine and human and machine systems.
2.2 Describe the challenges of Artificial Intelligence, and give:
2.2.1 general examples of the limitations of AI compared to human systems,
2.2.2 general ethical challenges AI raises.
2.3 Demonstrate understanding of the risks of Artificial Intelligence, and
2.3.1 give at least one a general example of the risks of AI.
2.4 Identify a typical funding source for AI projects.
2.5 List opportunities for AI.
- An introduction to Machine Learning (35%)
Candidates will be able to:
3.1 Demonstrate understanding of the AI intelligent agent description, and:
3.1.1 identify the differences with Machine Learning (ML), and:
3.1.2 list the four rational agent dependencies,
3.1.3 describe agents in terms of performance measure, environment, actuators, and sensors, BCS Essentials Certificate in Artificial Intelligence Syllabus V1.0 ©BCS 2018 Page 9 of 16
3.1.4 describe four types of agents: reflex, model-based reflex, goal-based and utility-based.
3.2 Give typical examples of Machine Learning in the following contexts:
3.2.1 business,
3.2.2 social (media, entertainment),
3.3.3 science.
3.3 Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.
3.4 Describe and give examples of the following forms of ML:
3.4.1 supervised,
3.4.2 unsupervised,
3.4.3 reinforcement.
3.5 Describe the basic schematic of a neutral network.
- The Future of Artificial Intelligence – Human and Machine Together (10%)
Candidates will be able to:
4.1 Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together.
4.2 List future directions of humans and machines working together.
The exams will increase the career scope of people who want to access machine learning and drive workable results. This is the best course for a high paying job opportunity.
Prerequisites
None.