Course Overview
The BCS Essential Certificate in Artificial Intelligence (AI) provides an introduction into the complex area of AI, providing background and ethical / legal considerations. It highlights different enablers of AI with a focus on data. The course explores using AI in your organisation and gives ideas for future developments. This certification offers an introduction for understanding the rapidly advancing AI landscape.
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The BCS expects that the examination will take approximately 30 hours to prepare for which also includes 23 hours of independent study. This study could include the BCS recommended reading of the following books:
- Artificial Intelligence Foundations: Learning from experience (ISBN: 9781780175287)
- Getting Started with ChatGPT and AI Chatbots: An introduction to generative AI tools (ISBN: 9781780176413)
Who is it for?
This course is for 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.
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Entry Requirements
There are no entry requirements for this certification.
Exam
Exams are taken online via remote proctor. You will be able to book your exam at a date and time of your choice. You are responsible for booking your own exam.
Exam format
- Multiple choice
- 30 minutes duration
- 65% pass mark (13/20)
The BCS expects that the examination will take approximately 30 hours to prepare for which also includes 23 hours of independent study. This study could include the BCS recommended reading of the following books:
- Artificial Intelligence Foundations: Learning from experience (ISBN: 9781780175287)
- Getting Started with ChatGPT and AI Chatbots: An introduction to generative AI tools (ISBN: 9781780176413)
Course Objectives
The syllabus is split into six sections. These are the topics which have learning objectives against them:
- An introduction to AI and historical development
- State the definitions of key artificial intelligence terms
- Describe key milestones in the development of artificial intelligence
- Identify different types of AI
- Ethical and legal considerations
- Identify the role of ethics in AI
- State the key ethical concerns in AI
- Identify guiding principles in the use of ethical AI
- Enablers of AI
- List common examples of AI
- Identify robotics in AI
- Describe machine learning
- Identify common machine learning concepts
- Finding and using data in AI
- State key data terms
- Identify the characteristics of data quality
- State the risks associated with handling data in AI
- Identify data visualisation techniques and tools
- State key generative AI terms
- Identify the use of data in the Machine Learning process
- Using AI in your organisation
- Identify opportunities for AI in an organisation
- Identify project management approaches
- Describe governance activities associated with implementing AI
- Future planning and impact – Human plus machine
- Describe the roles and career opportunities presented by AI
- Identify AI uses in the real world
- Explain AI’s impact on society
- Describe the future of AI
Syllabus – Key points
The syllabus is split into six sections. These are the topics which have learning objectives against them:
- An introduction to AI and historical development
- State the definitions of key artificial intelligence terms
- Describe key milestones in the development of artificial intelligence
- Identify different types of AI
- Ethical and legal considerations
- Identify the role of ethics in AI
- State the key ethical concerns in AI
- Identify guiding principles in the use of ethical AI
- Enablers of AI
- List common examples of AI
- Identify robotics in AI
- Describe machine learning
- Identify common machine learning concepts
- Finding and using data in AI
- State key data terms
- Identify the characteristics of data quality
- State the risks associated with handling data in AI
- Identify data visualisation techniques and tools
- State key generative AI terms
- Identify the use of data in the Machine Learning process
- Using AI in your organisation
- Identify opportunities for AI in an organisation
- Identify project management approaches
- Describe governance activities associated with implementing AI
- Future planning and impact – Human plus machine
- Describe the roles and career opportunities presented by AI
- Identify AI uses in the real world
- Explain AI’s impact on society
- Describe the future of AI
Dawid Pachla|Technical Director|Cohaesus Ltd. –
Great introductory course for exploring ML and AI.