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Unit 21 Introduction to Artificial Intelligence (AI) Assignment Brief 2026
| University | Business and Technology Education Council ( BTEC) |
| Subject | Unit 21 Introduction to Artificial Intelligence (AI) |
Unit 21 Introduction to Artificial Intelligence (AI) Assignment Brief
| Qualification | Pearson BTEC International Level 3 Subsidiary Diploma in Information Technology
Pearson BTEC International Level 3 Foundation Diploma in Information Technology Pearson BTEC International Level 3 Diploma in Information Technology Pearson BTEC Level 3 National Extended Diploma in Information Technology |
|---|---|
| Unit Number | 21 |
| Unit Title | Introduction to Artificial Intelligence (AI) |
| GLH | 60 |
| Unit Type | Internal |
Unit in Brief
Learners will explore the applications of artificial intelligence (AI) and how it can be used to solve complex problems.
Unit Introduction
Artificial intelligence (AI) has been an area of information technology that has been studied by academics since the early days of computers. It is only in recent years however, due to the increased availability of digital systems, increases in computing power and the vast amount of data, that AI has seen wider scale adoption. AI of varying types is now used in many of the different business and personal systems we interact with on a day-to-day basis. Whether it be a digital voice assistant such as Siri, Cortana and Alexa, or personalised recommendations in an e-commerce site, or even image filters on a smartphone’s camera, AI has changed the way in which computers can be utilised.
In this unit, you will explore how AI is used in different industries to solve problems, inform decisions and improve performance. You will explore the import role data has in AI systems, how different algorithms are used to draw meaningful information from data, and how in turn these systems can ‘learn’. You will collect and prepare data, and apply computing resources, to develop an AI solution in response to an identified problem.
The analytical and problem-solving skills and knowledge that you develop in this unit will prepare you for entry to higher education to study a range of degrees. This unit will also help you to progress to an IT apprenticeship or to employment.
Learning Aims
In this unit, you will:
A. Investigate uses and applications of AI
B. Plan and prepare an AI solution to meet identified needs
C. Develop an AI solution to meet identified needs.
Summary of Unit
| Learning aim | Key content areas | Assessment approach |
| A Investigate uses and applications of AI | A1 Uses and applications
of AI A2 Implications of AI |
A written report exploring how and why different industries utilise AI solutions, the benefits they can bring, and any associated risks and drawbacks. |
| B Plan and prepare an AI solution to meet identified needs | B1 Data for AI
B2 Gathering and preparing data |
A portfolio of evidence detailing the creation of an AI solution will include:
|
| C Develop an AI solution to meet identified needs | C1 AI models
C2 Tools for the development AI solutions |
Assessment Criteria
| Pass | Merit | Distinction |
| Learning aim A: Investigate uses and applications of AI | A.D1 Evaluate the impact of AI on different industries. | |
| A.P1 Describe how the fundamental concepts of AI are used in industry to meet specific identified needs.
A.P2 Explain the associated benefits, risks and drawbacks of AI in different industries. |
A.M1 Analyse the benefits, risks and drawbacks of AI and how they impact on different industries. | |
| Learning aim B: Plan and prepare an AI solution to meet identified needs | BC.D2 Evaluate the effectiveness of the AI solution. | |
| B.P3 Define the objectives of an AI project.
B.P4 Gather and prepare appropriate data sets for an AI solution. |
B.M2 Review and refine data sets to optimise the quality of an AI solution. | |
| Learning aim C: Develop an AI solution to meet identified needs | ||
| C.P5 Develop an AI solution using an appropriate programming language and computing tools. | C.M3 Test and refine the AI solution. | |
Essential information for Assignments
The recommended structure of assessment is shown in the unit summary, along with suitable forms of evidence. Section 6 Internal assessment gives information on setting assignments and there is also further information on our website.
There is a maximum number of two summative assignments for this unit.
The relationship of the learning aims and criteria is:
Learning aim A: (A.P1, A.P2, A.M1, A.D1)
Learning aims B and C: (B.P3, B.P4, C.P5, B.M2, C.M3, BC.D2)
Links to Other Units
This unit links to:
- Unit 4: Programming
- Unit 10: Big Data and Business Analytics
- Unit 18: The Internet of Things
- Unit 22: Introduction to Robotics and Automation
- Unit 23: Emerging Trends and Technologies.
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