Level 3 Diploma in Applied AI
The Level 3 Diploma in Applied AI introduces learners to the practical application of artificial intelligence within data-driven and digital contexts. It covers computational thinking, programming concepts, data handling and AI model outputs to support problem-solving, automation and informed decision-making. This qualification develops the foundational skills and knowledge needed to work effectively with AI tools and systems in a range of professional and technical environments.
At a glance
Grading
Age Range
Delivery Modes
Entry Requirements
Qualification purpose
The Level 3 Diploma in Applied AI introduces learners to the practical application of artificial intelligence within data-driven and digital contexts. It covers computational thinking, programming concepts, data handling and AI model outputs to support problem-solving, automation and informed decision-making. This qualification develops the foundational skills and knowledge needed to work effectively with AI tools and systems in a range of professional and technical environments.
Qualification aims
- →Understand computational thinking and its role in AI and data contexts
- →Understand AI concepts, data processes and responsible AI practice
- →Apply programming concepts relevant to AI models
- →Plan and execute an AI project from conception to evaluation
- →Handle and prepare data for use in AI applications
- →Evaluate and interpret the outputs of AI systems
Qualification structure
This qualification is made up of 8 mandatory units, each worth 0 credits. Learners must complete all units.
| # | Unit Title | Unit Ref | Level | GLH | Credits |
|---|---|---|---|---|---|
| 1 | Understanding Computational Thinking | TBC | 3 | 0 | 0 |
| 2 | Understanding AI and Data Processes | TBC | 3 | 0 | 0 |
| 3 | Responsible and Safe AI Practice | TBC | 3 | 0 | 0 |
| 4 | Understanding Programming and its use in AI models | TBC | 3 | 0 | 0 |
| 5 | AI Project Planning | TBC | 3 | 0 | 0 |
| 6 | Using AI models | TBC | 3 | 0 | 0 |
| 7 | Data Handling and Preparation for AI | TBC | 3 | 0 | 0 |
| 8 | Evaluating and Interpreting AI System Outputs | TBC | 3 | 0 | 0 |
Learning outcomes
- 1Understand computational thinking and its role in AI and data contexts
- 2Understand AI concepts, data processes and responsible AI practice
- 3Apply programming concepts relevant to AI models
- 4Plan and execute an AI project from conception to evaluation
- 5Handle and prepare data for use in AI applications
- 6Evaluate and interpret the outputs of AI systems
Progression opportunities
Learners who complete this qualification can:
- →Use it as part of an application to higher education, such as a bachelor's degree
- →Use it to evidence AI knowledge and understanding in a job application
Entry Requirements
No formal entry qualifications are required; basic digital literacy and maths/English equivalent to Level 2 recommended. Aimed at learners aged 16+.
Assessment Type
Please see the qualification specification for full details.
Delivery Options
Who Can Offer This Qualification?
- →Sixth Form and Further Education Colleges
- →Independent Training Providers
- →Independent Schools
- →Employers and Workplace Training Providers
Any approved AI Board centre can deliver this qualification if it believes it will benefit its learners and it has the necessary resources to deliver and assess the programme.
What Your Centre Will Gain
- →Future-proof your learners with practical AI skills directly relevant to the digital and data economy.
- →Stand out by offering one of the UK's first qualifications focused on the applied use of AI.
- →Equip learners with computational, programming and data skills aligned to real employer demand.
How to gain this qualification
This qualification is delivered through AI Board approved centres. Find out how to become a centre →
Ready to find out more?
Download the full specification or view our fee structure to get started.