Explain prompt, response, verification in your own words and apply it to a realistic scenario.
A useful first habit is to treat model output as a draft that you verify, not a fact you obey.
Check the assumption "You validate claims" and explain what changes if it is false.
Check the assumption "You state constraints" and explain what changes if it is false.
Practice
Complete one guided exercise and explain your decision in plain language
Use the recap only after reading the main section
Artefact and failure modes
A short module note with one key definition and one practical example
Confident mistakes. Models can sound certain while being wrong. Confidence is not a guarantee.
Over trust. If you treat output as authority, you outsource judgement and take on hidden risk.
Optional
Planning and evidence
Objectives, timing, and CPD tracking
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If you want to start learning now, leave this closed. Come back when you want to plan your practice or keep evidence for CPD. This is guidance and it is not endorsed by awarding bodies. Standards mapping lives on the course overview page.
Learning objectives
What you will be able to do
1. Explain what an agent is and how it differs from a chatbot
You need a clean mental model of what an agent is before tools make sense.
2. Run a small model locally and describe what it can and cannot do
Basic prompting and safe tool use are the minimum to avoid silly failures.
3. Follow a simple ReAct loop and explain why each step exists
I focus on simple reasoning loops so you can follow what the agent is doing.
4. Use basic prompt safety rules to avoid accidental harm
Early risk awareness keeps you safe when you start experimenting.
What comes next
Next I introduce memory and tool design because that is where real capability appears.
Each level is independent but clearly deeper than the last. This panel makes the jump explicit.
Assessment intent
Foundations
Understand the core ReAct, tool, and memory patterns.
Style
mixed
50 questions
75 min timed
Pass standard
70%
Not externally certified
Learning contract
Foundations outcomes
About 20 hours
Read the explanation first, then use the tools to test the idea. Skip any tool that is not useful for your goal.
Explain what an agent is and how it differs from a chatbot
Run a small model locally and describe what it can and cannot do
Follow a simple ReAct loop and explain why each step exists
Use basic prompt safety rules to avoid accidental harm
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Next step
Practise this level, then take the timed assessment
I recommend you start with the practice assessment for Foundations. It is not timed and it helps you write a clear CPD reflection before the full assessment.
50
Questions
75
Minutes
70%
Pass mark
Practice assessment
Start the practice assessment for Foundations
It is designed for confidence and evidence, and you can retry as often as you need.
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