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Campus · startup path

Launch · Level C

Full curriculum document

Campus students building a real AI product with users

6 units450 guided hours12 months → Demo DayCambridge Level 3 (advanced)CBE & Cambridge Technicals aligned

Contents · 6 units

  1. 1Problem, customer, evidenceLNC-U1 · Months 1–2 · 70 GLH · Internal portfolio
  2. 2Design & prototype the solutionLNC-U2 · Months 3–4 · 80 GLH · Internal portfolio
  3. 3From validated idea to AI MVPLNC-U3 · Months 5–7 · 110 GLH · Internal portfolio
  4. 4Team, execution & operating cadenceLNC-U4 · Months 8–9 · 60 GLH · Internal portfolio
  5. 5Traction, growth & business modelLNC-U5 · Months 10–11 · 70 GLH · Portfolio + exam
  6. 6Demo Day & the raiseLNC-U6 · Month 12 · 60 GLH · Portfolio + exam

Overview & approach

A startup is not an idea — it is a testable belief about a real problem. Launch begins from the problem and the person who has it, then earns the right to build by validating the belief before writing production code.

The first-principles learning loop

  1. 1Problem
  2. 2Understanding
  3. 3Reasoning
  4. 4Design
  5. 5Implementation
  6. 6Testing
  7. 7Reflection
  8. 8Improvement

Every unit runs this loop, then goes round again — deeper each time.

Competencies, values & contemporary issues

7 CBE core competencies

  • Communication & collaboration
  • Critical thinking & problem solving
  • Creativity & imagination
  • Citizenship
  • Digital literacy
  • Learning to learn
  • Self-efficacy

Values

  • Integrity
  • Responsibility
  • Respect
  • Excellence
  • Unity
  • Patriotism

Pertinent & contemporary issues

  • Digital citizenship & online safety
  • Data protection & privacy
  • AI ethics, bias & fairness
  • Environmental sustainability (compute cost)
  • Financial literacy & entrepreneurship
  • Inclusion & accessibility
  • Mental well-being & healthy screen habits
  • Career & life skills

The 6 units in full

1

LNC-U1 · Level 3 · Months 1–2 · 70 GLH · Internal portfolio

Problem, customer, evidence

Strand: Customer discovery & validation

Key inquiry: “How do we know a problem is real and worth solving — before we build anything?”

You ship: A validated problem brief backed by real customer interviews and a riskiest-assumption test.

LO1 · Discovery

  • AC 1.1 Identify a real problem and the segment that has it
  • AC 1.2 Run customer interviews about past behaviour, not opinions

LO2 · Validation

  • AC 2.1 Name the riskiest assumption and design a test for it
  • AC 2.2 Decide go / pivot / stop from the evidence

Core competencies

  • Critical thinking & problem solving
  • Communication & collaboration
  • Citizenship

PCIs addressed

  • Financial literacy & entrepreneurship
  • Career & life skills

Hands-on practice

  • Interview ten people with the problem; synthesise patterns.
  • Run a landing-page or concierge test of the core assumption.
  • Present a go/no-go decision backed by data.

Unit grading (Pass · Merit · Distinction)

PassGathers evidence with guidance.
MeritIndependently validates a riskiest assumption.
DistinctionProduces investor-grade evidence for a real opportunity.
2

LNC-U2 · Level 3 · Months 3–4 · 80 GLH · Internal portfolio

Design & prototype the solution

Strand: Product design & prototyping

Before this unit: A validated problem brief (Unit 1).

Key inquiry: “Before building for real, how do we test that our solution shape actually works for users?”

You ship: A tested, clickable prototype validated with real users against the problem.

LO1 · Design the flow

  • AC 1.1 Map the user journey and design the core flow
  • AC 1.2 Make the flow simple, inclusive and accessible

LO2 · Prototype & test

  • AC 2.1 Build a clickable prototype of the core value
  • AC 2.2 Run usability tests and iterate on the evidence

Core competencies

  • Creativity & imagination
  • Communication & collaboration
  • Critical thinking & problem solving

PCIs addressed

  • Inclusion & accessibility
  • Career & life skills

Hands-on practice

  • Storyboard the core user journey end to end.
  • Build a clickable prototype and test it with five users.
  • Cut every feature that is not the core value.

Unit grading (Pass · Merit · Distinction)

PassPrototypes with support.
MeritRuns usability tests and iterates independently.
DistinctionValidates a solution shape users clearly want.
3

LNC-U3 · Level 3 · Months 5–7 · 110 GLH · Internal portfolio

From validated idea to AI MVP

Strand: Product engineering with AI

Before this unit: A validated brief and a tested prototype (Units 1–2).

Key inquiry: “What is the smallest AI product that delivers the core value — and nothing else?”

You ship: A deployed AI MVP (LLM/RAG or ML) in real users’ hands, instrumented for learning.

LO1 · Thin-slice build

  • AC 1.1 Scope a vertical slice and build the core AI feature end to end
  • AC 1.2 Add evaluation, guardrails and a fallback for when AI is wrong

LO2 · Ship & measure

  • AC 2.1 Deploy with monitoring, activation and retention metrics
  • AC 2.2 Run a build–measure–learn loop and log what changed

Core competencies

  • Creativity & imagination
  • Critical thinking & problem solving
  • Self-efficacy

PCIs addressed

  • AI ethics, bias & fairness
  • Data protection & privacy

Hands-on practice

  • Ship the thinnest useful version to real users this month.
  • Instrument activation and retention; read the numbers weekly.
  • Red-team your own AI for safety and failure modes.

Unit grading (Pass · Merit · Distinction)

PassShips a working MVP for the happy path.
MeritAdds evaluation, metrics and iterates independently.
DistinctionShips a measured, hardened MVP with real retained users.
4

LNC-U4 · Level 3 · Months 8–9 · 60 GLH · Internal portfolio

Team, execution & operating cadence

Strand: Team & execution

Before this unit: A live MVP with early users (Unit 3).

Key inquiry: “How does a small team ship reliably every week without burning out?”

You ship: A mentor-reviewed sprint system with clear roles and a shipping cadence you sustain.

LO1 · Team

  • AC 1.1 Define roles and run mentor-led sprints
  • AC 1.2 Give and act on peer and mentor review

LO2 · Cadence

  • AC 2.1 Plan, ship and run a retro every week
  • AC 2.2 Protect focus and a sustainable pace

Core competencies

  • Communication & collaboration
  • Self-efficacy
  • Critical thinking & problem solving

PCIs addressed

  • Career & life skills
  • Mental well-being & healthy screen habits

Hands-on practice

  • Run weekly sprints with clear owners.
  • Hold a retro and change one thing each week.
  • Track what shipped vs planned and close the gap.

Unit grading (Pass · Merit · Distinction)

PassWorks in sprints with support.
MeritRuns a reliable cadence with a team independently.
DistinctionLeads a team that ships predictably and improves.
5

LNC-U5 · Level 3 · Months 10–11 · 70 GLH · Portfolio + exam

Traction, growth & business model

Strand: Growth & venture-building

Before this unit: A shipping team and a live product (Units 3–4).

Key inquiry: “What has to be true for this to become a company, not just a project?”

You ship: A traction dashboard and a defensible business model tied to real metrics.

LO1 · Business model

  • AC 1.1 Model pricing, costs and unit economics for the product
  • AC 1.2 Choose a growth channel and test it

LO2 · Traction

  • AC 2.1 Instrument activation and retention
  • AC 2.2 Improve the metric that matters most

Core competencies

  • Communication & collaboration
  • Critical thinking & problem solving
  • Self-efficacy

PCIs addressed

  • Financial literacy & entrepreneurship
  • Career & life skills

Hands-on practice

  • Run a pricing experiment and read willingness-to-pay.
  • Build a live metrics dashboard the whole team trusts.
  • Test one growth channel and measure it honestly.

Unit grading (Pass · Merit · Distinction)

PassDefines a basic model and tracks a metric.
MeritTests growth and improves unit economics independently.
DistinctionShows real traction with a credible path to a company.
6

LNC-U6 · Level 3 · Month 12 · 60 GLH · Portfolio + exam

Demo Day & the raise

Strand: Pitching & investment readiness

Before this unit: Traction and a working model (Units 3–5).

Key inquiry: “How do you tell the true story of your product so the right people back it?”

You ship: A Demo-Day pitch, data room and investor-ready narrative delivered to a real panel.

LO1 · Narrative & pitch

  • AC 1.1 Craft a clear, evidence-led pitch and deliver it live
  • AC 1.2 Handle hard questions honestly with data

LO2 · Investment readiness

  • AC 2.1 Assemble a data room a partner could diligence
  • AC 2.2 Explain the ask, the use of funds and the milestones

Core competencies

  • Communication & collaboration
  • Creativity & imagination
  • Self-efficacy

PCIs addressed

  • Financial literacy & entrepreneurship
  • Career & life skills

Hands-on practice

  • Rehearse the pitch under fire from mentors and peers.
  • Prepare a real data room for technical due diligence.
  • Pitch at Demo Day to the hiring-partner and investor network.

Unit grading (Pass · Merit · Distinction)

PassDelivers a clear pitch with support.
MeritPitches independently with a solid data room.
DistinctionDelivers an investable pitch that earns real follow-up.

What you walk away with

A portfolio of 6 real, shipped artefacts — one per unit, assessed to standard.

  1. 1 A validated problem brief backed by real customer interviews and a riskiest-assumption test.
  2. 2 A tested, clickable prototype validated with real users against the problem.
  3. 3 A deployed AI MVP (LLM/RAG or ML) in real users’ hands, instrumented for learning.
  4. 4 A mentor-reviewed sprint system with clear roles and a shipping cadence you sustain.
  5. 5 A traction dashboard and a defensible business model tied to real metrics.
  6. 6 A Demo-Day pitch, data room and investor-ready narrative delivered to a real panel.

Assessment rubric (CBE & Cambridge)

CBE levelCambridge gradeWhat the evidence shows
Below expectationNot yet PassCannot yet demonstrate the outcome unaided; work is incomplete or does not run. Needs re-teaching and another attempt.
Approaching expectationPassMeets every assessment criterion with guidance. The artefact works for the happy path and the learner can explain what it does.
Meeting expectationMeritMeets all criteria independently, handles edge cases, evaluates the result, and justifies design decisions from first principles.
Exceeding expectationDistinctionShips a production-grade artefact to real users, critiques trade-offs (cost, latency, safety), and extends beyond the brief with original work.
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