Collective Learning AI
Where expertise lives, and grows.
Collective minds. Individual futures.
Two platforms powered by a village of AI expert agents, delivering personalised career development, interactive upskilling courses, and deep AI literacy at any scale.
Building on Macquarie University’s innovation ecosystem, in partnership with the Centre of Applied Artificial Intelligence.
See it in action
Watch the platform work.
A ten-minute walkthrough of Expert Village, Academy, and the profile that ties them together — no form, no call.
Expert Village
A village of experts, always ready.
The village is not just a product. It is the intelligence layer beneath everything — a living knowledge graph, continuously updated, shared by every expert and accessible by every learner.
Computer science is our first village. The same model — resident experts on a shared knowledge graph — is expanding to further fields.
When your career path crosses disciplines, your User DNA travels with you. Every expert you speak with sees the same evolving profile, so the guidance you get stays consistent across domains.
Consider a learner moving toward machine learning engineering: the data science expert probes modelling judgement, the data engineering expert covers pipelines and reliability, the backend engineering expert weighs architecture trade-offs, and the cybersecurity expert checks secure habits — one connected picture of the same career.
All seven residents are live today, in the computer science village.
Agent resident
Data science
Modelling, statistics, and reasoning over messy data.
Agent resident
Data analytics
SQL, dashboards, and the story in the numbers.
Agent resident
Data engineering
Pipelines and the systems that move data reliably.
Agent resident
Cybersecurity
Threat thinking and secure habits under pressure.
Agent resident
UI/UX design
Design decisions and evidence from real users.
Agent resident
Backend engineering
APIs, architecture, and production trade-offs.
Agent resident
Machine learning
Model choices and applied ML judgement.
Matching guide
Mentor match
Not sure where to start? A short conversation routes you to the right expert.
What we do
Three pillars of collective intelligence.
Career development
Personalised pathway mapping across disciplines and seniority levels. Expert Village identifies where you are, where you want to go, and how to get there — grounded in a curated knowledge graph and your evolving User DNA.
Upskilling on demand
Evidence-backed skill-gap analysis across Knowledge, Skills, and Creativity. Interactive courses delivered by expert agents, personalised to your pace, goals, and available time — with an expert agent always available to answer.
AI literacy
Understanding AI is foundational for every profession. Our agents build AI literacy alongside domain expertise — concepts, critical evaluation, and practical application — so every learner navigates an AI-enabled world with confidence.
How it works
The village at work, for you.
Every interaction with the village is grounded in structured knowledge, personalised to your evidence-backed capability profile, and explainable at every step. The two platforms work together.
Your career plan shapes what Academy recommends. Every course you complete updates your career profile. The loop never stops.
Build your User DNA
Your professional profile is constructed across Knowledge, Skills, and Creativity — evidence-backed, timestamped, and evolving as you grow. Not a static profile but a living biography, shared with every expert you speak with.
Meet your expert agents
Role-specific AI agents, each a subject-matter expert in its domain, draw on the shared knowledge graph to deliver personalised, grounded guidance — and your profile follows you between experts.
Learn with interactive courses
Take structured courses delivered by expert agents in Academy. Ask about the content, your study schedule, or how a skill connects to your career at any moment — the agent responds with answers tailored to you.
Grow the collective
Every course you complete, every skill you demonstrate, and every assessment you pass updates your User DNA — sharpening the guidance and recommendations you get next.
Our products
Two platforms. One collective intelligence.
Both products share a single underlying intelligence: the Expert Village knowledge graph and a shared network of AI expert agents. Together they cover career growth and professional upskilling end to end.
Product 01
Expert Village
A persistent ecosystem of AI expert agents — each a resident subject-matter expert — backed by a provenance-aware, time-evolving knowledge graph. Personalised career pathway mapping, skill-gap analysis, and capability views for individuals, teams, and universities.
One shared career-capability knowledge graph beneath every conversation
Role-specific expert personas grounded in real domains
Time-aware User DNA tracking your professional growth
Explainable skill-gap analysis with confidence-scored recommendations
Coach console for team capability views
Product 02
Academy
An interactive platform where Expert Village agents deliver structured upskilling and career-development courses, fully interactive throughout each session. Ask about content, your schedule, or how a skill connects to your career — the agent knows you and responds accordingly.
Structured courses delivered by AI subject-matter agents
Real-time interaction during lessons — any question, any time
Content, study planning, career alignment, and cross-domain links
Personalised pace and sequence from your User DNA
Completion evidence fed back to your profile
Academy
Not a course. A conversation.
Academy delivers structured courses with modules, progress tracking, and completion evidence — with a live, interactive AI tutor beside every lesson, not just a video player.
Ask anything, at any moment, during the session. The tutor is grounded in the lesson you are studying and its domain — and every course you complete writes evidence back to your User DNA, so the platform’s guidance keeps getting more yours.
Content questions
Clarify concepts, go deeper on any topic, or ask for real-world examples mid-lecture.
Study planning
Structure your weekly schedule, manage deadlines, and pace your progress.
Career alignment
Ask how the course topic connects to the roles you are exploring.
Cross-domain links
Explore how this topic connects to other fields — the agent bridges disciplines.
Your mentor
Delivering lecture · Module 3 of 8
“Cognitive load theory, developed by John Sweller, proposes that our working memory has a limited capacity. In interface design, every visual element, interaction step, and piece of text competes for the same finite cognitive resource. Good design manages this load deliberately…”
Ask anything
How does this connect to transformer attention from the data science module?
Great connection — both describe limited processing capacity from different angles. Transformer attention is computational; cognitive load is biological. Section 3.4 links them well for your UX context.
I only have four hours this week. What is most critical for my UX role?
Focus on sections 3.2 and 3.4 — they directly address interaction-design work. Skip 3.3 for now; it matters more for researchers at a later stage.
Watch a real lecture
User DNA
A professional persona that grows with you.
Your User DNA is not a snapshot. It is a time-aware, evidence-backed record of your capability across knowledge, skills, and creativity. Not a static profile — a living professional biography.
It is shared between Expert Village and Academy: every assessment you complete, every course you finish, and every skill you demonstrate updates it — and every expert you speak with sees the same evolving picture, for as long as you keep learning.
How a profile evolves
One example profile, at two moments.
After a first assessment
After more learning
Example profile — demonstration data.
The best expert answers your question.
The best village answers your career.
Collective Learning AI · Collective minds. Individual futures.
About
About Collective Learning
Collective Learning AI is a career-intelligence and interactive-learning company building on Macquarie University’s innovation ecosystem, in partnership with the Centre of Applied Artificial Intelligence.
Its two products share one knowledge graph: Expert Village, where AI personas assess capability across Knowledge, Skills, and Creativity — and Academy, whose interactive courses feed completion evidence back into each learner’s profile.
Governance and contact
For procurement, security, or partnership questions: contact@collectivelearning.ai
Level 1, 3 Innovation Road, Macquarie Park NSW 2113
Flagship program
Responsible AI and data governance for leaders and builders.
Organisations and universities are scaling AI across operations, teaching, and customer touchpoints just as Australian regulatory expectations take shape. That creates two practical needs: governance literacy for accountable leaders, and audit-ready delivery habits for the teams building AI systems.
Our hybrid program builds both. Developed with Macquarie University, it pairs structured e-learning with expert-agent-led workshops, customised to your organisation’s own policies, frameworks, and documents in sessions with your subject-matter experts. Most recently, it was delivered for a major Australian telco.
Course questions answered by expert AI mentors at any hour, throughout the program.
Workshops that produce working artefacts — risk registers, model cards, evidence packs, and red-team plans.
The program at a glance
4 weeks
Hybrid — e-learning and workshops
5–7 hours
A week, per track
AI and data leaders
Strategy and governance literacy for the people accountable for AI decisions.
AI and data builders
Technical delivery and audit readiness for the people shipping AI systems.
E-learning grounded in academic literature, ISO 27001, 42001, and 42005, and Australian policy. Workshops run on scenario simulation and your own case studies.
Join the village.
Collective minds. Individual futures.
Bring Expert Village and Academy to your organisation or university — we’ll walk you through the platform on your own use case.
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