IASEIASEEst. 2025
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Academic year 2025 / 2026

The IASE Global Curriculum.

A single, coherent body of knowledge for the AI software era — benchmarked against ACM, IEEE and the world's top computer science faculties, then rebuilt from first principles for a generation that will collaborate fluently with intelligence itself.

6
Faculties
36
Schools
318
Courses
38
Flagship programs
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Curriculum foundations

Six principles shape every course.

Portfolio over paper

Every course ends in shipped work — not a slide deck. Assessment is the artefact.

AI-assisted craft

Students collaborate with Cursor, Lovable, Claude and Codex — and are taught why the code works.

First principles

We teach the theory beneath the tool. Tools change; the underlying computer science does not.

Production reality

Curricula are built alongside working practitioners at hiring partners across 220+ companies.

Global standards

Benchmarked against ACM CS2023, IEEE SWEBOK v4, ABET and CMMI Level 5 practice.

Ethical by design

Safety, alignment, bias, privacy and rights are threaded through every faculty — not siloed.

The Common Core

Every student, every faculty, one shared foundation.

Before specialization, every IASE student completes the Common Core — a four-track foundation shared across all six faculties.

Computing Foundations

  • Systems Thinking
  • Programming with Types (TypeScript)
  • Data Structures & Algorithms
  • Databases & Data Modeling
  • Networking & the Web
  • Version Control & Collaboration

AI Foundations

  • History & Ideas of AI
  • How LLMs Work
  • Prompting & Structured Output
  • Retrieval & Memory
  • Evals & Safety
  • AI Ethics & Policy

Product & Craft

  • Product Thinking
  • Design Foundations
  • Writing for Engineers
  • User Research 101
  • Communication & Presentation
  • Career & Portfolio

Enterprise & Ethics

  • Security Foundations
  • Privacy, GDPR & Data Protection
  • Accessibility Foundations
  • Sustainability & Green Software
  • Global Compliance Overview
  • Professional Ethics

Accreditation-worthy track

Management, leadership, finance & delivery.

Benchmarked against AACSB, EQUIS, PMI (PMBOK 7), PRINCE2, CFA Institute and CIMA syllabi — so credits earned at IASE stack cleanly toward internationally recognised business and engineering-management qualifications.

Visit the Faculty of Business & Growth

School of Management & Leadership

  • Foundations of Management
  • Leading High-Performing Engineering Teams
  • Strategic Decision Making
  • Organisational Design for AI-Native Companies
  • Executive Communication & Board Craft
Explore school →

School of Financial Management

  • Corporate Finance for Founders
  • Financial Modeling & Valuation
  • SaaS Metrics, Unit Economics & Cash
  • Fundraising, Cap Tables & Term Sheets
  • Governance, Risk & Compliance
Explore school →

School of Project Management

  • PMBOK 7 in Practice
  • Agile, Scrum & Scaled Delivery (SAFe)
  • PRINCE2 for Regulated Programmes
  • Product-Led Program Management
  • AI-Assisted Project Ops
Explore school →

School of Entrepreneurship & Operations

  • Zero-to-One Company Building
  • Go-to-Market & Revenue Operations
  • Global Operations for Software Companies
  • Hiring, People Ops & Culture
  • Sustainability & Responsible Growth
Explore school →

Full syllabus

Six faculties. Thirty-six schools. Every course.

Faculty F01

Faculty of AI Software Engineering

Production-grade systems: enterprise platforms, SaaS, mobile, desktop, APIs and cloud infrastructure.

Visit the faculty →
S01

School of Enterprise Software Engineering

Mission-critical systems for Fortune 500-grade operations.

+
Courses
  1. 01Enterprise Architecture Foundations
  2. 02Domain-Driven Design & Event Storming
  3. 03Distributed Systems & Consistency Models
  4. 04Microservices, Modular Monoliths & Service Meshes
  5. 05Enterprise Data Modeling
  6. 06Message Queues & Event-Driven Systems (Kafka, NATS)
  7. 07Observability, SLOs & Incident Response
  8. 08Enterprise Security & Compliance (SOC 2, ISO 27001)
  9. 09Cost Engineering & FinOps
  10. 10Capstone: Enterprise Platform in Production
Outcomes
  • — Design distributed systems that handle 10M+ daily users
  • — Model complex enterprise domains with DDD and event storming
  • — Ship software that meets SOC 2, ISO 27001 and HIPAA controls
  • — Lead architectural reviews and technical due diligence
Full school page →
Flagship programs
S02

School of SaaS Engineering

Full-lifecycle SaaS — from schema to billing to churn.

+
Courses
  1. 01Multi-Tenant Architecture Patterns
  2. 02Auth, Roles, RBAC & Organizations
  3. 03Subscription Billing with Stripe & Paddle
  4. 04Usage Metering & Consumption-Based Pricing
  5. 05Product Analytics & Growth Instrumentation
  6. 06Onboarding, Activation & Retention Loops
  7. 07Enterprise Admin Consoles
  8. 08Compliance for SaaS (GDPR, DPA, SCC)
  9. 09Support, SLAs & Incident Communications
  10. 10Capstone: Ship a Paying SaaS
Outcomes
  • — Architect multi-tenant systems with row-level security
  • — Implement subscription billing, trials, coupons and dunning
  • — Design and instrument activation, retention and expansion loops
  • — Ship weekly to production behind feature flags
Full school page →
Flagship programs
S03

School of Mobile Engineering

Cross-platform AI apps that ship to millions of devices.

+
Courses
  1. 01Mobile UX Foundations & Human Interface Guidelines
  2. 02React Native + Expo (Deep Dive)
  3. 03Flutter Fundamentals
  4. 04Native Modules & Platform APIs
  5. 05On-Device AI (CoreML, MLKit, ONNX)
  6. 06Offline-First & Sync Architectures
  7. 07Push Notifications & Background Tasks
  8. 08App Store & Play Store Release Engineering
  9. 09Mobile Analytics & Experimentation
  10. 10Capstone: Ship a Mobile App to Both Stores
Outcomes
  • — Ship apps to the App Store and Play Store
  • — Design offline-first, sync-aware mobile architectures
  • — Integrate on-device and cloud AI models
  • — Instrument mobile-native analytics, crash reporting and A/B tests
Full school page →
Flagship programs
S04

School of Desktop Engineering

Native and cross-platform desktop with AI as the interface.

+
Courses
  1. 01Desktop UX Foundations
  2. 02Tauri (Rust + Web) Deep Dive
  3. 03Electron & Cross-Platform Packaging
  4. 04Native macOS (Swift/SwiftUI) & Windows (WinUI)
  5. 05Local AI Runtimes (llama.cpp, Ollama, MLC)
  6. 06File System, Shell & OS Integrations
  7. 07Code Signing, Notarization & Auto-Update
  8. 08Performance & Latency Engineering
  9. 09Capstone: Ship a Signed Desktop App
Outcomes
  • — Ship signed installers for macOS, Windows and Linux
  • — Design keyboard-first, latency-sensitive UIs
  • — Integrate local models and system APIs
  • — Build auto-update and crash-reporting pipelines
Full school page →
Flagship programs
S05

School of API Engineering

APIs as products — auth, scale, DX and monetization.

+
Courses
  1. 01REST, GraphQL & tRPC/gRPC Compared
  2. 02API Design Principles & Versioning
  3. 03Auth, Keys, OAuth & JWTs
  4. 04Rate Limiting, Quotas & Fair Use
  5. 05SDK Design & Codegen Pipelines
  6. 06Developer Portals & Documentation
  7. 07API Monetization & Metering
  8. 08Webhooks, Streaming & Long-Running Jobs
  9. 09Capstone: Ship a Paid Public API
Outcomes
  • — Design REST, GraphQL and RPC APIs that scale
  • — Ship SDKs in 3+ languages with typed clients
  • — Monetize APIs with metering, rate limits and tiers
  • — Author documentation that developers love
Full school page →
Flagship programs
S06

School of Cloud & DevOps Engineering

Multi-cloud infrastructure augmented by AI.

+
Courses
  1. 01Cloud Foundations (AWS · GCP · Azure)
  2. 02Infrastructure as Code (Terraform · Pulumi)
  3. 03Kubernetes in Production
  4. 04Progressive Delivery & GitOps
  5. 05Observability (OpenTelemetry, Grafana, Datadog)
  6. 06Incident Response & Postmortems
  7. 07Security in the Cloud
  8. 08FinOps & Cloud Cost Engineering
  9. 09Edge Compute (Cloudflare, Fly.io)
  10. 10Capstone: Ship a Multi-Region Platform
Outcomes
  • — Design multi-region, multi-cloud architectures
  • — Automate CI/CD, IaC and progressive delivery
  • — Instrument SLIs/SLOs and lead incidents
  • — Drive cloud cost down 30–70%
Full school page →
Flagship programs
Faculty F02

Faculty of Artificial Intelligence

The intelligence layer of modern software: models, agents, LLM systems and generative pipelines.

Visit the faculty →
S07

School of AI Engineering

The intelligence layer of modern software.

+
Courses
  1. 01The Modern AI Stack
  2. 02Prompting & Structured Output
  3. 03Retrieval-Augmented Generation (RAG)
  4. 04Vector Databases & Hybrid Search
  5. 05Tool Use, Function Calling & Agents
  6. 06Long-Term Memory Architectures
  7. 07Evals, Golden Sets & LLM-as-Judge
  8. 08Guardrails, Safety & Content Policy
  9. 09Cost, Latency & Model Routing
  10. 10Capstone: Ship an AI Feature to Production
Outcomes
  • — Design retrieval, memory and tool-use architectures
  • — Build robust evals and regression suites for AI features
  • — Guardrail LLM systems for safety and cost
  • — Ship AI features that survive real user traffic
Full school page →
Flagship programs
S08

School of AI Agents & Automation

Design, deploy and operate autonomous agents.

+
Courses
  1. 01Agent Architectures (ReAct, Plan-and-Solve, Reflexion)
  2. 02Multi-Agent Systems & Orchestration
  3. 03Durable Execution & State Machines
  4. 04Browser, Code and OS Agents
  5. 05RPA + AI (Legacy System Automation)
  6. 06Human-in-the-Loop Design
  7. 07Evals for Long-Running Agents
  8. 08Agent Ops & Cost Control
  9. 09Capstone: Ship an Autonomous Agent to Production
Outcomes
  • — Design agents with planning, memory and tools
  • — Build durable, resumable agent runtimes
  • — Deploy human-in-the-loop review workflows
  • — Measure agent success with task-completion metrics
Full school page →
Flagship programs
S09

School of Machine Learning

Classical + modern ML for real business problems.

+
Courses
  1. 01Math for ML (Linear Algebra, Probability, Optimization)
  2. 02Classical ML (Regression, Trees, Ensembles)
  3. 03Deep Learning Foundations
  4. 04Feature Engineering & Data Quality
  5. 05Experiment Tracking & Reproducibility
  6. 06MLOps & Model Deployment
  7. 07Drift Detection & Retraining Loops
  8. 08Responsible ML & Fairness
  9. 09Capstone: Ship an ML System to Production
Outcomes
  • — Frame business problems as ML problems
  • — Train, evaluate and deploy models end-to-end
  • — Detect drift, retrain and version models
  • — Communicate uncertainty to non-technical stakeholders
Full school page →
Flagship programs
S10

School of Generative AI

Text, image, audio, video and 3D generation in production.

+
Courses
  1. 01Generative Models Overview
  2. 02Diffusion Models Deep Dive
  3. 03Fine-Tuning & LoRA/QLoRA
  4. 04Image, Video & Audio Pipelines
  5. 053D & Neural Rendering
  6. 06Prompt & Reference Engineering
  7. 07Content Safety & Provenance (C2PA)
  8. 08Rights, Licensing & Monetization
  9. 09Capstone: Ship a Generative Product
Outcomes
  • — Build text-to-image, video and audio pipelines
  • — Fine-tune and adapt open models
  • — Implement safety, watermarking and provenance
  • — Ship generative features to consumer scale
Full school page →
Flagship programs
S11

School of LLM Engineering

Serve, evaluate and specialize large language models.

+
Courses
  1. 01Transformer Architecture
  2. 02Tokenization, Context & Attention
  3. 03Inference Servers (vLLM, TGI, TensorRT-LLM)
  4. 04Quantization & Distillation
  5. 05SFT, DPO & RLHF
  6. 06Evals for LLMs
  7. 07Model Routing & Gateways
  8. 08Self-Hosting Open Models
  9. 09Capstone: Ship a Custom LLM Stack
Outcomes
  • — Serve open models at production latency and cost
  • — Fine-tune and align models to specific domains
  • — Distill and quantize for edge deployment
  • — Build in-house model gateways and routers
Full school page →
Flagship programs
S12

School of Prompt Engineering

The linguistics of intelligence.

+
Courses
  1. 01Anatomy of a Prompt
  2. 02Structured Output & Schemas
  3. 03Few-Shot, CoT, ToT & Advanced Techniques
  4. 04Prompt Injection & Defense
  5. 05Prompt Versioning & CI
  6. 06Prompt Evals & Regression Testing
  7. 07Multi-Model Prompt Portability
  8. 08Prompt Libraries for Teams
  9. 09Capstone: Build a Production Prompt System
Outcomes
  • — Design prompts that are robust across model versions
  • — Version, test and deploy prompts like code
  • — Build prompt libraries for teams
  • — Measure prompt quality with formal evals
Full school page →
Flagship programs
Faculty F03

Faculty of Interactive Computing

Immersive, spatial and gameful software: XR, digital twins, real-time 3D and AI games.

Visit the faculty →
S13

School of AI Game Development

AI-assisted workflows in Godot, Unity and Unreal.

+
Courses
  1. 01Game Design Fundamentals
  2. 02Godot Deep Dive
  3. 03Unity for AI Games
  4. 04Unreal Engine Basics
  5. 05Procedural Content Generation
  6. 06AI NPCs & Behavior Trees
  7. 07Multiplayer & Netcode
  8. 08Publishing & Live Ops
  9. 09Capstone: Ship a Playable Game
Outcomes
  • — Ship a complete playable game
  • — Integrate generative pipelines into game production
  • — Design AI-driven NPCs and systems
  • — Publish to Steam, itch.io or mobile stores
Full school page →
Flagship programs
S14

School of XR Engineering (VR / AR / MR)

Immersive engineering for the spatial era.

+
Courses
  1. 01XR Hardware & Platforms Overview
  2. 02Unity XR Toolkit
  3. 03Unreal XR & OpenXR
  4. 04visionOS & Apple Spatial
  5. 05WebXR
  6. 06Spatial UI & Interaction Design
  7. 07Locomotion, Comfort & Accessibility
  8. 08Enterprise XR Deployments
  9. 09Capstone: Ship an XR Experience
Outcomes
  • — Ship XR apps to Quest, Vision Pro and mobile AR
  • — Design spatial UI that respects human comfort
  • — Integrate hand, eye and body tracking
  • — Deploy XR in enterprise training contexts
Full school page →
Flagship programs
S15

School of Spatial Computing

Interfaces that understand space, motion and intent.

+
Courses
  1. 01Spatial Computing Foundations
  2. 02SLAM & Scene Understanding
  3. 03Spatial Anchors & Persistence
  4. 04ARKit, ARCore & MRTK
  5. 05Multi-User Spatial Sessions
  6. 063D Audio & Haptics
  7. 07Spatial Data & Analytics
  8. 08Capstone: Ship a Spatial Application
Outcomes
  • — Build apps with persistent spatial anchors
  • — Integrate SLAM, depth and scene understanding
  • — Design shared spatial multi-user experiences
  • — Ship on Vision Pro and Quest
Full school page →
Flagship programs
S16

School of Digital Twins

Live digital replicas of physical systems and cities.

+
Courses
  1. 01Digital Twin Foundations
  2. 02IoT & Telemetry Ingestion
  3. 03Simulation & Physics Engines
  4. 043D Reconstruction & Photogrammetry
  5. 05Real-Time Visualization
  6. 06Predictive Maintenance
  7. 07City-Scale Twins
  8. 08Capstone: Ship a Digital Twin
Outcomes
  • — Design and operate live digital twin systems
  • — Integrate IoT telemetry at scale
  • — Run simulations and what-if analyses
  • — Visualize twins in 3D and XR
Full school page →
Flagship programs
S17

School of 3D Software Engineering

Real-time 3D, WebGPU and the next generation of interfaces.

+
Courses
  1. 013D Math & Linear Algebra
  2. 02three.js & React Three Fiber
  3. 03WebGPU Foundations
  4. 04Shader Programming (GLSL/WGSL)
  5. 05Physics & Animation
  6. 06Asset Pipelines (glTF, USD)
  7. 07Performance & GPU Profiling
  8. 08Capstone: Ship a 3D Product
Outcomes
  • — Ship performant 3D on the web and native
  • — Author shaders and rendering pipelines
  • — Integrate physics, animation and IK
  • — Optimize for mobile GPUs
Full school page →
Flagship programs
Faculty F04

Faculty of Product & Innovation

Turning technology into products, companies and category-defining teams.

Visit the faculty →
S18

School of AI Product Engineering

Engineers who own the product outcome.

+
Courses
  1. 01Product Thinking for Engineers
  2. 02Writing PRDs & Specs
  3. 03Lightweight User Research
  4. 04Prototyping with AI Tools
  5. 05Product Analytics
  6. 06Experimentation & A/B Testing
  7. 07Roadmapping & Prioritization
  8. 08Capstone: Own a Product Line
Outcomes
  • — Write PRDs that ship
  • — Run lightweight user research
  • — Instrument products for outcome metrics
  • — Lead cross-functional product squads
Full school page →
Flagship programs
S19

School of Product Management

AI-native product leadership.

+
Courses
  1. 01Product Discovery in the AI Era
  2. 02Opportunity Solution Trees
  3. 03AI Product Strategy
  4. 04Roadmapping for Uncertainty
  5. 05Metrics for AI Products
  6. 06Managing AI Risks (Hallucination, Bias, Cost)
  7. 07Leading Cross-Functional Teams
  8. 08Capstone: Ship an AI Product Line
Outcomes
  • — Lead AI-native product discovery
  • — Set outcome-based roadmaps
  • — Partner deeply with engineering and design
  • — Navigate AI-specific risks
Full school page →
Flagship programs
S20

School of UX Engineering

The craft between design and engineering.

+
Courses
  1. 01Design Systems in Code
  2. 02Accessibility Engineering
  3. 03Motion & Interaction Design
  4. 04Typography & Layout Systems
  5. 05Prototyping with Framer & React
  6. 06Design Tokens & Theming
  7. 07Component API Design
  8. 08Capstone: Ship a Design System
Outcomes
  • — Build production design systems
  • — Ship interfaces that meet WCAG 2.2 AA
  • — Design and implement rich motion
  • — Prototype at production quality
Full school page →
Flagship programs
S21

School of Startup Engineering

The full-stack founder-engineer.

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Courses
  1. 01The Founding-Engineer Playbook
  2. 02Company Formation & Cap Tables
  3. 03Fundraising 101 (Angel, Pre-Seed, Seed)
  4. 04Hiring the First 5
  5. 05GTM for Engineers
  6. 06Startup Legal & Compliance
  7. 07Operating a Remote Company
  8. 08Capstone: Launch a Startup
Outcomes
  • — Ship a live product with paying users
  • — Raise pre-seed capital or reach ramen profitability
  • — Hire the first 3 people
  • — Set up the operating stack of a modern startup
Full school page →
Flagship programs
S22

School of Venture Building

The systematic craft of building companies.

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Courses
  1. 01Venture Building as a Discipline
  2. 02Systematic Ideation
  3. 03Rapid Validation Sprints
  4. 04Studio Operating Models
  5. 05Shared Services & Platforms
  6. 06Portfolio Strategy
  7. 07Exit Paths (M&A, Spin-out, IPO)
  8. 08Capstone: Launch a Venture Inside a Studio
Outcomes
  • — Run an idea-to-launch pipeline
  • — Validate ventures in weeks, not years
  • — Build repeatable playbooks
  • — Scale portfolios of ventures
Full school page →
Flagship programs
Faculty F05

Faculty of Enterprise Technology

Regulated, mission-critical software for the industries that run the world.

Visit the faculty →
S23

School of Cybersecurity

Offensive and defensive AI security.

+
Courses
  1. 01Security Foundations
  2. 02Cloud Security (AWS/GCP/Azure)
  3. 03Application Security & OWASP
  4. 04LLM Red-Teaming & OWASP LLM Top 10
  5. 05Prompt Injection & Defense
  6. 06Supply Chain Security
  7. 07Detection & Response
  8. 08Compliance (SOC 2, ISO, HIPAA, PCI)
  9. 09Capstone: Full Security Program
Outcomes
  • — Red-team AI systems responsibly
  • — Defend LLM apps against injection and data leaks
  • — Lead security reviews for AI features
  • — Implement zero-trust cloud architectures
Full school page →
Flagship programs
S24

School of FinTech Engineering

Money-moving software done right.

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Courses
  1. 01FinTech Landscape & Regulation
  2. 02Double-Entry Ledgers
  3. 03Payments & Card Networks
  4. 04KYC / AML / Sanctions
  5. 05Banking-as-a-Service Integrations
  6. 06Lending & Underwriting
  7. 07Crypto & Stablecoin Rails
  8. 08PCI DSS & SOC 2 for FinTech
  9. 09Capstone: Ship a FinTech Product
Outcomes
  • — Design ledgers and money-movement systems
  • — Integrate KYC, AML and sanctions screening
  • — Ship PCI-compliant payment flows
  • — Partner with banks and BaaS providers
Full school page →
Flagship programs
S25

School of HealthTech Engineering

Software for the hardest, most regulated domain.

+
Courses
  1. 01Healthcare Systems Overview
  2. 02HIPAA & Data Protection
  3. 03FHIR & HL7 Integrations
  4. 04EHR Integrations (Epic, Cerner)
  5. 05Clinical Workflows
  6. 06AI in Diagnostics & Triage
  7. 07SaMD & Regulatory Pathways
  8. 08Telehealth Architectures
  9. 09Capstone: Ship a HealthTech Product
Outcomes
  • — Design HIPAA-compliant architectures
  • — Integrate with EHRs via FHIR and HL7
  • — Ship AI-assisted clinical tools responsibly
  • — Navigate FDA SaMD guidance
Full school page →
Flagship programs
S26

School of EduTech Engineering

Learning platforms for the AI generation.

+
Courses
  1. 01Learning Science Foundations
  2. 02LMS Architectures
  3. 03AI Tutors & Socratic Systems
  4. 04Assessment & Grading Automation
  5. 05Credentials & Open Badges
  6. 06Content Authoring Pipelines
  7. 07Accessibility in Education
  8. 08Capstone: Ship an EduTech Product
Outcomes
  • — Design personalized learning systems
  • — Ship AI tutors and graders responsibly
  • — Build credential and assessment platforms
  • — Support learners at scale
Full school page →
Flagship programs
S27

School of GovTech Engineering

Public-interest software at national scale.

+
Courses
  1. 01Digital Public Infrastructure
  2. 02Identity Systems
  3. 03Benefits & Case Management
  4. 04Open Data & APIs
  5. 05Accessibility & Plain Language
  6. 06Government Cloud & Compliance
  7. 07Public Procurement
  8. 08Capstone: Ship a GovTech Service
Outcomes
  • — Design digital public infrastructure
  • — Integrate national ID and payments rails
  • — Ship accessible, multi-language services
  • — Navigate procurement and compliance
Full school page →
Flagship programs
S28

School of PropTech Engineering

Software for the built environment.

+
Courses
  1. 01Real Estate Systems Overview
  2. 02MLS & Listing Data
  3. 03Transaction & Escrow Workflows
  4. 04Property Management Systems
  5. 05Smart Building IoT
  6. 06Construction Tech
  7. 07Geospatial Foundations
  8. 08Capstone: Ship a PropTech Product
Outcomes
  • — Ship real estate marketplaces
  • — Integrate MLS and listing feeds
  • — Build smart-building integrations
  • — Model complex real estate transactions
Full school page →
Flagship programs
S29

School of HospitalityTech Engineering

Software for hotels, restaurants and travel.

+
Courses
  1. 01Hospitality Systems Overview
  2. 02Booking Engines
  3. 03PMS & POS Integrations
  4. 04Channel Managers
  5. 05Guest Experience Design
  6. 06Loyalty & CRM
  7. 07Global Payments & Taxes
  8. 08Capstone: Ship a Hospitality Product
Outcomes
  • — Ship booking and reservation systems
  • — Integrate PMS, POS and channel managers
  • — Design guest-experience journeys
  • — Handle payments and taxes globally
Full school page →
Flagship programs
S30

School of LegalTech Engineering

AI meets the practice of law.

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Courses
  1. 01Legal Systems Overview
  2. 02Contract Analysis & Automation
  3. 03Document Review & eDiscovery
  4. 04Case & Matter Management
  5. 05AI in Legal Research
  6. 06Privilege, Ethics & Confidentiality
  7. 07Access to Justice Products
  8. 08Capstone: Ship a LegalTech Product
Outcomes
  • — Ship document automation and review tools
  • — Integrate AI into legal workflows responsibly
  • — Design case and matter management systems
  • — Understand privilege, ethics and confidentiality
Full school page →
Flagship programs
Faculty F06

Faculty of Business & Growth

The commercial engine — AI-native marketing, sales engineering, customer success and revenue ops.

Visit the faculty →
S31

School of AI Marketing

Growth engineering with AI in the loop.

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Courses
  1. 01Modern Growth Foundations
  2. 02SEO & Programmatic Content
  3. 03Paid Acquisition (Meta, Google, TikTok)
  4. 04Lifecycle & Email Marketing
  5. 05Brand & Positioning
  6. 06Growth Experimentation
  7. 07Marketing Analytics & Attribution
  8. 08Capstone: Run a Growth Program
Outcomes
  • — Run full-funnel growth programs
  • — Ship SEO and content at scale with AI
  • — Design paid acquisition experiments
  • — Instrument lifecycle and retention
Full school page →
Flagship programs
S32

School of Sales Engineering

Technical sales for AI-native products.

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Courses
  1. 01Sales Engineering Foundations
  2. 02Discovery & Solutioning
  3. 03Building POCs Fast
  4. 04Enterprise Buying Motions
  5. 05Security Reviews & MSAs
  6. 06Demo Craft
  7. 07Partner & Channel Motion
  8. 08Capstone: Close an Enterprise POC
Outcomes
  • — Run technical POCs end-to-end
  • — Architect solutions for enterprise buyers
  • — Partner with AEs to close 6- and 7-figure deals
  • — Build reusable sales engineering assets
Full school page →
Flagship programs
S33

School of Management & Leadership

Lead technical organizations with clarity and craft.

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Courses
  1. 01Foundations of Engineering Management
  2. 02Organizational Design for Software Teams
  3. 03Hiring, Performance & Compensation
  4. 04Coaching, Feedback & Difficult Conversations
  5. 05Strategy, OKRs & Roadmapping
  6. 06Leading Through Change & Reorganizations
  7. 07Executive Communication & Board Reporting
  8. 08Cross-functional Leadership (Product, Design, GTM)
  9. 09Diversity, Equity & Inclusive Leadership
  10. 10Capstone: Lead a Cross-team Initiative
Outcomes
  • — Set technical strategy and OKRs across multiple teams
  • — Run hiring, performance and career growth at scale
  • — Coach engineering managers and directors
  • — Communicate credibly with the board and executive peers
Full school page →
S34

School of Financial Management

The financial fluency every founder and technology leader needs.

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Courses
  1. 01Corporate Finance Foundations
  2. 02Accounting for Non-Accountants
  3. 03Unit Economics & SaaS Metrics
  4. 04Financial Modeling & Forecasting
  5. 05Fundraising: Seed to Growth
  6. 06Cap Tables, Equity & Dilution
  7. 07Budgeting, Burn & Runway Management
  8. 08Treasury, Tax & International Payments
  9. 09Board Reporting & Investor Relations
  10. 10Capstone: Ship an Investor-ready Financial Package
Outcomes
  • — Build defensible financial models and forecasts
  • — Manage burn, runway and cash flow through every stage
  • — Present investor- and board-ready financial narratives
  • — Understand accounting, tax and treasury for global companies
Full school page →
S35

School of Project & Program Management

Deliver complex software programs on time, on budget, at quality.

+
Courses
  1. 01Project Management Foundations
  2. 02Agile, Scrum & Kanban in Practice
  3. 03PMBOK & PMP Exam Preparation
  4. 04PRINCE2 Fundamentals
  5. 05Program & Portfolio Management
  6. 06Risk, Issue & Dependency Management
  7. 07Stakeholder Communication & Reporting
  8. 08Budget, Schedule & Earned Value
  9. 09SAFe & Scaling Agile Across Teams
  10. 10Capstone: Deliver a Multi-team Program
Outcomes
  • — Plan and deliver multi-team programs end-to-end
  • — Run agile, hybrid and waterfall methodologies fluently
  • — Manage risk, dependencies and stakeholder alignment
  • — Earn industry credentials (PMP, PRINCE2, PMI-ACP, SAFe)
Full school page →
S36

School of Entrepreneurship & Operations

Build and run world-class AI-native companies.

+
Courses
  1. 01Company Formation & Legal Foundations
  2. 02Founder Operating System
  3. 03People Operations & Employer of Record
  4. 04Contracts, IP & Commercial Law
  5. 05Compliance, Privacy & Security Programs
  6. 06Sales, GTM & Partnership Strategy
  7. 07International Expansion & Global Teams
  8. 08Board Governance & Advisory
  9. 09Operational Excellence & Business Continuity
  10. 10Capstone: Ship a 12-month Operating Plan
Outcomes
  • — Incorporate and structure a venture-backable company
  • — Design the operating cadence for a scaling org
  • — Build people ops, legal and compliance foundations
  • — Run go-to-market, partnerships and international expansion
Full school page →

Flagship programs · learning outcomes & prerequisites

38 programs. Every outcome. Every prerequisite.

Each program is a stand-alone qualification with a defined level, ECTS credit weight, entry requirements and shipped capstone — benchmarked against European (EQF), UK (RQF) and North American frameworks.

Faculty F01 · 8 programs

Faculty of AI Software Engineering

P02 · Advanced · 30 ECTS · 24 wks

Enterprise AI Software Engineering

Architect production systems for global scale.

$7,800
Learning outcomes
  • Design distributed AI-augmented systems handling 10M+ daily users
  • Ship code that clears SOC 2, ISO 27001 and HIPAA controls
  • Lead architectural reviews and technical due diligence
  • Operate systems with meaningful SLOs, budgets and incident practice
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A reference enterprise platform deployed to a real cloud with signed evidence of SLOs, security and cost controls.
Full program syllabus →
P03 · Advanced · 18 ECTS · 16 wks

Cloud Engineering with AI

Multi-cloud infrastructure powered by AI copilots.

$6,400
Learning outcomes
  • Ship infrastructure-as-code across three major clouds
  • Design multi-region, cost-optimised architectures
  • Build AI-augmented pipelines for deployment, observability and remediation
  • Operate cloud budgets with meaningful FinOps controls
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A live, multi-region reference cloud with cost, observability and AI-remediation controls.
Full program syllabus →
P04 · Advanced · 24 ECTS · 20 wks

Enterprise SaaS Engineering

Full-lifecycle SaaS from schema to billing to churn.

$7,200
Learning outcomes
  • Architect multi-tenant systems with proper isolation
  • Ship subscription billing, trials, coupons and dunning
  • Instrument activation, retention and expansion loops
  • Deploy weekly to production behind feature flags
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A live paying SaaS with billing, admin console, analytics and a public launch.
Full program syllabus →
P06 · Foundational · 15 ECTS · 14 wks

AI Mobile Engineering

Cross-platform AI apps with React Native and Flutter.

$4,900
Learning outcomes
  • Ship iOS and Android apps from a single codebase
  • Design mobile-native AI experiences
  • Handle offline, sync and on-device inference
  • Navigate app store submission end-to-end
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A cross-platform AI app live in the App Store and Play Store.
Full program syllabus →
P07 · Foundational · 12 ECTS · 12 wks

Desktop Software Engineering

Native and cross-platform desktop with AI as the interface.

$4,200
Learning outcomes
  • Ship cross-platform desktop apps on macOS, Windows and Linux
  • Design AI-augmented desktop workflows
  • Package, sign and distribute apps to users
  • Integrate deeply with OS-level APIs
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A signed, distributable desktop tool used by real users.
Full program syllabus →
P08 · Foundational · 10 ECTS · 10 wks

API Engineering

APIs as products — auth, scale, DX and monetization.

$3,900
Learning outcomes
  • Design REST and typed RPC APIs that developers love
  • Ship auth, rate limiting and quotas that scale
  • Version, deprecate and evolve APIs safely
  • Monetise an API with metering and billing
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A public API with docs, SDKs, billing and a live sandbox.
Full program syllabus →
P09 · Advanced · 14 ECTS · 12 wks

DevOps Engineering with AI

CI/CD, observability and platform engineering augmented by AI.

$5,400
Learning outcomes
  • Ship CI/CD pipelines augmented by AI review and remediation
  • Instrument production systems with meaningful SLOs
  • Run incident response with clear rituals and postmortems
  • Build internal platforms that other engineers actually use
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A production platform-in-a-box with pipelines, observability and AI-augmented runbooks.
Full program syllabus →
P22 · Advanced · 15 ECTS · 14 wks

Cloud & DevOps with AI

AI-accelerated platform engineering, from CI to on-call.

$5,200
Learning outcomes
  • Design multi-region cloud architectures on AWS or GCP
  • Author production Terraform, Kubernetes and Helm with AI copilots
  • Ship progressive-delivery pipelines with automatic rollback
  • Operate an on-call rotation with clean postmortems
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A production-grade platform blueprint with IaC, CI/CD, observability and a live on-call rehearsal.
Full program syllabus →
Faculty F02 · 8 programs

Faculty of Artificial Intelligence

P05 · Advanced · 18 ECTS · 16 wks

AI Agent Engineering

Design, deploy and operate autonomous agents in production.

$6,600
Learning outcomes
  • Design multi-step agents with clear planning and tool boundaries
  • Build robust evals, guardrails and human-in-the-loop patterns
  • Deploy agents that operate safely in production
  • Measure and improve agent quality with real telemetry
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: An agent shipped into a real workflow with evals, dashboards and rollback controls.
Full program syllabus →
P10 · Advanced · 22 ECTS · 18 wks

AI Infrastructure Engineering

Serving, evals and infra for AI at production scale.

$7,000
Learning outcomes
  • Design cost-aware inference and retrieval systems
  • Build eval pipelines that catch regressions before users do
  • Operate AI systems with meaningful reliability and cost budgets
  • Instrument end-to-end AI observability
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A production AI serving platform with evals, cost control and rollback.
Full program syllabus →
P11 · Foundational · 12 ECTS · 12 wks

AI Automation Engineering

Automate real business processes end-to-end.

$3,900
Learning outcomes
  • Map processes and identify high-ROI automation targets
  • Build production automations with n8n, Make and code
  • Design guardrails, retries and observability for automations
  • Handoff automations to non-technical operators
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A production automation running a real business process end-to-end.
Full program syllabus →
P21 · Foundational · 15 ECTS · 14 wks

AI Data Engineering

Pipelines, warehouses and vector stores for AI workloads.

$4,600
Learning outcomes
  • Design and operate modern data pipelines
  • Build warehouses and vector stores that support AI workloads
  • Instrument data quality and lineage
  • Ship data products with clear contracts
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A data platform powering a real AI application with contracts, quality and cost controls.
Full program syllabus →
P23 · Advanced · 15 ECTS · 14 wks

AI Agents & Automation Engineering

Build reliable multi-agent systems that do real work.

$5,400
Learning outcomes
  • Design tool-using agents with clear task boundaries
  • Instrument traces, evals and cost per task
  • Compose multi-agent workflows with human-in-the-loop
  • Deploy agents into a real business process with SLAs
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A production agent embedded in a real workflow with traces, evals and a signed operations runbook.
Full program syllabus →
P24 · Foundational · 12 ECTS · 12 wks

Generative AI Engineering

Ship products across text, image, audio and video models.

$4,400
Learning outcomes
  • Compose multimodal generative pipelines
  • Fine-tune and adapt open models for domain tasks
  • Design evaluation harnesses for creative output
  • Ship a generative product with content safety controls
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A shipped multimodal generative product with an eval suite and a public safety policy.
Full program syllabus →
P25 · Advanced · 15 ECTS · 14 wks

LLM Engineering

The full LLM stack — retrieval, fine-tuning, evals, serving.

$5,800
Learning outcomes
  • Design and evaluate retrieval-augmented systems
  • Fine-tune and distill open models for production
  • Build reproducible eval harnesses with cost accounting
  • Serve LLMs with SLOs and safety controls
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A domain LLM system with retrieval, fine-tuning, evals and a hardened serving stack.
Full program syllabus →
P26 · Foundational · 8 ECTS · 8 wks

Prompt Engineering Mastery

Rigorous, evaluated prompt engineering as a professional craft.

$2,800
Learning outcomes
  • Design structured, versioned prompt systems
  • Build eval harnesses that catch regressions
  • Optimise cost and latency across model tiers
  • Ship prompt-driven features into production products
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A production prompt system with versioned prompts, an eval suite and a cost/latency report.
Full program syllabus →
Faculty F03 · 7 programs

Faculty of Interactive Computing

P14 · Advanced · 24 ECTS · 20 wks

AI Game Development

AI-assisted workflows in Godot, Unity and Unreal.

$6,900
Learning outcomes
  • Ship a playable AI-driven game across two engines
  • Design NPCs with LLM-driven behaviour
  • Implement procedural content pipelines
  • Publish to Steam, itch.io or console storefronts
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A published AI game with a real player community.
Full program syllabus →
P15 · Advanced · 18 ECTS · 16 wks

AI Virtual Reality Development

Immersive VR experiences engineered with AI.

$6,200
Learning outcomes
  • Ship a polished VR experience on modern headsets
  • Design comfortable AI-driven interaction
  • Optimise performance for standalone VR
  • Publish to Meta Horizon or SideQuest
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A polished VR experience shipped to a real headset store.
Full program syllabus →
P16 · Advanced · 18 ECTS · 16 wks

AI Augmented Reality Development

Consumer and enterprise AR with spatial AI.

$6,200
Learning outcomes
  • Ship AR experiences on iOS and Android
  • Design spatial AI-augmented interactions
  • Build enterprise AR for training and field ops
  • Publish to App Store and Play Store
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A published AR experience with a working spatial AI feature.
Full program syllabus →
P17 · Advanced · 20 ECTS · 18 wks

AI Mixed Reality Development

MR interfaces that blend real and synthetic worlds.

$6,600
Learning outcomes
  • Ship MR apps on Apple Vision Pro and Quest 3
  • Design AI-augmented mixed reality interactions
  • Fuse passthrough, hand tracking and spatial anchors
  • Publish to Vision Pro and Horizon storefronts
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A polished MR app live on Vision Pro or Quest 3.
Full program syllabus →
P18 · Advanced · 18 ECTS · 16 wks

Spatial Computing Engineering

Interfaces that understand space, motion and intent.

$6,200
Learning outcomes
  • Model 3D space with modern spatial engines
  • Build interfaces that respond to motion and gesture
  • Integrate spatial AI for scene understanding
  • Ship spatial software into a real vertical
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A spatial application deployed into a real vertical use-case.
Full program syllabus →
P19 · Advanced · 20 ECTS · 18 wks

Digital Twin Engineering

Live digital replicas of physical systems and cities.

$6,800
Learning outcomes
  • Model physical assets as live 3D digital twins
  • Stream IoT and telemetry into twin representations
  • Layer AI on top for simulation and prediction
  • Ship a twin used for real operational decisions
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A live twin deployed for a real industrial or civic use-case.
Full program syllabus →
P27 · Advanced · 15 ECTS · 14 wks

3D Software Engineering

Real-time 3D applications for web, desktop and devices.

$5,600
Learning outcomes
  • Author interactive 3D scenes with confident math
  • Write and debug shaders for real-time effects
  • Ship performant WebGPU / Three.js experiences
  • Integrate 3D UX into product surfaces
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: An interactive 3D application shipped to the web with a live performance report.
Full program syllabus →
Faculty F04 · 5 programs

Faculty of Product & Innovation

P01 · Foundational · 12 ECTS · 12 wks

AI Product Builder

Ship a live AI product to real users in twelve weeks.

$3,900
Learning outcomes
  • Take a problem from insight to a live production URL
  • Design AI-native user experiences with clear success metrics
  • Ship weekly using Lovable, Cursor and Claude with confidence
  • Instrument analytics, iterate on real users and defend product decisions
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A live AI product with real users, live payments enabled and a public launch page.
Full program syllabus →
P12 · Executive · 25 ECTS · 20 wks

AI Startup Accelerator

From prototype to investor-ready company.

$12,000
Learning outcomes
  • Validate a real problem with real customers
  • Ship an MVP with early revenue or strong traction
  • Build a fundable narrative, deck and data room
  • Pitch investors and close a first cheque
Prerequisites
  • Founder, senior engineer or technical leader with an active mandate
  • Working product, prototype or company brief to develop in cohort
  • Ability to travel to at least one residency window
  • 15–20 hrs / week study time
Capstone: Demo Day pitch to a curated group of investors and partners.
Full program syllabus →
P13 · Foundational · 12 ECTS · 12 wks

AI Product Management

Lead AI-native product teams and roadmaps.

$3,900
Learning outcomes
  • Run modern discovery and prioritisation
  • Set AI-native product strategy and evals
  • Lead cross-functional AI teams with clear cadence
  • Ship, measure and iterate on real products
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A real AI product roadmap, evals framework and launch retro.
Full program syllabus →
P28 · Foundational · 12 ECTS · 12 wks

UX Engineering

The engineering craft of exceptional product interfaces.

$3,900
Learning outcomes
  • Own and evolve a production design system
  • Ship accessible interfaces that pass WCAG 2.2 AA
  • Design motion that clarifies rather than decorates
  • Instrument and improve product polish with metrics
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A refactored production surface with a public accessibility and motion audit.
Full program syllabus →
P29 · Advanced · 20 ECTS · 16 wks

Startup Engineering

Engineer the first 18 months of a venture-backed startup.

$6,400
Learning outcomes
  • Sequence architecture decisions against fundraising milestones
  • Hire, onboard and lead the first engineers
  • Ship weekly under real customer and investor pressure
  • Instrument the metrics investors will actually diligence
Prerequisites
  • Founder, senior engineer or technical leader with an active mandate
  • Working product, prototype or company brief to develop in cohort
  • Ability to travel to at least one residency window
  • 15–20 hrs / week study time
Capstone: A live startup with paying customers, an investor-grade dataroom and a 12-month engineering plan.
Full program syllabus →
Faculty F05 · 8 programs

Faculty of Enterprise Technology

P20 · Advanced · 18 ECTS · 16 wks

AI Cybersecurity

Offensive and defensive AI security for regulated systems.

$6,600
Learning outcomes
  • Threat-model AI-augmented systems end-to-end
  • Run offensive exercises against LLM and agent systems
  • Implement defensive controls at code, infra and org levels
  • Lead a security incident with a clean postmortem
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A full offensive-and-defensive exercise on a target AI system with a signed remediation plan.
Full program syllabus →
P30 · Advanced · 18 ECTS · 16 wks

AI FinTech Engineering

AI-native financial systems with regulatory rigour.

$6,800
Learning outcomes
  • Design ledger and payments systems with double-entry rigour
  • Ship AI-augmented risk, fraud and KYC pipelines
  • Meet PCI DSS, PSD2 and equivalent controls
  • Operate financial systems with reconciliations and audit trails
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A fintech product with a reconciled ledger, KYC pipeline and an external audit-ready dataroom.
Full program syllabus →
P31 · Advanced · 18 ECTS · 16 wks

AI HealthTech Engineering

Clinically-safe AI systems for regulated health workflows.

$6,800
Learning outcomes
  • Design HIPAA-compliant clinical systems
  • Integrate EHRs and health-data standards (FHIR, HL7)
  • Ship AI features with clinical evaluation and audit
  • Operate under real incident and reporting obligations
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A clinical AI feature with an evaluation report, safety case and deployment plan.
Full program syllabus →
P32 · Foundational · 12 ECTS · 12 wks

AI EduTech Engineering

AI-native learning products with pedagogical rigour.

$4,200
Learning outcomes
  • Design AI tutors grounded in learning science
  • Build assessment engines that measure real understanding
  • Ship learning products with retention and outcome metrics
  • Handle student data with privacy-first engineering
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A shipped learning product with an outcome study and a public privacy policy.
Full program syllabus →
P33 · Advanced · 16 ECTS · 14 wks

AI GovTech Engineering

AI-augmented systems for public services and regulators.

$5,600
Learning outcomes
  • Design accessible, multilingual public services
  • Meet public-sector security and procurement standards
  • Ship AI features with explainability and audit
  • Operate services under FOIA/transparency obligations
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A public-service prototype with an accessibility audit and a signed security-in-depth plan.
Full program syllabus →
P34 · Foundational · 12 ECTS · 12 wks

AI PropTech Engineering

AI-native software for real estate, construction and facilities.

$4,200
Learning outcomes
  • Design AI-native marketplaces for real estate
  • Ingest and normalise property, geospatial and IoT data
  • Ship AI features for underwriting, leasing and operations
  • Instrument outcomes for landlords, tenants and portfolios
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A PropTech product live with two customer portfolios and a public case study.
Full program syllabus →
P35 · Foundational · 12 ECTS · 12 wks

AI HospitalityTech Engineering

AI software for hotels, restaurants and guest experience.

$3,900
Learning outcomes
  • Design AI-native booking and guest-experience flows
  • Ship revenue-management features that improve occupancy
  • Deploy multilingual voice and messaging agents
  • Instrument NPS, RevPAR and staff efficiency
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A hospitality product live with at least one venue and a public operations case study.
Full program syllabus →
P36 · Advanced · 16 ECTS · 14 wks

AI LegalTech Engineering

AI systems for lawyers, compliance and regulated documents.

$5,600
Learning outcomes
  • Design cited, evaluated retrieval for legal corpora
  • Ship contract and compliance workflows with human review
  • Build audit trails that satisfy legal and regulator scrutiny
  • Operate legal AI products with clear liability boundaries
Prerequisites
  • One completed foundational program OR 6+ months of practical building
  • Working knowledge of one modern language (TypeScript, Python, Go)
  • Comfort with Git, the terminal and modern package tooling
  • 10–15 hrs / week study time
Capstone: A legal AI product in use by a real firm, with an eval report and audit trail.
Full program syllabus →
Faculty F06 · 2 programs

Faculty of Business & Growth

P37 · Foundational · 10 ECTS · 10 wks

AI Marketing Engineering

Engineer measurable growth with an AI-native marketing stack.

$3,400
Learning outcomes
  • Design multi-touch attribution you can defend
  • Ship content pipelines that scale with quality
  • Run experiments with real statistical rigour
  • Automate lifecycle marketing across channels
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A growth system live for a real product with a public attribution and experiment writeup.
Full program syllabus →
P38 · Foundational · 10 ECTS · 10 wks

AI Sales Engineering

AI-augmented sales systems that compound pipeline and revenue.

$3,400
Learning outcomes
  • Design AI-augmented outbound systems with clear guardrails
  • Instrument pipeline, forecast and win-rate honestly
  • Ship enablement content that reps actually use
  • Automate closing workflows without hurting deal quality
Prerequisites
  • No prior code required — curiosity and commitment to weekly shipping
  • Laptop with a modern browser (Chrome, Arc, Safari, Firefox)
  • Fluent working English
  • 6–10 hrs / week study time
Capstone: A sales system live for a real product with a public pipeline and forecast writeup.
Full program syllabus →

Assessment

How we grade shipped work.

  • Craft — code quality, architecture, testability, documentation.
  • Rigor — evals, telemetry, security, accessibility.
  • Product — clarity of problem, quality of solution, user outcome.
  • Communication — the ability to explain, demo and defend.

Benchmarks & recognition

Globally benchmarked. Employer-recognized.

  • ACM Computing Curricula 2023 alignment across foundations.
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