AIXL Academy
Customisation Model

Customisation Model

Every AIXL program is a starting architecture, not a locked template.

01

Stack Customisation

Labs and curriculum adapt to your actual tech stack. Azure OpenAI vs Anthropic vs AWS Bedrock, dbt vs Airflow, VS Code vs JetBrains — we configure the environment your team actually works in.

Cloud provider alignment (Azure, AWS, GCP)
LLM/API provider configuration
Language and framework tuning
Internal API integration in labs
02

Audience Tuning

Senior engineers and junior analysts have fundamentally different starting points. Programs are calibrated to cohort composition — not averaged to the middle.

Entry-point calibration per cohort
Mixed-seniority split-track delivery
Role-specific use cases and labs
Separate executive track design
03

Industry Overlay

We bring domain-specific context to every program. FinServ case studies for banking teams, healthcare compliance scenarios for hospital IT — real context, not generic examples.

FinServ / InsureTech overlay
Healthcare and Pharma context
Government / Public Sector delivery
Retail and GTM industry labs
04

Duration Flexibility

Programs are available in express (20-hour), standard (36-hour), and extended (60-hour) variants. We right-size based on your team's learning capacity and urgency.

20-hour express track
36-hour standard track
60-hour extended track
Multi-week part-time or week-long intensive

Discuss Customisation Requirements