Your learning path, as a directed graph.
Hover any module to illuminate its dependencies. Each node unlocks the next.
AutoML Foundations
Data preprocessing, feature pipelines
PyCaret Rapid Prototyping
Low-code model comparison & selection
FLAML Lightweight AutoML
Resource-efficient model search
Auto-sklearn General Purpose
Bayesian optimization & meta-learning
H2O Large-Scale AutoML
Enterprise-grade model ensembling
AutoKeras Neural Architecture
NAS for deep learning tasks
Vertex AI Production Deploy
Cloud pipelines, monitoring, BigQuery
Three tiers. One clear trajectory.
Each certification unlocks on scroll — just like each tier unlocks in the curriculum.
AutoML Practitioner
Prove you can build — not just click.
curriculum
Tools
You'll master
- ▸Automated feature engineering
- ▸Model selection & comparison
- ▸Bayesian hyperparameter search
- ▸Baseline deployment on cloud
AutoML Engineer
Build pipelines that survive production.
curriculum
Tools
You'll master
- ▸Neural architecture search (NAS)
- ▸Large-scale model ensembling
- ▸Pipeline monitoring & drift detection
- ▸AWS S3 / GCP / Azure deployment
AutoML Architect
The credential your CTO recognizes.
curriculum
Tools
You'll master
- ▸End-to-end Vertex AI pipelines
- ▸BigQuery ML integration
- ▸MLOps & model governance
- ▸Team AI capability roadmap
H2O.ai recognized as a Visionary in the 2025 Gartner Magic Quadrant for Cloud AI Developer Services
Where you sit now. Where you land after.
US salary benchmarks for ML roles in 2025. The bars draw themselves as you scroll — so does your earning potential.
Tier I unlocks in 40h
Fintech & healthcare top $220K+
Cloud deployment = top-band roles
Six tools. One unified credential.
Not a survey course — a structured progression from prototyping to production.
FLAML
Lightweight AutoML62% of cases match enterprise performance at 10% of compute cost.
AutoKeras
Neural Architecture SearchAutomatic neural network design for image, text, and tabular data.
H2O.ai
Enterprise AutoMLGartner Magic Quadrant Visionary 2025. Large-scale ensembling.
Vertex AI
Cloud ProductionBigQuery integration, managed pipelines, monitoring at scale.
PyCaret
Rapid PrototypingLow-code comparison across 18+ algorithms in under 5 lines.
Auto-sklearn
General PurposeBayesian optimization + meta-learning from Freiburg University.
Engineers who made the switch.
Real transitions. Real salaries. Real credentials.
I went from waiting two weeks for the data science team to shipping my own model to production. The Vertex AI module alone justified the enrollment.
Pipeline gave me the vocabulary and the credential. My CTO stopped asking 'but is it production-ready?' after I showed him the Architect cert.
I already used H2O at work. The curriculum made me understand *why* I was doing what I was doing. The FLAML module was a revelation — I'd been over-computing for years.
Know exactly where you stand before you commit.
Three questions. Sixty seconds. A personalized competency map and the exact tier you should start from.
Free Curriculum PDF
The full 120-hour curriculum map — module breakdowns, tool coverage, and salary benchmarks — in one shareable doc.