Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
25,750 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Discover the modular architecture of Feast 2026, install the environment via Docker and CLI, configure providers (GCP, AWS), create your first feature views with Pandas transformations, test registration in local registry, perform practical exercises on real datasets to validate historical feature retrieval, produce a first offline pipeline ready for production.
Build advanced ETL pipelines with Spark to extract and transform features at scale, integrate Feast with Airflow for orchestration, manage offline materializations in BigQuery or S3, develop online stores with Redis for low-latency serving, apply automated schema validations, simulate real workloads in groups, generate lineage reports for enterprise traceability.
Dive into distributed Feast registries for multi-team collaboration, implement online serving via Kafka streams for real-time, deploy on Kubernetes with Helm charts, optimize Point-In-Time joins for accurate history, integrate Prometheus/Grafana monitoring, resolve advanced error cases like drift detection, produce an end-to-end prototype with A/B testing features.
Secure your Feature Store with RBAC and encryption at-rest/transit, scale horizontally for millions of requests/sec, integrate CI/CD GitOps with Feast SDK, monitor with OpenTelemetry tracing, migrate legacy pipelines to Feast 2026, analyze ROI via custom metrics, finalize with a capstone project delivered with documentation and simulated prod demo.
The Training Feature Store (Feast) 2026 - Mastering ML Features in Production program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
For the smooth delivery of the Training Feature Store (Feast) 2026 - Mastering ML Features in Production program, the following equipment is required:
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
Assessment of skills acquired during the Training Feature Store (Feast) 2026 - Mastering ML Features in Production program is performed through:
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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