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 advanced foundations of Feast to deploy a robust feature store, install Feast via Docker and Helm on Kubernetes, configure providers like Redis and BigQuery for online/offline storage, perform practical exercises on creating registries, test connections to real data warehouses, produce a deliverable architectural schema with diagrams and production-ready scripts.
Dive into defining complex feature views with Feast, implement ETL transformations via PySpark integrated into the store, materialize batch and streaming features on GCS or S3, perform exercises on optimizing materialization jobs, analyze performance with integrated monitoring, generate validation reports and a functional ETL pipeline deployed in a simulated cluster.
Master online feature serving with Feast on Redis and Kafka, configure real-time retrievals for ML inferences, develop client scripts for asynchronous querying, test latency under load with tools like Locust, integrate with TensorFlow Serving models, produce a Prometheus monitoring dashboard and a scalable serving system ready to use.
Integrate Feast with MLflow and Kubeflow for complete MLOps workflows, manage versioning of features and models, implement security with RBAC and data encryption, carry out practical end-to-end pipeline cases on AWS EKS, debug common production errors, deliver an integrated project with API documentation and automated tests.
Optimize Feast feature stores for enterprise scale via advanced partitioning and caching, analyze real cases from Netflix and Uber, resolve real troubleshooting scenarios, deploy a complete PoC on hybrid cloud, evaluate ROI with business metrics, finalize with a certifying deliverable: optimized architecture, source code, and rollout plan.
The Training Feature Store (Feast) - Mastering Scalable ML Pipelines 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) - Mastering Scalable ML Pipelines 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) - Mastering Scalable ML Pipelines 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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