Training Feature Store Feast - Mastering ML Features in Production

On quote$2,310

  • 2 days
  • Onsite
  • 10 people max.
Ref: BGM876
10 people max.
On quote$2,310
In-company rate: on quotefrom $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of a Feature Store like Feast, data teams waste 40% of their time on poorly managed features, resulting in ML models degraded by 25% in accuracy.

  • Companies lose an average of 2 millions d'euros per year in production delays caused by obsolete features.

  • In 2026, 68% of ML projects fail due to lack of feature governance, threatening competitiveness and engineers' promotions.

  • Every quarter without these skills widens the gap with MLOps leaders who deploy 3x faster.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,752 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Master the fundamentals of the Feature Store Feast for professional projects
  • Develop skills in centralized ML feature management in the enterprise
  • Implement feature pipelines with Feast in a certifiable manner
  • Configure online and offline stores to serve features in real time
  • Optimize collaboration between data teams using Feast in production
  • Design reproducible workflows to accelerate ML deployments

Program

Module 1Feature Store Fundamentals: Install and Configure Feast (Python Environment, Docker, CLI)

Quick installation of Feast locally via pip and Docker, creation of your first professional Feature Store project, definition of simple features from real datasets, exploration of the Feast registry to version and discover features, practical exercises on batch feature extraction for an e-commerce business case, validation of configurations with integrated unit tests, obtain a deliverable: Feast repository ready for the data team.

Module 2Implementing Feature Store: Pipelines and Serving with Feast (Online Stores, Kafka, Real-Time ML Exercises)

Building end-to-end pipelines to ingest features in real time via Kafka and Redis, connection to various data sources like BigQuery or S3, implementation of Feast serving for ML models in production, concrete case on customer prediction with fresh features, performance optimization to scale in the enterprise, collaborative pair exercises on an ongoing project, production of a feature monitoring dashboard and cloud deployment plan.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises
  • Presentation and defense of the ongoing project to the trainer

Learning method

  • Courses led by an active expert trainer
  • Practical exercises on real business cases
  • Ongoing project progressively developed throughout the training
  • Complete course materials provided to each participant

Methods, materials and delivery

The Training Feature Store Feast - 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.

Equipment required

For the smooth delivery of the Training Feature Store Feast - Mastering ML Features in Production program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

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.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Feature Store Feast - Mastering ML Features in Production program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

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.

Enrollment terms and lead times

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.

The Learni story

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.

Our method

Training quality, guaranteed at every step

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.

Step 1

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.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Frequently asked questions

Which tools are used in Feature Store Feast training?+
Hands-on work runs on python Environment, docker, CLI, online Stores, kafka and real-Time ML Exercises. Those tools come from the Feature Store Feast program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after Feature Store Feast training?+
They can master the fundamentals of the Feature Store Feast for professional projects, develop skills in centralized ML feature management in the enterprise and implement feature pipelines with Feast in a certifiable manner. Those are the stated objectives of the Feature Store Feast program at Beginner level, checked by the end-of-session assessment.
What does the Feature Store Feast program cover, day by day?+
Day 1: Feature Store Fundamentals: Install and Configure Feast (Python Environment, Docker, CLI). Day 2: Implementing Feature Store: Pipelines and Serving with Feast (Online Stores, Kafka, Real-Time ML Exercises). The Feature Store Feast program runs over 2 days, delivered on site.
How is Feature Store Feast training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises and presentation and defense of the ongoing project to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Feature Store Feast program, which an L&D team can file as evidence.
How much does Feature Store Feast training cost per participant?+
Feature Store Feast training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.Feature Store Feast training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Feature Store Feast training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Feature Store Feast training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Feature Store Feast training?+
Basics in Python, SQL, and machine learning concepts.
Is a certificate issued after Feature Store Feast training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
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