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Training Feature Store (Feast) 2026 - Mastering Advanced ML Pipelines

Ref: NMD290
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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Equans
EDF
Ubisoft
Microsoft
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ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Master the expert architecture of Feature Store (Feast) 2026 for scalable deployments
  • Develop advanced feature engineering skills in this certified professional training
  • Design optimized registries and stores for enterprise ML contexts
  • Implement Feast 2026 pipelines with real-time monitoring
  • Optimize feature performance to reduce production latency times
  • Deploy secure Feast solutions compliant with professional standards
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

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

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.

Don't let this gap widen

Why this program matters

  • Without expert mastery of Feature Store (Feast) 2026, 75% of ML projects fail in production according to Gartner, resulting in annual losses of 12 million euros per company in wasted time and resources.

  • Data teams lose competitiveness against agile competitors, risking strategic delays and obsolescence of individual MLOps skills.

  • Expert engineers stagnate in their careers, missing promotions and salaries 30% higher.

  • Invest now to secure your ML pipelines and propel your professional expertise.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Feature Store (Feast) Architecture: Expert Modeling and Advanced Registries (Feast 2026, Python SDK)

Discover the expert foundations of Feature Store (Feast) 2026 through practical workshops on installation in Kubernetes clusters, configure offline and online registries with concrete enterprise examples, model complex vector features, generate deliverables like scalable data schemas, test integrations with Spark and Kafka to validate robustness in real production conditions.

Module 2Feature Store (Feast) Pipelines: Advanced Engineering and Transformations (Feast Core Tools, Dask)

Dive into expert feature engineering with Feast 2026, transform massive datasets via custom UDFs, integrate CI/CD pipelines with Airflow, simulate live drift detection scenarios, produce automated performance reports, apply real-world use cases like e-commerce personalization, consolidate your professional skills through collaborative remote exercises.

Module 3Feature Store (Feast) Deployment: Scalability and Monitoring (Helm Charts, Prometheus)

Master expert deployment of Feature Store (Feast) 2026 in AWS or GCP cloud environments, configure autoscalers to handle millions of features, implement advanced monitoring with Grafana and custom alerts, resolve real-time bottlenecks, generate interactive dashboards as final deliverables, optimize for high availability through practical exercises on simulated clusters.

Module 4Feature Store (Feast) Optimization: Security and Governance (RBAC, Audit Trails)

Perfect your skills in Feature Store (Feast) 2026 governance, secure access via RBAC and at-rest encryption, audit feature lineages with MLflow, optimize production storage costs, deploy advanced A/B tests on features, produce an expert migration plan as certifying deliverable, integrate feedback from leading companies to anchor these durable professional skills.

Evaluation method

  • Advanced technical quiz on Feast 2026 and architectures
  • Practical project of a complete pipeline under real conditions
  • Enterprise case study with expert oral presentation

Learning method

  • Hands-on practical exercises in interactive remote format
  • Real cases from Fortune 500 companies
  • Real-time personalized feedback from experts
  • Scalable production simulations

Methods, materials and delivery

The Training Feature Store (Feast) 2026 - Mastering Advanced 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.

Equipment required

For the smooth delivery of the Training Feature Store (Feast) 2026 - Mastering Advanced ML Pipelines 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) 2026 - Mastering Advanced ML Pipelines 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.

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.

FAQ

Frequently asked questions

How much does the Training Feature Store (Feast) 2026 - Mastering Advanced ML Pipelines training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Feature Store (Feast) 2026 - Mastering Advanced ML Pipelines training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced proficiency in Python, experience with ML pipelines, intermediate knowledge of Feast, production data management
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

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