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Training Snowflake 2026 - Deploying Scalable MLOps in the Enterprise

Ref: UZO121
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master advanced Snowflake 2026 features for certifiable professional skills in data cloud
  • Develop scalable MLOps pipelines integrating TensorFlow and PyTorch in the enterprise
  • Design hybrid data architectures optimized for ML production
  • Implement automated feature engineering workflows on Snowflake
  • Optimize ML model performance with native MLOps tools
  • Deploy and monitor continuous ML solutions for enterprise benefits
  • Acquire certifying skills tailored to professional needs

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Snowflake 2026 Architecture: Multi-Cloud Configuration and Data Governance (TensorFlow, PyTorch)

Discover the major evolutions of Snowflake 2026 for scalable architectures, configure multi-cloud virtual warehouses adapted to professional ML pipelines, integrate TensorFlow for real-time data preprocessing, explore fine-grained governance with dynamic roles and automated audits, perform practical exercises on large datasets, produce a governance schema deliverable ready for the enterprise, consolidate skills through concrete cost optimization cases.

Module 2Snowflake 2026 MLOps Pipelines: Feature Stores and Orchestration (PyTorch Integration)

Build end-to-end pipelines with Snowflake 2026, implement dynamic feature stores to accelerate ML models, orchestrate via Snowpark and scheduled tasks integrating PyTorch, test native CI/CD workflows for rapid deployments, analyze live performance metrics, develop a complete pipeline on a real enterprise case, generate automated monitoring reports, strengthen professional MLOps skills through intensive hands-on practice.

Module 3ML Optimization on Snowflake 2026: Model Tuning and Scaling (TensorFlow, MLOps)

Optimize TensorFlow models on Snowflake 2026 via GPU acceleration and auto-scaling, tune hyperparameters with streams and advanced UDFs, integrate MLOps for model versioning and automated A/B testing, simulate production loads on elastic clusters, measure ROI via cost-optimized queries, produce an optimized model deliverable with monitoring dashboard, apply to critical enterprise scenarios, perfect advanced data engineering skills.

Module 4Production Deployment on Snowflake 2026: MLOps Monitoring and Security (PyTorch, TensorFlow)

Deploy secure production MLOps solutions on Snowflake 2026, configure drift detection alerts for PyTorch and TensorFlow, enhance security with dynamic encryption and zero-trust, automate rollbacks and scaling via API, test resilience on simulated attacks, finalize a capstone project with live deployment, obtain skills certification via evaluation, apply directly in the enterprise for immediate data transformation.

Evaluation method

  • Continuous evaluation through practical exercises and technical quizzes
  • Final project: complete MLOps pipeline on Snowflake 2026
  • Qualiopi certifying attestation with portfolio of deliverables

Learning method

  • Real projects inspired by enterprise cases for immediate application
  • Live demonstrations on Snowflake 2026 with TensorFlow/PyTorch tools
  • Hands-on exercises in small groups for in-depth mastery
  • Quantified MLOps case studies for concrete professional ROI

Methods, materials and delivery

The Training Snowflake 2026 - Deploying Scalable MLOps in the Enterprise program is delivered onsite or remote (blended-learning, e-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 Snowflake 2026 - Deploying Scalable MLOps in the Enterprise 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 Snowflake 2026 - Deploying Scalable MLOps in the Enterprise 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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