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Advanced Databricks Training - Deploy Scalable Data ML Pipelines

Ref: RME740
10 people max.
From $2,310 HT / per person
On-site on request · +$540 with certification exam
2 days
Remote

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

  • Optimize Databricks clusters for high performance
  • Implement Delta Lake for ACID data reliability
  • Orchestrate pipelines with Databricks Workflows
  • Deploy ML models via integrated MLflow
  • Manage data governance with Unity Catalog
  • Analyze costs and advanced monitoring
  • Integrate Databricks with Azure/AWS/GCP
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 advanced Databricks mastery, your data pipelines slow down by 300% in production, generating 50k€/month in unnecessary cloud overcosts.

  • Ignoring Delta Lake = corrupted data, 20% ML accuracy loss, and failed GDPR audits.

  • Manual workflows = exhausted teams, 3x delays on critical projects.

  • No Unity Catalog = security leaks, CNIL fines up to 4% revenue.

  • 70% data engineers stuck without cluster optimization, missing promotions.

  • Risk obsolescence: 85% data jobs require certified Databricks.

  • Invest 14h, save millions, lead data engineering.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Optimization and Delta Lake: Boost Spark SQL Performance, Delta Live Tables (notebooks, cluster exercises)

Dive into cluster optimization via Auto Scaling and Photon Engine, configure Delta tables for ultra-fast ACID transactions, practice Z-Order and Liquid Clustering on real datasets, migrate legacy data to Delta with hands-on exercises, test Delta Live Tables for automated pipelines, leave with production-ready notebooks and tuning tips that divide time by 5.

Module 2ML Pipelines and Governance: MLflow, Workflows, Unity Catalog (production cases, scalable deliverables)

Deploy end-to-end MLflow for model tracking and serving, orchestrate complex jobs via Databricks Workflows with alerts, implement Unity Catalog for secure cataloging and data lineage, integrate cloud storage with multi-cloud exercises, analyze costs via Ganglia and Billing, build a complete pipeline on a real e-commerce case, obtain certificates and reusable templates for instant scaling.

Evaluation method

  • Daily graded practical exercises
  • Final ML pipeline project
  • Databricks technical quiz

Learning method

  • Hands-on 80% of time on dedicated cluster
  • Real cases from Fortune 500 companies
  • Individual coach support

Methods, materials and delivery

The Advanced Databricks Training - Deploy Scalable Data 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 Advanced Databricks Training - Deploy Scalable Data 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 Advanced Databricks Training - Deploy Scalable Data 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 Advanced Databricks Training - Deploy Scalable Data ML Pipelines training cost?+
The individual price is $2,310 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Advanced Databricks Training - Deploy Scalable Data ML Pipelines training?+
The training lasts 2 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?+
Spark experience, Python/Scala, basic Databricks, advanced SQL.
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

Available on-site and remotely. Pick your city to see the local training center.

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