Databricks Expert Training - Optimize Your Big Data Pipelines

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: FZH553
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without expert mastery of Databricks, your Spark pipelines slow down by 40% in production, generating 200k€ in annual engineer time losses.

  • Non-optimized Delta tables explode your S3 costs by 60%, exposing you to data leaks via faulty governance – 70% of 2023 data engineering breaches linked to this.

  • ML scaling fails without MLflow, capping AI ROI at <20%.

  • Competitors with Unity Catalog handle 10x more volume without crashes.

  • Are you risking obsolescence against agile teams that deploy in hours what takes you weeks?

  • Invest now to avoid these costly pitfalls.

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

40,841 programs · 25 countries

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

Every program built with a dedicated engineer

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

Databricks Expert training objectives

  • Configure high-performance Databricks clusters to scale workloads
  • Implement Unity Catalog for advanced data governance
  • Optimize Delta Lake with ACID transactions and Z-ordering
  • Deploy ML models via MLflow to production
  • Master job workflows and Delta Live Tables for automation
  • Analyze performance with Ganglia and tune resources
  • Integrate Databricks into hybrid ecosystems for real-world cases

Databricks Expert curriculum: 5 modules over 5 days

Module 1 : Databricks Architecture: Advanced Clusters and Scaling (Spark, Photon, Monitoring Tools)

Dive into configuring auto-scaling clusters with Photon to accelerate SQL queries by 10x, test practical exercises on massive workloads, analyze real-time Ganglia metrics, create your first optimized notebooks, and produce a deliverable: a high-availability cluster deployed and benchmarked to boost your pipelines from day one.

Module 2 : Unity Catalog: Data Governance and Security (Catalogs, Tags, ACL)

Master Unity Catalog to centralize multi-tenant governance, configure fine-grained ACLs and automated tags, simulate GDPR compliance scenarios via interactive workshops, migrate existing metadata, generate audit reports, and leave with a secure catalog ready to integrate your critical data flows.

Module 3 : Delta Lake Expert: Optimization and Advanced Features (Z-ordering, Vacuum, Time Travel)

Optimize your Delta tables with Z-ordering and liquid clustering for 100x faster queries, practice time travel on real datasets, clean up with OPTIMIZE and VACUUM, test scalable merges, build an end-to-end pipeline, and validate a deliverable: a high-performance Delta table reducing your storage costs by 50%.

Module 4 : MLflow and MLOps: Scaling ML on Databricks (Tracking, Serving, Feature Store)

Deploy end-to-end models with MLflow, track experiments and metrics, serve via Model Serving, integrate Feature Store for reuse, experiment on large datasets, automate staging-to-production promotions, and produce a production-ready deployed model to scale your ML ops without downtime.

Module 5 : Advanced Workflows and Global Optimization (Delta Live Tables, Jobs, Use Cases)

Automate with Delta Live Tables and Jobs Scheduler for resilient pipelines, tune performance on real cases like real-time ETL, integrate monitoring and alerting, resolve bottlenecks via challenging exercises, finalize a complete capstone project, and gain autonomy to transform your data ops into a well-oiled machine.

How Databricks Expert skills are assessed

  • Daily technical quizzes, hands-on projects per day, final exam on real business case, personalized feedback.

How the Databricks Expert course is taught

  • 100% hands-on with live Databricks notebooks, collaborative workshops, real business cases, unlimited access to recordings.

Databricks Expert training: access and practical arrangements

The Databricks Expert Training - Optimize Your Big Data 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 Databricks Expert Training - Optimize Your Big Data 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 Databricks Expert Training - Optimize Your Big Data 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.

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

How Learni guarantees the quality of your Databricks Expert training

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

Databricks Expert: frequently asked questions

Which tools are used in Databricks Expert Training training?+
Hands-on work runs on spark, photon, monitoring Tools, catalogs, tags and ACL. Those tools come from the Databricks Expert Training program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Databricks Expert Training training?+
They can configure high-performance Databricks clusters to scale workloads, implement Unity Catalog for advanced data governance and optimize Delta Lake with ACID transactions and Z-ordering. Those are the stated objectives of the Databricks Expert Training program at Expert level, checked by the end-of-session assessment.
What does the Databricks Expert Training program cover, day by day?+
Day 1: Databricks Architecture: Advanced Clusters and Scaling (Spark, Photon, Monitoring Tools). Day 2: Unity Catalog: Data Governance and Security (Catalogs, Tags, ACL). Day 3: Delta Lake Expert: Optimization and Advanced Features (Z-ordering, Vacuum, Time Travel). Day 4: MLflow and MLOps: Scaling ML on Databricks (Tracking, Serving, Feature Store). Day 5: Advanced Workflows and Global Optimization (Delta Live Tables, Jobs, Use Cases). The Databricks Expert Training program runs over 5 days, delivered on site.
How is Databricks Expert Training training assessed?+
Assessment relies on daily technical quizzes, hands-on projects per day, final exam on real business case, personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Databricks Expert Training program, which an L&D team can file as evidence.
How much does Databricks Expert Training training cost per participant?+
Databricks Expert Training training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 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 Databricks Expert Training training take?+
5 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 Databricks Expert Training 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 Databricks Expert Training training?+
Advanced proficiency in Spark, Python or Scala, complex SQL, experience in data pipelines and cloud (AWS, Azure or GCP).
Is a certificate issued after Databricks Expert Training 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.
Does Learni provide the equipment for Databricks Expert Training training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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