Training Apache Spark - Mastering Distributed Pipelines

Very demanding course · Expertise required

$6,300

  • 4 days
  • Onsite
  • 10 people max.
Ref: LNE752
10 people max.
$6,300
In-company rate: from $10,710 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that ignore Spark lose competitiveness.

  • Data processing times can double and generate up to 30 percent in additional costs.

  • Data engineers without these skills stagnate in their careers.

  • Acting now prevents these concrete risks and secures data projects.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

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

41,118 programs · 25 countries

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

Every program built with a dedicated engineer

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

Apache Spark training objectives

  • Master Spark architectures for professional pipelines
  • Develop certified skills in distributed processing
  • Design scalable ETL solutions for the enterprise
  • Optimize performance of massive computations in production
  • Implement resilient workflows with Kafka and Airflow
  • Deploy Spark applications in cloud environments

Program

Apache Spark curriculum: 4 modules over 4 days

Module 1 : Theme: Spark Architecture and RDD (design, execution, deliverables)

Participants explore Spark's internal architecture, manipulate RDDs and design distributed transformations. They perform practical exercises on large datasets, analyze execution plans and produce an initial optimized pipeline. Real business cases illustrate technical choices.

Module 2 : Theme: DataFrames and Spark SQL (optimization, queries, deliverables)

The day covers DataFrames and Spark SQL for high-performance processing. Learners write complex queries, apply Catalyst and Tungsten optimizations, and deliver a certifiable ETL module. Focus on professional best practices and reducing computation costs.

Module 3 : Theme: Spark Streaming and Kafka Integration (design, scalability, deliverables)

Experts design real-time streams with Spark Streaming and Kafka. They configure resilient micro-batches, manage checkpoints and deliver a monitoring system. Exercises include failure scenarios and latency measurements under real conditions.

Module 4 : Theme: Airflow and Spark Deployment (orchestration, production, deliverables)

The training concludes with orchestration using Airflow and production deployment. Participants automate DAGs, integrate Spark jobs and produce complete documentation. Feedback sessions and final optimization reinforce operational skills.

How Apache Spark skills are assessed

  • Practical projects assessed each day
  • Final exam on a real business case
  • Technical report and oral presentation

How the Apache Spark course is taught

  • Detailed materials and complete source code
  • Access to a dedicated Spark cluster
  • Progressive exercises with expert feedback
  • Qualiopi certification awarded at the end of the training

Apache Spark training: access and practical arrangements

The Training Apache Spark - Mastering Distributed 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 Apache Spark - Mastering Distributed 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 Apache Spark - Mastering Distributed 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 Apache Spark 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

Apache Spark: frequently asked questions

Which tools are used in Apache Spark training?+
Hands-on work runs on design, execution, deliverables, optimization, queries and scalability. Those tools come from the Apache Spark program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Apache Spark training?+
They can master Spark architectures for professional pipelines, develop certified skills in distributed processing and design scalable ETL solutions for the enterprise. Those are the stated objectives of the Apache Spark program at Expert level, checked by the end-of-session assessment.
What does the Apache Spark program cover, day by day?+
Day 1: Theme: Spark Architecture and RDD (design, execution, deliverables). Day 2: Theme: DataFrames and Spark SQL (optimization, queries, deliverables). Day 3: Theme: Spark Streaming and Kafka Integration (design, scalability, deliverables). Day 4: Theme: Airflow and Spark Deployment (orchestration, production, deliverables). The Apache Spark program runs over 4 days, delivered on site.
How is Apache Spark training assessed?+
Assessment relies on practical projects assessed each day, final exam on a real business case and technical report and oral presentation. Learni issues a completion certificate together with the individual assessment report at the end of the Apache Spark program, which an L&D team can file as evidence.
How much does Apache Spark training cost per participant?+
Apache Spark training costs $6,300 per participant. For an in-company team, the flat rate starts at $10,710 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 Apache Spark training take?+
4 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 Apache Spark 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 Apache Spark training?+
Advanced mastery of Python or Scala, experience with distributed clusters and complex SQL databases.
Is a certificate issued after Apache Spark 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 Apache Spark 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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