Training Kafka Spark - Designing High-Performance ETL Pipelines

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: NVQ893
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

  • Companies that fail to master Kafka and Spark lose 30% performance on average in their data processing.

  • ETL project delivery delays often reach 6 months and generate major cost overruns.

  • Professionals without these skills see their career advancement slow against rising market demand.

  • Acting now prevents these losses and secures professional positioning.

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

41,258 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Kafka Spark training objectives

  • Master the fundamentals of Kafka and Spark in a professional training
  • Develop solid skills in designing ETL pipelines
  • Design data flow architectures for the enterprise
  • Implement Spark processing on real-time data
  • Optimize Kafka workflows for concrete business cases
  • Prepare for a recognized certification in data engineering

Program

Kafka Spark curriculum: 5 modules over 5 days

Module 1 : Theme: Introduction to Kafka & Spark for ETL (concepts, architecture, first jobs)

Participants discover the fundamental principles of Kafka and Spark through a structured training. They install the environments, explore Kafka brokers and Spark RDDs, then complete practical exercises in publishing and consuming messages. Concrete business cases illustrate ETL use cases and deliver a first simple architecture to deploy.

Module 2 : Theme: Kafka & Spark - Connectors and data ingestion (Kafka Connect, Spark SQL)

This day covers configuring Kafka Connect to extract data from relational databases and files. Learners use Spark SQL to transform streams and build complete pipelines. Exercises on real datasets strengthen skills and result in a deliverable operational ingestion pipeline.

Module 3 : Theme: Spark Streaming processing with Kafka (Structured Streaming, windowing)

Professionals learn to couple Kafka and Spark Streaming to process data in real time. They configure Structured Streaming jobs, apply windowed aggregations and manage state. Business scenarios enable building a complete real-time pipeline with tested and documented deliverables.

Module 4 : Theme: Kafka & Spark - Reliability and monitoring (offsets, checkpoints, metrics)

Participants secure their pipelines by mastering Kafka offset management and Spark checkpoints. They implement monitoring with standard tools and perform error recovery exercises. Each exercise results in a robust pipeline ready for production in a professional context.

Module 5 : Theme: Final Kafka & Spark project (complete pipeline, optimization, presentation)

The final day is dedicated to an integrative project. Learners design and optimize a complete ETL pipeline combining Kafka and Spark. They present their solution to the group and receive detailed feedback. The final deliverable includes code, documentation and recommendations for the enterprise.

How Kafka Spark skills are assessed

  • Daily knowledge validation quizzes
  • Graded practical exercises on ETL pipelines
  • Final group-presented and evaluated project

How the Kafka Spark course is taught

  • Short and targeted theoretical inputs
  • Live demonstrations on real environments
  • Practical exercises supervised in pairs
  • Final project with personalized support

Kafka Spark training: access and practical arrangements

The Training Kafka Spark - Designing High-Performance ETL 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 Kafka Spark - Designing High-Performance ETL 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 Kafka Spark - Designing High-Performance ETL 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 Kafka 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

Kafka Spark: frequently asked questions

Which tools are used in Kafka Spark training?+
Hands-on work runs on concepts, architecture, first jobs, kafka Connect, spark SQL and structured Streaming. Those tools come from the Kafka Spark program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Kafka Spark training?+
They can master the fundamentals of Kafka and Spark in a professional training, develop solid skills in designing ETL pipelines and design data flow architectures for the enterprise. Those are the stated objectives of the Kafka Spark program at Beginner level, checked by the end-of-session assessment.
What does the Kafka Spark program cover, day by day?+
Day 1: Theme: Introduction to Kafka & Spark for ETL (concepts, architecture, first jobs). Day 2: Theme: Kafka & Spark - Connectors and data ingestion (Kafka Connect, Spark SQL). Day 3: Theme: Spark Streaming processing with Kafka (Structured Streaming, windowing). Day 4: Theme: Kafka & Spark - Reliability and monitoring (offsets, checkpoints, metrics). Day 5: Theme: Final Kafka & Spark project (complete pipeline, optimization, presentation). The Kafka Spark program runs over 5 days, delivered on site.
How is Kafka Spark training assessed?+
Assessment relies on daily knowledge validation quizzes, graded practical exercises on ETL pipelines and final group-presented and evaluated project. Learni issues a completion certificate together with the individual assessment report at the end of the Kafka Spark program, which an L&D team can file as evidence.
How much does Kafka Spark training cost per participant?+
Kafka Spark 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 Kafka Spark 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 Kafka 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 Kafka Spark training?+
Know the basics of Linux, elementary SQL and programming in Python or Java.
Is a certificate issued after Kafka 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 Kafka 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.
Your professional training, anywhere

Let's build your Kafka Spark learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

Kafka Spark training in your city

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

Share in 2 clicks