Training AWS EMR - Processing Big Data with Spark and Hadoop

$3,465

  • 3 days
  • Onsite
  • 10 people max.
Ref: VFL511
10 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without AWS EMR mastery, Big Data teams waste 60% of their time on slow processing, with cloud costs surging 45% on average according to Gartner 2025.

  • Unoptimized cluster outages generate 2 to 5 incidents per week, costing 10k€ per downtime in enterprise settings.

  • In 2026, 78% of data engineers without advanced EMR skills are passed over for promotions, while competitors process petabytes in hours instead of days.

  • Every quarter without training widens a fatal competitive gap, risking market share losses of up to 25%.

  • Act to secure performance and career.

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

40,840 programs · 25 countries

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  • Microsoft

Every program built with a dedicated engineer

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

AWS EMR training objectives

  • Master AWS EMR to deploy professional Big Data clusters with Spark and Hadoop
  • Optimize massive data processing in enterprise settings via certified configurations
  • Develop advanced Spark pipelines on EMR for scalable competencies
  • Implement Hadoop managed services on AWS EMR with high availability
  • Design resilient and secure Big Data architectures in production
  • Deploy and monitor EMR jobs for optimal performance
  • Acquire certifying AWS Big Data skills to boost your career

AWS EMR curriculum: 3 modules over 3 days

Module 1 : AWS EMR: Advanced Cluster Configuration for Spark and Hadoop (auto-scaling, IAM security)

Dive into creating expert EMR clusters via the AWS console and CLI, configure optimized instances for Spark and Hadoop with dynamic auto-scaling, integrate IAM roles and secure VPCs for enterprise environments, perform hands-on exercises on terabyte datasets to test resilience, produce a functional pilot cluster with CloudWatch monitoring by the end of the day, leverage your Big Data managed service skills for critical projects.

Module 2 : Spark on AWS EMR: Distributed Processing and Optimization (DataFrames, MLlib, tuning)

Master Spark SQL and Streaming on EMR with high-performance distributed jobs, optimize DataFrames to reduce execution times by 50% using intelligent partitioning and caching, integrate S3 as a data source with EMRFS, develop MLlib pipelines on real enterprise datasets, conduct comparative benchmarks of Spark vs. Hadoop MapReduce, generate performance reports and a production-ready Spark pipeline, transform your skills into concrete assets for Big Data analysis.

Module 3 : Managed Hadoop and EMR Orchestration: Airflow Workflows, Costs, and Deployments (YARN, Hive)

Orchestrate Hadoop YARN and Hive workflows on EMR with integrated Apache Airflow, configure EMR Steps for automated batch jobs, analyze and reduce costs using EMR Cost Analyzer with savings up to 40%, secure data with KMS and EMR Encryption, deploy a complete red thread project on a production-grade cluster, monitor in real-time with Ganglia and CloudWatch, leave with a certifying portfolio and expert AWS Big Data skills to excel in enterprise settings.

How AWS EMR skills are assessed

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises
  • Presentation and defense of the red thread project to the trainer

How the AWS EMR course is taught

  • Sessions led by an active expert trainer
  • Practical exercises based on real enterprise cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

AWS EMR training: access and practical arrangements

The Training AWS EMR - Processing Big Data with Spark and Hadoop 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 AWS EMR - Processing Big Data with Spark and Hadoop 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 AWS EMR - Processing Big Data with Spark and Hadoop 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 AWS EMR 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

AWS EMR: frequently asked questions

Which tools are used in AWS EMR training?+
Hands-on work runs on auto-scaling, IAM security, dataFrames, MLlib, tuning and YARN. Those tools come from the AWS EMR program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after AWS EMR training?+
They can master AWS EMR to deploy professional Big Data clusters with Spark and Hadoop, optimize massive data processing in enterprise settings via certified configurations and develop advanced Spark pipelines on EMR for scalable competencies. Those are the stated objectives of the AWS EMR program at Expert level, checked by the end-of-session assessment.
What does the AWS EMR program cover, day by day?+
Day 1: AWS EMR: Advanced Cluster Configuration for Spark and Hadoop (auto-scaling, IAM security). Day 2: Spark on AWS EMR: Distributed Processing and Optimization (DataFrames, MLlib, tuning). Day 3: Managed Hadoop and EMR Orchestration: Airflow Workflows, Costs, and Deployments (YARN, Hive). The AWS EMR program runs over 3 days, delivered on site.
How is AWS EMR training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises and presentation and defense of the red thread project to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the AWS EMR program, which an L&D team can file as evidence.
How much does AWS EMR training cost per participant?+
AWS EMR training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 AWS EMR training take?+
3 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 AWS EMR 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 AWS EMR training?+
Advanced experience in AWS (EC2, S3), Spark and Hadoop, knowledge of SQL and Python/Scala.
Is a certificate issued after AWS EMR 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 AWS EMR 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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