Training AWS Data Pipeline: Mastering Automation and Data Orchestration

Specialist course · Minimum level required

$4,725

  • 3 days
  • Onsite
  • 8 people max.
Ref: JWG903
8 people max.
$4,725
In-company rate: from $8,558 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty levelAWS, Azure or OVH infrastructure: from $158 / day extra
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering automation and data orchestration on AWS, your data pipelines remain manual, time-consuming, and prone to critical errors.

  • On average, a company loses 120 000 € per year in wasted engineer time and processing delays, with 40 % of data engineers spending more than 20 hours per week on repetitive tasks.

  • 65 % of serious data incidents – leaks, downtime, or GDPR non-compliance – stem from faulty orchestration, exposing the company to fines up to 4 % of revenue and threatening competitiveness.

  • Every month without advanced skills, you jeopardize millions in lost opportunities.

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

41,110 programs · 25 countries

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

Every program built with a dedicated engineer

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  • Palo Alto Networks
  • Aruba
  • VMware
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  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

AWS Data Pipeline training objectives

  • Understand the role and positioning of AWS Data Pipeline in data flow automation solutions
  • Create, configure, and execute complex data processing pipelines
  • Acquire skills to orchestrate transfers between different AWS services (S3, RDS, DynamoDB, EMR, Redshift, etc.)
  • Optimize the reliability, security, and performance of pipelines in real-world scenarios
  • Set up monitoring, logging, and error management for pipelines
  • Integrate Data Pipeline with external tools or custom workflows

Program

AWS Data Pipeline curriculum: 3 modules over 3 days

Module 1 : AWS Data Pipeline Fundamentals and First Pipelines

Presentation of AWS cloud architectures. Introduction to AWS Data Pipeline: concepts, use cases, alternatives (Glue, Step Functions). Hands-on with the console and understanding the object model (DataNodes, Activities, PipelineDefinition). Creating simple pipelines: S3 to S3 file transfer, execution of Shell scripts. Security principles and IAM roles management.

Module 2 : Advanced Scenarios and End-to-End Automation

Orchestration of complex processes: integration with S3, RDS, DynamoDB, EMR, Redshift and EC2. Handling Activity types (ShellCommand, HiveActivity, EmrActivity…). Dependencies, schedules and advanced scheduling management (recurrences, event triggers). Optimization of partitioning and resource management. Data encryption and security best practices. Automated error detection and handling (Retry, Failure Handling, SNS Notifications).

Module 3 : Monitoring, Optimization and Custom Integrations

Pipeline monitoring via CloudWatch, logs, alerts and dashboards. Workflow cost and performance optimization. Pipeline deployment automation (CloudFormation, Terraform, CDK). Integration of Data Pipeline with external tools (Lambda, API Gateway, enterprise systems). Setting up pipeline tests and data validation. Best practices for operations, case studies, experience feedback and project workshops.

How AWS Data Pipeline skills are assessed

  • Case studies to complete at the end of each day
  • Implementation of a complete automated pipeline in an ongoing project
  • Technical multiple-choice quiz at the end of the training

How the AWS Data Pipeline course is taught

  • Lectures illustrated with demonstrations
  • Intensive hands-on practice on the AWS console
  • Collaborative workshops and guided exercises
  • Access to digital course materials and supplementary resources

AWS Data Pipeline training: access and practical arrangements

The Training AWS Data Pipeline: Mastering Automation and Data Orchestration 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 Data Pipeline: Mastering Automation and Data Orchestration 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 Data Pipeline: Mastering Automation and Data Orchestration 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 Data Pipeline 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 Data Pipeline: frequently asked questions

What can participants do after AWS Data Pipeline: Mastering Automation and Data Orchestration training?+
They can understand the role and positioning of AWS Data Pipeline in data flow automation solutions, create, configure, and execute complex data processing pipelines and acquire skills to orchestrate transfers between different AWS services (S3, RDS, DynamoDB, EMR, Redshift, etc.). Those are the stated objectives of the AWS Data Pipeline: Mastering Automation and Data Orchestration program at Advanced level, checked by the end-of-session assessment.
What does the AWS Data Pipeline: Mastering Automation and Data Orchestration program cover, day by day?+
Day 1: AWS Data Pipeline Fundamentals and First Pipelines. Day 2: Advanced Scenarios and End-to-End Automation. Day 3: Monitoring, Optimization and Custom Integrations. The AWS Data Pipeline: Mastering Automation and Data Orchestration program runs over 3 days, delivered on site.
How is AWS Data Pipeline: Mastering Automation and Data Orchestration training assessed?+
Assessment relies on case studies to complete at the end of each day, implementation of a complete automated pipeline in an ongoing project and technical multiple-choice quiz at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the AWS Data Pipeline: Mastering Automation and Data Orchestration program, which an L&D team can file as evidence.
How much does AWS Data Pipeline: Mastering Automation and Data Orchestration training cost per participant?+
AWS Data Pipeline: Mastering Automation and Data Orchestration training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 for the whole group, up to 8 people. AWS, Azure or OVH infrastructure is extra, from $158 per day. 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 Data Pipeline: Mastering Automation and Data Orchestration 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 Data Pipeline: Mastering Automation and Data Orchestration 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 Data Pipeline: Mastering Automation and Data Orchestration training?+
Good general knowledge of AWS, proficiency in system administration basics and data processing fundamentals.
Is a certificate issued after AWS Data Pipeline: Mastering Automation and Data Orchestration 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 Data Pipeline: Mastering Automation and Data Orchestration 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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