Training AWS CodePipeline - Automate Your CI/CD Data Pipelines

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: MHQ906
10 people max.
$4,620
In-company rate: from $7,865 for the whole teamAWS, Azure or OVH infrastructure: from $158 / day extra
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering AWS CodePipeline, your manual data deployments generate 40% delays according to Gartner, doubling operational costs due to recurring human errors.

  • Companies lose up to 25% competitiveness against automated competitors, risking DevOps talent leaks and failed cloud audits.

  • Your career stagnates without these essential CI/CD skills in Data Engineering, exposing you to professional obsolescence while a novice certifying training propels your pipelines to excellence.

Nawfel ABED, Learni trainer · Cybersecurity expert
Nawfel ABED

Learni trainer · Cybersecurity 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

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

AWS CodePipeline training objectives

  • Master the fundamentals of AWS CodePipeline for a professional, certifying Data Engineering training.
  • Develop skills in creating CI/CD pipelines tailored to business needs.
  • Configure code sources and build stages for automated data deployments.
  • Integrate AWS CodePipeline with ETL tools to optimize professional workflows.
  • Implement secure and scalable pipelines in a beginner environment.
  • Optimize monitoring and troubleshooting skills for increased productivity.

Program

AWS CodePipeline curriculum: 4 modules over 4 days

Module 1 : Introduction to AWS CodePipeline: Basics and Architecture (AWS Console, Simple Pipelines)

Discover the essential concepts of AWS CodePipeline through interactive demonstrations on the AWS console, configure your first pipeline from source code to deployment, explore the modular architecture with practical exercises on basic data flows, integrate ETL concepts to contextualize in Data Engineering, produce a functional deliverable tested in a group, while acquiring professional certifying skills suitable for beginners.

Module 2 : Configuring AWS CodePipeline: Sources and Builds (Git, CodeBuild, ETL Pipelines)

Dive into advanced configuration of sources like GitHub and CodeCommit, automate builds with AWS CodeBuild for robust data pipelines, apply hands-on exercises on ETL and pipeline integration, simulate real business scenarios with unit tests, generate deployable artifacts, strengthen your skills in in-person training for rapid, certifying upskilling.

Module 3 : AWS CodePipeline Deployments: Advanced Integrations (Spark, Kafka, Approvals)

Master deployments to EC2, Lambda, and ECS via AWS CodePipeline, integrate Apache Spark for data processing and Kafka and Airflow for orchestration, conduct practical labs on hybrid pipelines, manage approval gates and rollbacks, analyze real company cases, produce a complete ETL pipeline deployed, develop professional Data Engineering skills suitable for beginners.

Module 4 : Optimizing AWS CodePipeline: Monitoring and Best Practices (CloudWatch, Scalability)

Optimize your pipelines with CloudWatch for real-time monitoring, apply security and scalability best practices, test advanced troubleshooting scenarios, integrate tools like Airflow for complex data workflows, finalize a personal capstone project with expert feedback, consolidate your learning in certifying training, prepare for immediate production deployment in the enterprise.

How AWS CodePipeline skills are assessed

  • Daily interactive quizzes on AWS CodePipeline concepts
  • Final practical project: complete CI/CD data pipeline
  • Skills assessment through hands-on exercises and personalized feedback

How the AWS CodePipeline course is taught

  • 70% hands-on with real AWS labs (accounts provided)
  • Data Engineering company case studies
  • Individualized pedagogical support in small groups
  • Post-training resources: videos, templates, and community

AWS CodePipeline training: access and practical arrangements

The Training AWS CodePipeline - Automate Your CI/CD 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 Training AWS CodePipeline - Automate Your CI/CD 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 Training AWS CodePipeline - Automate Your CI/CD 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 AWS CodePipeline 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.

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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 CodePipeline: frequently asked questions

Which tools are used in AWS CodePipeline training?+
Hands-on work runs on AWS Console, simple Pipelines, git, codeBuild, ETL Pipelines and spark. Those tools come from the AWS CodePipeline program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after AWS CodePipeline training?+
They can master the fundamentals of AWS CodePipeline for a professional, certifying Data Engineering training, develop skills in creating CI/CD pipelines tailored to business needs and configure code sources and build stages for automated data deployments. Those are the stated objectives of the AWS CodePipeline program at Beginner level, checked by the end-of-session assessment.
What does the AWS CodePipeline program cover, day by day?+
Day 1: Introduction to AWS CodePipeline: Basics and Architecture (AWS Console, Simple Pipelines). Day 2: Configuring AWS CodePipeline: Sources and Builds (Git, CodeBuild, ETL Pipelines). Day 3: AWS CodePipeline Deployments: Advanced Integrations (Spark, Kafka, Approvals). Day 4: Optimizing AWS CodePipeline: Monitoring and Best Practices (CloudWatch, Scalability). The AWS CodePipeline program runs over 4 days, delivered on site.
How is AWS CodePipeline training assessed?+
Assessment relies on daily interactive quizzes on AWS CodePipeline concepts, final practical project: complete CI/CD data pipeline and skills assessment through hands-on exercises and personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the AWS CodePipeline program, which an L&D team can file as evidence.
How much does AWS CodePipeline training cost per participant?+
AWS CodePipeline training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 CodePipeline 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 AWS CodePipeline 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 CodePipeline training?+
Basic knowledge of cloud computing, familiarity with the AWS console (free account recommended), no prior experience in CI/CD or data pipelines required.
Is a certificate issued after AWS CodePipeline 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 CodePipeline 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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