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.
Learning objectives
- Master the design of AWS CodePipeline pipelines for professional data flows
- Develop advanced skills in ETL integration with Spark and Kafka
- Design automated deployment architectures for the enterprise
- Implement certifying workflows with Airflow and AWS services
- Optimize the performance and reliability of pipelines in production
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.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Theme: AWS CodePipeline Fundamentals for ETL & Pipelines (AWS CLI, IAM, S3)
Participants discover the advanced fundamentals of AWS CodePipeline applied to data flows. They configure secure environments, connect S3 sources, and prepare ETL pipelines. Practical exercises on concrete data engineering cases enable mastery of triggers and permissions. Deliverables include an initial functional pipeline.
Module 2Theme: Integrating Apache Spark into AWS CodePipeline (EMR, Glue, Spark jobs)
This day focuses on integrating Apache Spark via AWS CodePipeline. Learners deploy scalable Spark jobs, automate data transformations, and manage dependencies. Real enterprise use cases illustrate best practices. Exercises result in a complete, monitored Spark pipeline.
Module 3Theme: Orchestrating Kafka & Airflow with AWS CodePipeline (MSK, EventBridge)
Experts learn to couple Kafka and Airflow with AWS CodePipeline for real-time flows. Configuring MSK topics, EventBridge triggers, and Airflow DAGs are part of the workshops. Professional data streaming scenarios are addressed. Deliverables: operational Kafka-Airflow pipeline.
Module 4Theme: Advanced Testing and Monitoring of AWS CodePipeline (CloudWatch, X-Ray, rollback)
Focus on automated testing, monitoring, and resilience of AWS CodePipeline pipelines. Using CloudWatch and X-Ray to detect anomalies in ETL flows. Exercises include setting up automatic rollbacks on critical data. Concrete enterprise cases strengthen skills.
Module 5Theme: Production Deployment of AWS CodePipeline (security, scaling, certification)
Final day dedicated to moving AWS CodePipeline pipelines into production. Cost optimization, security reinforcement, and automatic scaling are covered. Participants finalize a certifying project integrating Spark, Kafka, and Airflow. Review of deliverables and enterprise best practices.
Evaluation method
- Final MCQ on advanced AWS CodePipeline concepts
- Evaluated practical project with presentation of the complete pipeline
- Self-assessment of acquired skills in data engineering
Learning method
- Daily practical workshops on real cases
- Access to a dedicated AWS platform during the training
- Materials and source codes provided in advance
- Personalized feedback on the created pipelines
Methods, materials and delivery
The Training AWS CodePipeline - Optimizing Expert 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 - Optimizing Expert 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 - Optimizing Expert 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.
Our method
Training quality, guaranteed at every step
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training AWS CodePipeline - Optimizing Expert Data Pipelines training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training AWS CodePipeline - Optimizing Expert Data Pipelines training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Confirmed mastery of AWS, solid experience with ETL, Apache Spark, Kafka, and data flow orchestration.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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