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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the design of complex CI/CD pipelines with AWS CodePipeline for data engineering workflows
- Develop professional skills in integrating Spark and Kafka into automated workflows
- Design resilient pipeline architectures tailored to the needs of modern enterprises
- Implement advanced orchestration strategies combining CodePipeline, Airflow, and AWS services
- Optimize the performance and security of ETL flows in production environments
- Deploy certifiable solutions ready for enterprise implementation
Our social commitment
A school kit donated to a child for every training
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
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: Advanced AWS CodePipeline Architecture for ETL (Spark integration, IAM roles, triggers)
Participants explore the design of AWS CodePipeline pipelines adapted to data engineering. They configure complex workflows integrating Apache Spark for batch and streaming processing. Practical exercises focus on securing IAM access, managing artifacts, and automated triggers. Concrete business cases illustrate the implementation of operational deliverables.
Module 2Theme: Kafka and Airflow Integration in AWS CodePipeline (orchestration, monitoring)
This day covers data flow orchestration by combining Kafka, Airflow, and AWS CodePipeline. Learners deploy professional pipelines capable of handling large volumes with advanced monitoring. Practical workshops enable the creation of automated deliverables, optimization of latencies, and integration of real-time alerts suited to data engineering environments.
Module 3Theme: Optimization and Scalability of AWS CodePipeline Pipelines (ETL performance)
Focus on optimizing AWS CodePipeline performance in demanding data engineering contexts. Participants test scalability strategies with Spark and Kafka, analyze bottlenecks, and implement concrete improvements. Exercises based on real business cases lead to measurable, certifiable deliverables.
Module 4Theme: Production Deployment and Governance of AWS CodePipeline (security, compliance)
The final day addresses moving robust AWS CodePipeline pipelines into production. Learners implement governance, traceability, and compliance for critical ETL flows. Practical work includes automated testing, rollback, and reporting. Each participant finalizes a complete deliverable ready for deployment in their enterprise.
Evaluation method
- Final AWS CodePipeline project deployed and tested
- Daily quizzes on ETL and orchestration concepts
- Continuous evaluation of produced technical deliverables
Learning method
- Hands-on workshops on AWS Console and CLI
- Real case studies from data-driven companies
- Collaborative work in small groups
- Personalized feedback on designed architectures
Methods, materials and delivery
The Training AWS CodePipeline - Optimizing Advanced Data CI/CD 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 Advanced Data CI/CD 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 Advanced Data CI/CD 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 Advanced Data CI/CD Pipelines training cost?+
The individual price is $4,620 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training AWS CodePipeline - Optimizing Advanced Data CI/CD Pipelines training?+
The training lasts 4 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, experience in ETL and data pipelines, solid knowledge of Python and cloud services.
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
This training across cities
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