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 AWS CodePipeline 2026 to orchestrate complex data pipelines in a professional environment
- Develop advanced skills in ETL integration with Spark and Kafka in certifying workflows
- Design and optimize scalable Airflow pipelines for data-driven enterprises
- Implement secure and resilient automated deployments on AWS
- Deploy high-performance data CI/CD solutions tailored to business needs
- Evaluate and monitor pipeline performance for professional certification
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 1AWS CodePipeline: Advanced Fundamentals and Configuration (Git Sources, CodeBuild Builds)
Discover the new features of AWS CodePipeline 2026 through practical exercises on configuring multi-stage pipelines, integrate GitHub and Bitbucket sources, set up manual and automated approvals, test initial deployments on EC2 and Lambda, build your first functional pipeline with CloudWatch monitoring, while analyzing real enterprise data cases for immediate production application.
Module 2AWS CodePipeline: ETL & Advanced Data Pipelines (S3, Glue Integration, Transformations)
Dive into ETL pipelines with AWS CodePipeline, orchestrate extractions from S3 and RDS, apply transformations via AWS Glue and EMR, simulate massive data flows in practical workshops, integrate data quality validations, generate performance reports, and deploy a complete ETL pipeline ready for enterprise operations, with a focus on scalability and resilience.
Module 3AWS CodePipeline: Advanced Apache Spark (EMR Clusters, Distributed Processing)
Integrate Apache Spark into AWS CodePipeline 2026 for distributed data processing, launch Spark jobs on EMR via automated stages, optimize performance with partitioning and caching, develop custom PySpark scripts, test on real terabyte datasets, monitor via Ganglia and CloudWatch, and deliver an end-to-end scalable Spark pipeline for your data engineering projects.
Module 4AWS CodePipeline: Kafka & Airflow Orchestration (Real-Time Streams, DAGs)
Master Kafka and Airflow orchestration in AWS CodePipeline, configure Kafka MSK streams for real-time ingestion, generate Airflow DAGs hosted on MWAA, integrate cross-service triggers, simulate fault-tolerant scenarios in live coding, analyze logs and metrics, deploy an operational hybrid Kafka-Airflow-Spark workflow, ideal for continuous enterprise data pipelines.
Module 5AWS CodePipeline: Optimization, Security, and Production Deployment (Blue-Green, IaC Terraform)
Finalize with global optimization of AWS CodePipeline 2026, implement blue-green and canary deployments, secure via IAM roles and KMS, integrate Terraform for IaC, perform load tests on ETL-Spark-Kafka pipelines, analyze costs with Cost Explorer, produce a certifying final project with a custom dashboard, ready for immediate production and professional upskilling.
Evaluation method
- Daily technical quizzes on AWS CodePipeline and integrated tools
- Final project: Complete ETL pipeline with Spark, Kafka, and Airflow deployed
- Qualiopi certificate and personalized feedback for skills certification
Learning method
- 70% hands-on: practical workshops on real AWS environments
- Business case studies: failures and successes in data pipelines
- Post-training support: 3 months lab access and expert coaching
- Agile methods: peer-learning and collaborative challenges
Methods, materials and delivery
The Training AWS CodePipeline 2026 - Automating Advanced Data Pipelines program is delivered onsite or remote (blended-learning, e-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 2026 - Automating Advanced 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 2026 - Automating Advanced 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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