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Training Azure Pipelines 2026 - Automating Data CI/CD Pipelines

Ref: PBS942
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the basics of Azure Pipelines 2026 for professional certification training in Data Engineering
  • Develop skills in CI/CD pipelines tailored to enterprise data flows
  • Configure automated environments for ETL and large-scale processing
  • Implement integrations with Spark, Kafka, and Airflow in real-world scenarios
  • Optimize data deployments to boost professional productivity
  • Design robust, certifiable pipelines for enterprise projects
  • Acquire practical data automation skills to accelerate careers

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Azure Pipelines 2026 Fundamentals: Installation and Initial Setup (Azure DevOps tools, YAML basics, simple pipeline deliverables)

Discover the Azure Pipelines 2026 interfaces using a free account, configure your first YAML pipeline for basic builds, complete hands-on exercises on hosted agents, test manual and automatic triggers, generate your first deployable artifact from a Git repo, integrate secure environment variables, while learning best practices for beginner Data Engineers with personalized trainer feedback.

Module 2Azure Pipelines 2026 for ETL & Pipelines: Data Flow Integration (ETL tools, custom tasks, data workflow deliverables)

Dive into ETL pipelines with Azure Pipelines 2026, create tasks for extraction-transformation-loading via Python scripts, chain parallel jobs for moderate data volumes, simulate real enterprise cases like SQL database migration to data lake, deploy secure artifacts, optimize with caching to speed up runs, produce success/failure reports, and validate skills with a supervised complete ETL exercise.

Module 3Azure Pipelines 2026 with Apache Spark: Distributed Processing (Spark cluster tools, Spark Submit jobs, scalable analysis deliverables)

Integrate Apache Spark into Azure Pipelines 2026 for big data processing, configure Spark Submit jobs on Databricks or EMR, manage JAR dependencies via pipelines, run exercises on real datasets like IoT logs, monitor performance with Azure Monitor, generate optimized Parquet outputs, test horizontal scalability, and complete an end-to-end Spark pipeline, strengthening Data Engineering skills in interactive in-person sessions.

Module 4Azure Pipelines 2026 with Kafka & Airflow: Streaming and Orchestration (Kafka topics tools, Airflow DAGs, real-time flow deliverables)

Master orchestration with Kafka and Airflow in Azure Pipelines 2026, deploy Kafka connectors for real-time data streams, integrate Airflow DAGs via PythonOperator tasks, simulate hybrid pipelines for IoT events or application logs, configure manual approvals for production, generate linked Grafana dashboards, test resilience with automated retries, and produce a complete streaming deliverable, ideal for data-driven enterprises.

Module 5Advanced Azure Pipelines 2026 for Data Engineering: Optimization and Deployment (multi-environment tools, security, production-ready deliverables)

Optimize your Azure Pipelines 2026 for dev/staging/prod environments, implement RBAC and Azure Key Vault secrets, deploy to Kubernetes or AKS for data scalability, review real enterprise failure cases, measure ROI via cost/performance metrics, finalize a capstone project integrating ETL-Spark-Kafka-Airflow, obtain your certification attestation, with post-training support for immediate enterprise implementation.

Evaluation method

  • Daily interactive quizzes on key concepts to validate progress
  • Final practical project: complete Azure Pipelines 2026 data pipeline
  • Qualiopi certification attestation issued after skills assessment

Learning method

  • 70% hands-on: practical exercises and labs on real Azure
  • Enterprise case studies: production-inspired data pipelines
  • Agile method: short iterations with trainer feedback
  • Post-training resources: replays, templates, alumni community

Methods, materials and delivery

The Training Azure Pipelines 2026 - Automating Data CI/CD 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 Azure Pipelines 2026 - Automating 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 Azure Pipelines 2026 - Automating 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

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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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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