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Training Prefect 2026 - Orchestrating Scalable Data Pipelines

Ref: SAN453
10 people max.
6125€ 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 Prefect 2026 to orchestrate professional, certified data workflows
  • Develop complex flows with advanced state management and intelligent retries
  • Design scalable hybrid cloud deployments for the enterprise
  • Implement monitoring and observability for critical data pipelines
  • Optimize Prefect performance to reduce infrastructure costs
  • Integrate Prefect 2026 with existing data ecosystems (Kubernetes, AWS)
  • Produce certified deliverables to validate production skills

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 1Prefect 2026 Architecture: Advanced Flows and Hybrid Executions (Engines, Dynamic Tasks)

Dive into the modular architecture of Prefect 2026, configure hybrid agents for local or cloud executions, develop parameterized flows with dynamic tasks and mappings, perform exercises on real enterprise datasets, test automated retries and exponential backoffs, produce a first resilient pipeline with integrated logging, and validate through a shared group performance audit.

Module 2Prefect 2026 State Management: States, Caching, and Persistent Results (Postgres, S3)

Explore advanced state management in Prefect 2026, implement custom states for complex ML workflows, enable intelligent caching on costly tasks with S3 or Postgres storage, chain subflows for massive ETL pipelines, practice on concrete cases like IoT log transformation, generate automated persistent result reports, and optimize error recovery for 99.9% reliability.

Module 3Prefect 2026 Deployments: Scheduling and Scaling (Kubernetes, Serverless)

Master Prefect 2026 production deployments, deploy work pools on Kubernetes or AWS Lambda for auto-scaling, configure advanced CRON schedules with dynamic calendars, integrate secrets managers like HashiCorp Vault, test blue-green deployments on red thread projects, monitor execution queues in real-time, and produce Docker manifests ready for enterprise CI/CD.

Module 4Prefect 2026 Observability: Monitoring, Alerts, and Pro UI (Grafana, Slack)

Install and configure Prefect 2026 observability with the Pro UI, integrate distributed traces to Grafana and Slack/Teams alerts on SLAs, analyze latency and cost metrics via custom dashboards, debug failing flows with interactive replays, apply to enterprise cases like daily batch monitoring, generate automated SLOs, and train on compliance audits for sensitive pipelines.

Module 5Prefect 2026 Optimization: Best Practices and Enterprise Integrations (DBT, Spark)

Synthesize Prefect 2026 best practices for massive scaling, integrate with DBT and Spark for advanced data mesh, optimize cloud costs via intelligent spot instances, secure RBAC access and audit trails, finalize the red thread project with full-stack deployment, review performance via profiling, and prepare for internal certification with a portfolio of enterprise-ready deliverables.

Evaluation method

  • Certified MCQ on advanced Prefect 2026 concepts
  • Practical evaluation through complete pipeline deployment
  • Presentation of the red thread project and expert code review

Learning method

  • Courses delivered by active, certified Prefect data engineer trainers
  • Hands-on exercises on real cloud clusters and enterprise datasets
  • Evolving red thread project over 5 days with continuous feedback
  • Digital pedagogical support and provided open-source templates

Methods, materials and delivery

The Training Prefect 2026 - Orchestrating Scalable 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 Prefect 2026 - Orchestrating Scalable 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 Prefect 2026 - Orchestrating Scalable 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

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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