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Training Apache NiFi - Deploying Data Flows in Containers

Ref: IUF399
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 Apache NiFi to create professional data flows
  • Develop NiFi containerization skills with Docker in enterprise settings
  • Configure NiFi deployments on Kubernetes for scalable orchestration
  • Implement Helm to automate certified NiFi charts
  • Optimize NiFi pipelines in modern containerized environments
  • Acquire practical skills to integrate NiFi in professional training

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 1Introduction to Apache NiFi: Foundations and Docker Containerization (Initial Exercises)

Discover Apache NiFi principles through an intuitive interface, install it in a Docker container for a first simple data flow, perform practical exercises on basic processors like GetFile and PutFile, configure a basic NiFi cluster, test real-time JSON data transformations, produce a deliverable: first functional pipeline deployed locally with Docker, strengthening your professional skills from day one.

Module 2Advanced Apache NiFi Processors: Docker Volumes and Networks Integration (Real Cases)

Dive into NiFi processors like SplitJson, RouteOnAttribute, and UpdateAttribute, mount Docker volumes to persist NiFi data, configure Docker networks to connect NiFi to external databases, simulate IoT flows with Kafka via NiFi, debug common errors live, generate monitoring reports, obtain a deliverable: dockerized NiFi pipeline processing 1000 events per minute, ideal for enterprise upskilling.

Module 3Deploying Apache NiFi on Kubernetes: Pods and Services (Practical Labs)

Move to Kubernetes with Minikube, deploy NiFi in a StatefulSet pod for high availability, expose ports via Services and Ingress, integrate ConfigMaps for dynamic NiFi properties, scale a NiFi cluster horizontally, manage secrets for credentials, test resilience with rollouts, produce a deliverable: fault-tolerant Kubernetes NiFi deployment, boosting your professional orchestration skills.

Module 4Apache NiFi Helm Charts: Automation and Customization (Workshops)

Master Helm to templatize NiFi deployments, customize values.yaml for dev/prod environments, install official NiFi charts with helm upgrade, integrate hooks to initialize databases, monitor with Prometheus via Helm, migrate Docker configs to Helm, generate Grafana dashboards linked to NiFi, final deliverable: Helm chart for NiFi deployed on multi-node Kubernetes, certifying your container training achievements.

Module 5Optimizing Apache NiFi for Production: Monitoring and Security (Capstone Project)

Optimize NiFi performance with backpressure and load balancing on Kubernetes, secure flows with SSL and LDAP via Helm, implement full Prometheus/Grafana monitoring for NiFi, analyze integrated ELK logs, resolve disaster recovery scenarios, deploy an end-to-end enterprise pipeline, conclude with a certifying project: production-ready containerized NiFi flow, validating all acquired skills.

Evaluation method

  • Daily interactive quizzes on NiFi and Docker
  • Practical Kubernetes and Helm case studies
  • Final containerized project with trainer audit

Learning method

  • Active pedagogy 70% hands-on, 30% theory
  • Supervised remote labs with screen sharing
  • Unlimited access to replays and VM resources
  • 24/7 post-training pedagogical support

Methods, materials and delivery

The Training Apache NiFi - Deploying Data Flows in Containers 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 Apache NiFi - Deploying Data Flows in Containers 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 Apache NiFi - Deploying Data Flows in Containers 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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