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Training Raspberry Pi Expert - Deploy Scalable IoT

Ref: QBT886
10 people max.
From $3,465 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Optimize the performance of a multi-node Raspberry Pi cluster.
  • Deploy Kubernetes and Docker for scalable IoT applications.
  • Integrate advanced sensors and secure MQTT/CoAP protocols.
  • Strengthen security with encryption and custom firewalls.
  • Develop a complete IoT project with real-time monitoring.
  • Automate deployments via Ansible and CI/CD pipelines.
A child walking to school with a backpack
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 expert Raspberry Pi mastery, your IoT clusters overload, causing 40% downtime and 20k€/year maintenance losses.

  • Security flaws expose sensitive data, average breaches cost 150k€ (source IBM).

  • Non-scalable projects block growth, 70% IoT startup failures (Gartner).

  • Lose competitiveness to optimized competitors, IoT revenues stagnate at 30% of potential.

  • Invest 21 hours, avoid these pitfalls, boost ROI x5.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1Raspberry Pi System Optimization: Clustering and Performance (Linux Tools, Kubernetes).

Dive into configuring a high-availability Raspberry Pi cluster, install Kubernetes to orchestrate Docker containers, measure and boost CPU/RAM performance via secure overclocking, perform practical exercises on load balancing, create a Grafana dashboard for live monitoring, everything to scale your IoT projects without limits.

Module 2Advanced IoT Integrations with Raspberry Pi: Sensors, MQTT (Node-RED, Python).

Master Node-RED for complex IoT flows, connect industrial sensors via I2C/SPI, implement secure MQTT broker with TLS, code Python scripts for edge computing processing, test real-world cases like smart home, generate API-ready deliverables, experience the thrill of functional prototypes in just hours.

Module 3Security and Projects on Raspberry Pi: Ansible, CI/CD (Final Scalable Project).

Secure your Raspberry Pi with Fail2Ban, LUKS encryption, and WireGuard VPN, automate with Ansible playbooks, integrate GitHub Actions for CI/CD, deploy a complete IoT project on a cluster, evaluate with security audits, leave with a production-ready concrete portfolio, transform your ideas into robust professional solutions.

Evaluation method

  • Daily technical quizzes, evaluated practical projects, Raspberry Pi expert certification.

Learning method

  • 100% hands-on with virtual Raspberry Pi, real-world exercises, immediate feedback.

Methods, materials and delivery

The Training Raspberry Pi Expert - Deploy Scalable IoT 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 Raspberry Pi Expert - Deploy Scalable IoT 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 Raspberry Pi Expert - Deploy Scalable IoT 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.

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.

FAQ

Frequently asked questions

How much does the Training Raspberry Pi Expert - Deploy Scalable IoT training cost?+
The individual price is $3,465 (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 Raspberry Pi Expert - Deploy Scalable IoT training?+
The training lasts 3 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?+
Advanced Linux mastery, Python/C++, GPIO, and basic Raspberry Pi projects completed.
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.
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