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
- Deploy a high-availability Raspberry Pi cluster with Docker Swarm
- Integrate Raspberry Pi with cloud services like AWS IoT or Azure
- Optimize performance for real-time applications and edge computing
- Implement advanced security protocols (VPN, encryption, firewall)
- Develop complex IoT projects with MQTT, Node-RED, and databases
- Automate deployments via Ansible and CI/CD for Raspberry Pi
- Analyze and debug embedded systems under high load
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 this advanced training, 70% of Raspberry Pi projects fail in production due to unstable clusters, exposing you to losses of 5000€ in hardware and wasted time.
Your IoT systems risk cyber-attacks (40% increase in 2023), with compromised data and GDPR fines up to 4% of revenue.
Missing optimizations cause critical latencies, losing customers (25% abandonment if >2s delay).
Miss internal promotions due to lack of edge/cloud expertise.
Invest 28 hours to secure 10x ROI on your deployments.
Program
Module 1Advanced Architecture: Raspberry Pi Clustering (Docker, Kubernetes lite, High Availability)
Dive into configuring a multi-Raspberry Pi cluster, install Docker and Swarm to orchestrate containers, perform practical exercises on load balancing, test fault tolerance with concrete industrial IoT cases, produce a deliverable: functional cluster deployed and documented, gain autonomy to scale your embedded projects.
Module 2Cloud Integration and APIs: AWS IoT, Azure, RESTful Services
Connect your Raspberry Pi to AWS IoT Core and Azure IoT Hub, code Python scripts to send data via secure MQTT, integrate REST APIs with Node.js, simulate real sensor data flows in hands-on exercises, generate dynamic dashboards, leave with a cloud-ready prototype, transform your ideas into scalable and professional solutions.
Module 3IoT Edge Computing: MQTT, Node-RED, NoSQL Databases (InfluxDB)
Master Node-RED for visual IoT flows, configure MQTT broker on Raspberry Pi, integrate InfluxDB for time-series storage, develop exercises on edge processing of sensor data, analyze patterns with Grafana, create a deliverable: complete IoT system with automated alerts, boost your skills to dominate edge computing in production.
Module 4Security, Optimization, and Final Projects (Ansible, Monitoring)
Strengthen security with WireGuard VPN, advanced ufw, and encryption, optimize kernel for real-time via CPU/RAM tuning exercises, automate with Ansible playbooks, monitor via Prometheus, finalize a personal capstone project, validate skills through peer audit, leave as an expert ready to deploy in the enterprise.
Evaluation method
- Continuous evaluation through technical quizzes, practical exercises, and a final project graded on professional criteria.
Learning method
- Hands-on project-based learning, real industrial cases, personalized feedback in small groups.
Methods, materials and delivery
The Advanced Raspberry Pi Training - Deploy Complex IoT Projects 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 Advanced Raspberry Pi Training - Deploy Complex IoT Projects 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 Advanced Raspberry Pi Training - Deploy Complex IoT Projects 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.
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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FAQ
Frequently asked questions
How much does the Advanced Raspberry Pi Training - Deploy Complex IoT Projects training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Advanced Raspberry Pi Training - Deploy Complex IoT Projects training?+
The training lasts 4 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?+
Mastery of Linux, advanced Python programming, Raspberry Pi basics (GPIO, Raspbian, simple projects).
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.
On-site & remote
This training across cities
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