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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Deploy a high-performance Kubernetes cluster on Raspberry Pi
- Integrate TensorFlow Lite for real-time embedded AI
- Secure IoT communications with MQTT and TLS certificates
- Optimize performance via overclocking and kernel tuning
- Develop scalable edge computing applications
- Automate CI/CD deployments with GitHub Actions
- Implement an AI sensor project integrating hybrid cloud
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 this advanced training, 70% of Raspberry Pi IoT projects fail in production due to lack of cluster optimization, losing 20h/week on unstable kernel debugging.
Your competitors deploy embedded AI 5x faster, capturing 40% of edge computing markets.
Risk MQTT security outages exposing data (80% IoT breaches unpatched), 2x hardware overcosts without overclocking, and strategic delays blocking promotions.
Invest 35h to multiply project ROI by 4, avoid estimated annual losses of 15k€ per undertrained engineer.
Program
Module 1Raspberry Pi System Optimization: kernel tuning, overclocking (Docker, benchmarks)
Dive into accelerating your Raspberry Pi, install Docker for lightweight containers, measure performance with sysbench benchmarks, configure secure overclocking via config.txt, test hardware limits on real industrial IoT cases, produce personalized optimization reports, gain 3x speed for your critical projects.
Module 2Raspberry Pi Clusters: Kubernetes, K3s (networking, scaling)
Build a multi-node Raspberry Pi cluster with lightweight K3s, configure VLAN networking for isolation, deploy scalable pods via YAML manifests, simulate high-availability load on failover exercises, integrate Prometheus/Grafana monitoring, deliver a production-ready cluster for edge computing, transform prototypes into professional solutions.
Module 3Advanced Raspberry Pi IoT: MQTT broker, Home Assistant (sensors, automations)
Launch a secure Mosquitto broker on Raspberry Pi, connect Zigbee/Z-Wave sensors via hands-on exercises, program advanced automations in Home Assistant, manage real-time data flows with Node-RED, test on enterprise home automation cases, generate interactive dashboards, deploy your hybrid IoT gateway ready for production.
Module 4Embedded AI on Raspberry Pi: TensorFlow Lite, Coral TPU (ML models)
Install TensorFlow Lite on Raspberry Pi, train lightweight models for object detection, accelerate inferences with Coral USB Accelerator, code vision pipelines via OpenCV/Python, validate on live embedded videos, optimize for low power consumption, produce a complete edge AI app, revolutionize your smart prototypes.
Module 5Raspberry Pi Security and Integrated Projects: TLS, CI/CD (final project)
Secure your Raspberry Pi with Let's Encrypt certificates, implement UFW/NFTables firewall, automate CI/CD with GitHub Actions for zero-downtime deployments, integrate everything into a secure AI sensor project, debug real vulnerabilities, deliver a certified portfolio, leave with pro-level expertise to dominate industrial IoT.
Evaluation method
- Daily technical quizzes, graded final project, skills self-assessment before/after
Learning method
- 100% hands-on, real-world exercises, personalized coach feedback, permanent open-source resources
Methods, materials and delivery
The Advanced Raspberry Pi Training - Master IoT Clusters and Embedded AI 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 - Master IoT Clusters and Embedded AI 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 - Master IoT Clusters and Embedded AI 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 - Master IoT Clusters and Embedded AI training cost?+
The individual price is $5,775, and the team / on-site price is $10,106 (USD). A detailed quote is sent within one business day.
How long is the Advanced Raspberry Pi Training - Master IoT Clusters and Embedded AI training?+
The training lasts 5 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, basic GPIO/electronics, prior Raspberry Pi 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
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