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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Explore the projected return on investment from no-code training programs for businesses by March 2026, including cost savings, productivity gains, and real-world case studies.
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Don't let this gap widen
Without advanced MQTT mastery, 40% of IoT deployments fail due to broker outages, leading to 25% loss of real-time data and production stops up to 48h.
Non-scalable architectures saturate under 50 000 devices, exposing to cyberattacks: 70% of IoT incidents via poorly secured MQTT cost an average of 150k€.
Lack of clustering causes 99.9% downtime unavailability, impacting revenues.
Obsolescence risk: 60% of MQTT pros stuck on basics lose cloud contracts.
Invest 35h to avoid these pitfalls, scale confidently, and boost IoT ROI x3.
The Advanced MQTT Training - Deploy Secure and Scalable IoT training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Advanced MQTT Training - Deploy Secure and Scalable IoT training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Advanced MQTT Training - Deploy Secure and Scalable IoT training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the installation and tuning of high-performance MQTT brokers, configure persistence and bridging with Mosquitto and EMQX, perform load testing exercises simulating 10 000 connections, generate detailed logs, and build a first prototype cluster to validate IoT resilience.
Master TLS 1.3 protocols and certificates to encrypt MQTT streams, implement granular ACLs and JWT, test attacks through simulated pentest exercises, deploy OAuth2 with brokers, and secure a real industrial IoT case against critical data leaks.
Build distributed MQTT clusters with EMQX Enterprise, manage replication and automatic failover, simulate outages using chaos engineering tools, optimize QoS under 1 million messages/second, and deploy a scalable architecture ready for massive IoT production.
Integrate MQTT with InfluxDB, Kafka, and AWS IoT Core via plugins, develop custom bridges in Lua/Python, process real-time streams with EdgeX Foundry exercises, visualize data via Grafana, and build a complete interoperable IoT pipeline.
Complete an end-to-end IoT capstone project with Prometheus monitoring, diagnose bottlenecks using Wireshark and traces, resolve real failure scenarios, optimize latency under stress, and deliver an architecture report with enterprise deployment recommendations.
Target audience
IoT developers, systems engineers, embedded architects advancing their MQTT skills.
Prerequisites
Mastery of basic MQTT, Python/Node.js programming, Linux administration, TCP/IP fundamentals.
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