Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Advanced MQTT Training - Deploy Secure and Scalable IoT training are: Mastery of basic MQTT, Python/Node.js programming, TCP/IP protocols and JSON.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced MQTT Training - Deploy Secure and Scalable IoT training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Advanced MQTT Training - Deploy Secure and Scala... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

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.

Teaching resources provided

To ensure the quality of the Advanced MQTT Training - Deploy Secure and Scalable IoT training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Advanced MQTT Training - Deploy Secure and Scalable IoT training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Configure advanced MQTT brokers with Mosquitto/Eclipse

Implement QoS 0-1-2 for message reliability

Secure MQTT streams via TLS, JWT authentication

Integrate MQTT with AWS IoT Core and Azure IoT Hub

Optimize performance for 10k+ simultaneous connections

Diagnose failures with MQTT Explorer tools

Deploy MQTT architectures in cloud production

Training program

Module 1MQTT Brokers: Advanced Configuration (Mosquitto, bridges, clustering)

Dive into installing scalable Mosquitto brokers, configure inter-broker bridges for federation, test high-availability clustering via practical Docker exercises, create your first persistent topics with retention, analyze logs for initial debugging, everything to route millions of messages without latency.

Module 2MQTT QoS and Persistence: Advanced Methods (queues, retained messages)

Master QoS 0-1-2 by simulating disconnection scenarios, implement durable queues with NoSQL databases, generate retained messages for dynamic last-will, practice on real IoT cases like failing sensors, optimize throughput via benchmarks, leave with production-ready Python scripts.

Module 3MQTT Security: TLS, ACL, Authentication (certificates, OAuth)

Secure your streams with self-signed or CA TLS certificates, configure granular ACLs by user/topic, integrate OAuth2 and JWT for multiple clients, simulate MITM attacks to test robustness, deploy hybrid MQTT VPNs, practice security audits with MQTT.fx, gain peace of mind for critical deployments.

Module 4MQTT Integration and Scaling: Cloud, Monitoring (AWS IoT, Prometheus)

Integrate MQTT with AWS IoT and Azure via rules engines, scale to 50k connections with load balancers, monitor metrics via Prometheus/Grafana, solve concrete smart factory cases, finalize deliverable capstone project, certify your skills to boost your IoT career.