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Advanced MQTT Training - Deploy Secure and Scalable IoT

Ref: ZVR565
10 people max.
$3,780 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
3 days
Remote

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Learning objectives

  • Configure MQTT brokers in high-availability clusters
  • Implement TLS security, authentication and advanced ACLs
  • Optimize QoS, persistence and performance under load
  • Integrate MQTT with AWS IoT and Azure clouds
  • Deploy and monitor MQTT fleets in production
  • Diagnose incidents via logs and tracing tools
  • Develop complex and scalable IoT use cases

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without advanced MQTT mastery, 70% of IoT projects fail due to security flaws (Gartner 2023), exposing to breaches costing 120 000€ on average per incident.

  • Poorly clustered brokers cause 40% downtime, losing 25% of revenue for connected industries.

  • Faulty QoS leads to loss of critical data, production delays up to 50k€/day.

  • Avoid these pitfalls: train to deploy flawlessly, secure your fleets, gain competitiveness in the explosive IoT market.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced MQTT Brokers: Mosquitto, EMQX, Clustering (tools, high availability, deliverables)

Install and configure Mosquitto and EMQX in cluster mode, set up session persistence and dynamic subscription management, perform load testing exercises with MQTT Explorer and JMeter, simulate failover scenarios, produce a resilient broker deliverable ready for production, while mastering optimizations for 10 000+ simultaneous connections.

Module 2MQTT Security and QoS: TLS, ACL, Persistence (methods, secure protocols, exercises)

Generate self-signed TLS certificates and CA, implement JWT authentication and granular ACLs on EMQX, test QoS levels 0-2 in degraded conditions, configure message retention and inter-broker bridges, practice simulated attacks to strengthen your setups, create a secure deliverable with vulnerability monitoring, boost the reliability of your critical IoT streams.

Module 3MQTT Integrations and Deployment: Clouds, Monitoring, IoT Cases (AWS, Prometheus, projects)

Integrate MQTT with AWS IoT Core and Azure IoT Hub via bridges, deploy on Docker/Kubernetes with Helm charts, configure Prometheus and Grafana for real-time monitoring, develop a concrete connected factory case with 1000 sensors, diagnose via Mosquitto logs and Wireshark, finalize a scalable deliverable project, ready to scale your enterprise IoT deployments.

Evaluation method

  • Graded practical labs, technical quizzes, final Qualiopi-certifying project.

Learning method

  • 70% practical exercises, 30% theory, real IoT cases in interactive remote format.

Methods, materials and delivery

The Advanced MQTT Training - Deploy Secure and Scalable IoT program is delivered onsite or remote (blended-learning, e-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 MQTT Training - Deploy Secure and 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 Advanced MQTT Training - Deploy Secure and 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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