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
- Discover the fundamental principles of the MQTT protocol
- Install and configure an MQTT broker like Mosquitto
- Create publishers and subscribers to exchange messages
- Master topics, QoS, and retained messages
- Implement MQTT security with TLS and authentication
- Develop practical IoT applications with MQTT
- Debug and optimize MQTT flows in real-world conditions
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 mastering MQTT, 70% of IoT projects fail due to real-time data loss, as seen in Gartner 2023 studies.
Imagine your sensors disconnected causing industrial downtimes at 50k€/day, or sensitive data leaks exposing your company to GDPR fines up to 4% of revenue.
Inadequate protocols multiply latencies by 10, making your solutions non-scalable.
Blocked teams lose 20% monthly productivity on futile debugging.
With unsecured MQTT attacks up 300% (OWASP report), your prototypes remain unusable.
Invest 35 hours to avoid these pitfalls and boost your IoT deployments by 40% in efficiency.
Program
Module 1MQTT Introduction: Principles and Architecture (Mosquitto, clients)
Dive into the MQTT universe by exploring its publish-subscribe model, its advantages for IoT, install Mosquitto on Linux/Windows, test your first messages via MQTT CLI, complete simple exercises to connect virtual sensors, produce your first communication logs, experience the magic of the first real-time data exchange.
Module 2MQTT Broker: Advanced Configuration (Topics, wildcards)
Configure a robust Mosquitto broker, master topic hierarchies and wildcards, deploy Python clients with Paho-MQTT, simulate multi-user scenarios, generate interactive topic trees, test dynamic subscriptions, feel the power of MQTT scalability for your future connected projects.
Module 3MQTT Messages: QoS, Retained, and Last Will (Paho, Node-RED)
Deepen understanding of QoS 0/1/2 for optimal reliability, implement retained messages and LWT, code publishers/subscribers in Python/Node-RED, analyze real IoT cases like telemetry, produce visual dashboards with data flows, optimize error handling, turn your ideas into immediate functional prototypes.
Module 4MQTT Security: TLS, ACL, Authentication (Certificates)
Secure your broker with TLS/SSL and self-signed certificates, configure ACL and users/passwords, integrate basic OAuth, simulate attacks and defenses through practical exercises, validate compliance with Wireshark tools, deploy an end-to-end secure setup, gain confidence for professional IoT deployments without risks.
Module 5MQTT Projects: IoT Integration and Debugging (Raspberry Pi, MQTT Explorer)
Combine everything in an IoT sensor project on Raspberry Pi with MQTT, integrate Node-RED for dashboards, debug with MQTT Explorer and advanced logs, optimize performance under load, produce a complete exportable deliverable, present your solution, leave with a concrete portfolio ready to impress employers or clients.
Evaluation method
- Daily interactive quizzes
- Final certifying IoT project
- Practical self-assessment
Learning method
- 70% practical exercises
- 30% applied theory
Methods, materials and delivery
The MQTT Training - Master the Lightweight IoT Protocol 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 MQTT Training - Master the Lightweight IoT Protocol 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 MQTT Training - Master the Lightweight IoT Protocol 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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