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.
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Training: Mastering Device to Cloud Architecture for IoT: From Connectivity to Data Valorization
Learning objectives
- Understand the fundamental principles of Device to Cloud architecture for IoT.
- Know how to choose and configure appropriate communication protocols (MQTT, HTTP, CoAP, etc.).
- Set up connectivity between connected device and cloud platform.
- Ensure security of exchanges and identity management.
- Structure the collection, processing, and valorization of IoT data in the cloud.
- Deploy and monitor a Device to Cloud project on an industrial platform (Azure IoT, AWS IoT, Google IoT Core…).
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 this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Device to Cloud Architecture: Concepts, Use Cases, and Challenges
Definition of the complete IoT chain (from sensor to cloud). IoT system topology. Overview of connectivity protocols (Zigbee, LoRaWAN, Wi-Fi, LTE-M…). Comparative study of MQTT/HTTP/CoAP. Presentation of industrial and urban use cases. Security: specific threats and best practices. Introduction to IoT data models (JSON, CBOR, Protobuf…).
Module 2Implementing Connectivity and Device Management
Hands-on exercises: configuration of an IoT device (e.g., ESP32 microcontroller) for cloud connection. Provisioning, authentication, and certificate management. Implementation of the MQTT protocol (management, topics, quality of service). Monitoring of connected objects. Exercises on scaling and multi-device management. Securing exchanges (TLS/SSL, key management, strong authentication).
Module 3Data Valorization and Cloud Exploitation
Data flow modeling, gateways, brokers, and ingestion into the cloud. Presentation and hands-on integration on AWS IoT Core, Azure IoT Hub, and Google IoT Core. Implementation of serverless functions for real-time processing. Data structuring, business rules, storage (NoSQL, Data Lake). Dashboards, alerting, and real-time visualization. Cybersecurity approaches and compliance (GDPR, encryption at rest and in transit).
Evaluation method
- Development of a mini Device to Cloud project as a continuous thread, presented at the end of the training.
- Final multiple-choice quiz covering protocols, security, and architectures.
- Intermediate checks on practical implementation and security diagnostics.
Learning method
- Interactive courses with live technical demonstrations.
- Guided hands-on exercises on major Cloud platforms.
- Step-by-step development of a secure Device to Cloud solution.
- Access to comprehensive documentation and training slides.
Methods, materials and delivery
The Training: Mastering Device to Cloud Architecture for IoT: From Connectivity to Data Valorization 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 Training: Mastering Device to Cloud Architecture for IoT: From Connectivity to Data Valorization 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 Training: Mastering Device to Cloud Architecture for IoT: From Connectivity to Data Valorization 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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