🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Data Quality IoT Training - Optimizing the Reliability of Connected Data

Ref: TDJ901
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master advanced data quality techniques for enterprise IoT streams
  • Develop automated pipelines for sensor and sensor data validation
  • Design cleaning and profiling strategies for MQTT and LoRa in production
  • Implement certifying metrics for professional connected data quality
  • Optimize IoT data governance to boost team competencies
  • Deploy real-time monitoring tools for maximum IoT reliability

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1IoT Data Quality: Advanced Profiling and Anomaly Detection (MQTT, Sensors)

Dive into in-depth analysis of IoT data streams from sensors via MQTT, using tools like Great Expectations and Pandas to profile massive datasets, detect abnormal patterns with advanced ML algorithms, perform practical exercises on real cases of corrupted LoRa data, produce detailed quality reports as immediate deliverables to assess your enterprise's data maturity.

Module 2IoT Data Quality: Cleaning and Automated Validation (LoRa, Sensors)

Build specialized IoT ETL pipelines with Apache NiFi and Spark to clean sensor data from LoRa networks, apply complex validation rules to MQTT metadata, test live on simulations of faulty sensors, integrate custom Python scripts for automatic enrichment, generate interactive dashboards with Grafana as concrete deliverables, strengthening the robustness of your professional connected systems.

Module 3IoT Data Quality: Governance and Expert Metrics (MQTT & LoRa)

Define comprehensive IoT data governance with Collibra adapted for MQTT and LoRa streams, implement advanced KPIs like completeness, accuracy, and freshness of sensor data, analyze case studies from leading IoT enterprises, develop custom quality scoring models via TensorFlow, export compliance certificates as deliverables, optimizing real-time decision-making processes for your professional projects.

Module 4IoT Data Quality: Real-Time Monitoring and Scalability (Sensors, IoT)

Deploy streaming data quality monitoring systems with Kafka and Prometheus for IoT sensors, configure automated alerts for MQTT/LoRa degradations, simulate massive loads to test scalability, integrate AI for predicting future anomalies, practice on AWS IoT Core cloud environments, produce rapid intervention playbooks as actionable deliverables, ensuring high availability in enterprise production.

Module 5IoT Data Quality: Integration and Final Project Certification (Sensors)

Integrate all learned techniques into a complete IoT capstone project involving MQTT, LoRa, and real sensors, audit end-to-end quality with tools like Monte Carlo, prepare an internal professional data quality competency certification, present your solution to an expert jury, receive a deliverable portfolio with source code and reports, validating your expertise for critical enterprise IoT deployments.

Evaluation method

  • Advanced quizzes on IoT data quality and MQTT/LoRa protocols
  • Practical case studies with real sensors and anomaly analysis
  • Final certifying project: complete data quality pipeline deployment

Learning method

  • 70% hands-on: practical workshops on IoT and data quality tools
  • 30% theory: enterprise cases and expert best practices
  • Adaptive learning via real-time remote feedback
  • Qualiopi certification for professional competency validation

Methods, materials and delivery

The Data Quality IoT Training - Optimizing the Reliability of Connected Data 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 Data Quality IoT Training - Optimizing the Reliability of Connected Data 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 Data Quality IoT Training - Optimizing the Reliability of Connected Data 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

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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24 h · Industry-certified · Corporate funding
WhatsApp