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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Data Quality IoT Training - Optimizing the Reliability of Connected Data
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
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
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Ignoring data quality in IoT exposes organizations to corrupted sensor data, causing 30% errors in analyses according to Gartner, leading to flawed decisions and financial losses estimated at 15 million euros per year for an average company.
Connected-system failures via MQTT/LoRa triggered by poor data freshness produce critical production shutdowns that damage competitiveness and risk RGPD penalties for data non-compliance.
Without expert mastery, IoT engineers' careers stall against the competition while companies lose innovation opportunities.
Invest now in this training to secure your connected data flows.
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, 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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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FAQ
Frequently asked questions
How much does the Data Quality IoT Training - Optimizing the Reliability of Connected Data training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Data Quality IoT Training - Optimizing the Reliability of Connected Data training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced mastery of IoT protocols like MQTT and LoRa, expertise in processing massive sensor data, solid skills in data engineering and Python for IoT stream analysis
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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