Training Grafana IoT - Mastering Advanced IoT Data Monitoring

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: EHT740
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without advanced Grafana IoT mastery, 70% of IoT incidents go undetected, triggering production stoppages that cost up to 100k€ per hour according to Gartner.

  • Companies lose 25% of IoT data through poor visualization, undermining strategic decisions and GDPR compliance.

  • Careers stall: IoT engineers lacking Grafana skills struggle to reach senior DevOps roles and face obsolescence as 75 billion devices come online by 2025.

  • Invest now to secure your monitoring and advance your expertise.

Nawfel ABED, Learni trainer · Cybersecurity expert
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,809 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Grafana IoT training objectives

  • Master advanced Grafana configuration for real-time IoT data streams.
  • Develop custom dashboards optimized for professional IoT analysis.
  • Integrate Grafana with IoT sources like Prometheus and InfluxDB in enterprise settings.
  • Optimize alerts and visualizations for certified IoT data supervision.
  • Implement scalable Grafana IoT deployments in cloud environments.
  • Design robust IoT monitoring pipelines to enhance DevOps skills.

Grafana IoT curriculum: 5 modules over 5 days

Module 1 : Grafana IoT Fundamentals: Advanced Data Source Configuration (MQTT, InfluxDB)

Discover expert techniques to connect Grafana to IoT streams via MQTT and CoAP, configure time-series data sources with InfluxDB and Prometheus, perform practical exercises on IoT sensor simulations, test advanced Loki queries for logs, and create your first interactive dashboards tailored to industry, strengthening your professional skills in certified monitoring.

Module 2 : Grafana IoT: Designing Advanced Dashboards and Dynamic Variables (Grafana Tools, IoT Plugins)

Dive into creating ultra-high-performance Grafana IoT dashboards with template variables, integrate heatmaps and graphs panels to visualize real-time IoT metrics, explore specialized plugins like Grafana IoT Gateway, apply concrete cases from connected factories, optimize performance via annotations and thresholds, and export professional reports for certified enterprise supervision.

Module 3 : Grafana IoT: Intelligent Alerts and Notifications (ELK Integration, Datadog for IoT)

Configure advanced alert rules in Grafana to detect IoT anomalies, integrate with ELK Stack for enriched logs and Datadog for multi-source correlations, simulate sensor failure scenarios, deploy automated Slack/Email channels, analyze predictive metrics via machine learning plugins, and validate production-ready deliverables, boosting your professional monitoring skills.

Module 4 : Grafana IoT: Scaling and High Availability (Kubernetes, Cloud IoT Deployments)

Master Grafana IoT deployment in Kubernetes clusters with Helm charts, integrate AWS IoT Core and Azure IoT Hub, optimize for high availability via replicas and sharding, test load balancing exercises on 1000+ virtual sensors, secure with OAuth and RBAC, generate scalable architectures for enterprises, and prepare certified blueprints for robust supervision.

Module 5 : Grafana IoT: Advanced Projects and Optimization (Real Cases, ML Integrations, Certification)

Complete a full capstone Grafana IoT project on a real industrial case, integrate ML for predictions via TensorFlow plugins, optimize queries for zero downtime, conduct peer-programming code reviews, deploy in simulated production with GitLab CI/CD, evaluate performance via benchmarks, and obtain your certifying certificate, consolidating your professional skills in cutting-edge enterprise monitoring.

How Grafana IoT skills are assessed

  • Daily technical quizzes on advanced Grafana IoT.
  • Final practical project with simulated IoT deployment.
  • Qualiopi certificate and monitoring skills badge.

How the Grafana IoT course is taught

  • 70% hands-on: Grafana IoT workshops.
  • 30% theory: real industrial case studies.
  • Individual live remote mentoring.
  • Post-training resources: IoT dashboard templates.

Grafana IoT training: access and practical arrangements

The Training Grafana IoT - Mastering Advanced IoT Data Monitoring 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 Training Grafana IoT - Mastering Advanced IoT Data Monitoring 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 Grafana IoT - Mastering Advanced IoT Data Monitoring 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.

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.

Our method

How Learni guarantees the quality of your Grafana IoT training

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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Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Grafana IoT: frequently asked questions

Which tools are used in Grafana IoT training?+
Hands-on work runs on MQTT, influxDB, grafana Tools, ioT Plugins, ELK Integration and datadog for IoT. Those tools come from the Grafana IoT program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Grafana IoT training?+
They can master advanced Grafana configuration for real-time IoT data streams, develop custom dashboards optimized for professional IoT analysis and integrate Grafana with IoT sources like Prometheus and InfluxDB in enterprise settings. Those are the stated objectives of the Grafana IoT program at Advanced level, checked by the end-of-session assessment.
What does the Grafana IoT program cover, day by day?+
Day 1: Grafana IoT Fundamentals: Advanced Data Source Configuration (MQTT, InfluxDB). Day 2: Grafana IoT: Designing Advanced Dashboards and Dynamic Variables (Grafana Tools, IoT Plugins). Day 3: Grafana IoT: Intelligent Alerts and Notifications (ELK Integration, Datadog for IoT). Day 4: Grafana IoT: Scaling and High Availability (Kubernetes, Cloud IoT Deployments). Day 5: Grafana IoT: Advanced Projects and Optimization (Real Cases, ML Integrations, Certification). The Grafana IoT program runs over 5 days, delivered on site.
How is Grafana IoT training assessed?+
Assessment relies on daily technical quizzes on advanced Grafana IoT, final practical project with simulated IoT deployment and qualiopi certificate and monitoring skills badge. Learni issues a completion certificate together with the individual assessment report at the end of the Grafana IoT program, which an L&D team can file as evidence.
How much does Grafana IoT training cost per participant?+
Grafana IoT training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Grafana IoT training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Grafana IoT training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Grafana IoT training?+
Intermediate mastery of Grafana, IoT protocols (MQTT, CoAP), basics in time-series databases and Linux.
Is a certificate issued after Grafana IoT training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
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