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

Training Grafana IoT 2026 - Supervising IoT Data Streams in Real Time

Ref: QCG225
10 people max.
4200€ 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
4 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master Grafana IoT 2026 to visualize professional IoT data in real time
  • Develop interactive dashboards tailored to business needs, certified
  • Configure advanced alerts to prevent critical IoT incidents
  • Integrate Grafana with various IoT sources for comprehensive supervision
  • Optimize IoT monitoring performance in production environments
  • Implement automated workflows for proactive data management
  • Acquire certified Grafana skills to boost your IoT career

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 1Grafana IoT 2026 Fundamentals: Installation and Data Sources (MQTT, InfluxDB, Prometheus)

Quick installation of Grafana IoT 2026 in containerized mode with Docker, connection to real IoT streams via MQTT broker and time-series databases like InfluxDB, creation of basic panels to visualize sensors and metrics live, practical exercises on an industrial scenario with simulated data, first functional dashboards delivered and optimized for mobile, hands-on with Loki queries for IoT logs.

Module 2Advanced Grafana IoT 2026 Dashboards: Variables, Annotations, and Geolocation (Loki, GeoJSON)

Design of dynamic dashboards with templated variables to filter multi-site IoT streams, integration of annotations to track critical events like sensor failures, addition of interactive GeoJSON maps for real-time IoT asset tracking, collaborative workshops on business cases with real data, automated PDF report exports, responsiveness tests for multi-screen supervision, deliverable: complete dashboard ready for production.

Module 3Alerting and Automations in Grafana IoT 2026: Rules, Notifications, and Integrations (Slack, PagerDuty)

Configuration of unified alerts on dynamic IoT thresholds with advanced expressions, setup of notification channels to Slack, email, and PagerDuty for on-call teams, scripting of automations with Grafana OnCall for intelligent escalations, simulations of real IoT incidents to validate workflows, integration with CI/CD tools for alert deployments, production of documented playbooks, immediate value: proactive reduction of downtimes in companies.

Module 4Deployment and Optimization of Grafana IoT 2026: High Availability, Security, and Scaling (HAProxy, OAuth)

Clustered deployment of Grafana IoT 2026 with high availability using HAProxy and mirrored databases, securing via OAuth, RBAC, and encryption of sensitive IoT data, query optimization for millions of metrics with caching and sharding, monitoring the monitoring via meta-dashboards, exercises on horizontal scaling for IoT peaks, complete security audit with integrated tools, final deliverable: certified supervised IoT stack ready for Qualiopi audits in companies.

Evaluation method

  • Technical MCQ on Grafana IoT 2026 and practical cases
  • Development of a complete IoT dashboard, evaluated
  • Presentation of the ongoing project with live demo

Learning method

  • Live sessions by Grafana expert trainer experienced in IoT production
  • Hands-on exercises on simulated real IoT environments
  • Evolving ongoing project over 4 days with continuous feedback
  • Complete resources: slides, videos, shared GitHub repository

Methods, materials and delivery

The Training Grafana IoT 2026 - Supervising IoT Data Streams in Real Time 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 Grafana IoT 2026 - Supervising IoT Data Streams in Real Time 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 2026 - Supervising IoT Data Streams in Real Time 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