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Training Grafana IoT - Mastering Advanced IoT Data Monitoring

Ref: EHT740
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

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Learning 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.

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 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 2Grafana 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 3Grafana 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 4Grafana 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 5Grafana 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.

Evaluation method

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

Learning method

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

Methods, materials and delivery

The Training Grafana IoT - Mastering Advanced IoT Data Monitoring 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 - 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

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.

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