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Training AWS IoT Core 2026 - Deploying Scalable Secure IoT

Ref: BNN519
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 AWS IoT Core 2026 to deploy massive IoT fleets in enterprises
  • Configure secure and certified pipelines for professional competencies
  • Optimize performance and costs of IoT solutions with advanced AWS tools
  • Implement real-time monitoring and predictive analytics on IoT Core
  • Develop hybrid IoT-cloud strategies tailored to expert-level training
  • Deploy DevOps automations for scalable and resilient IoT

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1AWS IoT Core 2026 Architecture: New Features and Scalability (SDK, Device Shadow, Fleet Indexing)

Dive into the evolutions of AWS IoT Core 2026 through practical workshops on distributed architecture, configure advanced Device Shadows for state synchronization, explore Fleet Indexing for massive queries, complete exercises with Python SDK for rapid integration, produce a complete architectural diagram with diagrams and simulated load tests, apply real-world industrial enterprise cases to validate expert skills.

Module 2Advanced Security in AWS IoT Core 2026: Authentication and Encryption (IAM, Cognito, X.509)

Strengthen IoT security with expert protocols, implement fine-grained IAM policies for fleets, integrate Cognito for user/device authentication, deploy X.509 certificates via hands-on exercises, simulate MITM attacks to test resilience, generate GDPR compliance reports, apply best practices to real connected factory cases, optimize configurations for hybrid enterprise environments.

Module 3AWS IoT Core 2026 Data Pipelines: Ingestion and Processing (Kinesis, Lambda, Greengrass)

Build scalable data pipelines, integrate Kinesis for massive streaming, trigger Lambda for edge processing, deploy Greengrass ML inference via practical labs, analyze high-velocity MQTT streams, produce customized Kibana dashboards, test failover on critical scenarios, apply to industrial projects to boost certified professional skills.

Module 4Monitoring and Optimization in AWS IoT Core 2026: Metrics and Auto-Scaling (CloudWatch, SageMaker)

Master IoT observability, configure predictive CloudWatch alarms, implement fleet auto-scaling via real exercises, integrate SageMaker for anomaly analytics, optimize costs with Cost Explorer simulations, generate proactive alerts, test resilience under extreme loads, apply enterprise strategies for maximum ROI in expert training.

Module 5DevOps Deployment for AWS IoT Core 2026: CI/CD and Hybridization (CodePipeline, EKS, on-prem)

Automate IoT deployments, orchestrate CI/CD with CodePipeline, hybridize EKS for edge-cloud, integrate on-prem via advanced VPN labs, deploy massive OTA updates, validate with chaos engineering, produce production-ready pipelines, consolidate learning via capstone project on simulated fleet, prepare for professional certification skills.

Evaluation method

  • Daily technical quizzes on AWS IoT Core 2026
  • Final project: deployment of a scalable secure IoT fleet
  • Certified evaluation with personalized expert feedback

Learning method

  • Hands-on projects on real AWS environments
  • Case studies from leading companies in industrial IoT
  • Agile methods adapted to expert level
  • Post-training resources: unlimited labs for 6 months

Methods, materials and delivery

The Training AWS IoT Core 2026 - Deploying Scalable Secure IoT 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 AWS IoT Core 2026 - Deploying Scalable Secure IoT 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 AWS IoT Core 2026 - Deploying Scalable Secure IoT 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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