Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training AWS IoT Core - Deploying Scalable IoT Fleets training are: AWS Solutions Architect Associate Certification, proficiency in MQTT/AMQP protocols and Python/Node.js programming. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training AWS IoT Core - Deploying Scalable IoT Fleets training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training AWS IoT Core - Deploying Scalable IoT F... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training AWS IoT Core - Deploying Scalable IoT Fleets training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training AWS IoT Core - Deploying Scalable IoT Fleets training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training AWS IoT Core - Deploying Scalable IoT Fleets training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master AWS IoT Core for professional scalable IoT deployments

Develop secure enterprise-grade data pipelines

Design advanced IoT architectures with edge computing

Implement zero-trust security on massive connected fleets

Optimize costs and performance for 2026 IoT projects

Integrate AWS IoT Core with cloud services for expert skills

Deploy monitored IoT solutions in certified production environments

Training program

Module 1AWS IoT Core Architecture: Device Configuration and Advanced MQTT (provisioning, shadows, pub/sub)

Dive into the expert architecture of AWS IoT Core by configuring virtual and physical devices, implement just-in-time provisioning with X.509 certificates, master MQTT topics for scalable pub/sub, handle device shadows for offline/online synchronization, perform exercises on simulated fleets of 1000+ devices, and produce a first secure registry deliverable with code review by the trainer.

Module 2AWS IoT Core Data Management: Rules Engine and S3/DynamoDB Integrations (filtering, transformation, storage)

Transform IoT streams into actionable data using the AWS IoT Core rules engine, configure SQL rules to filter/route MQTT payloads to S3, DynamoDB, or Lambda, integrate Firehose for analytics streaming, test on real Industry 4.0 cases like machine monitoring, develop custom JSON transformations, generate Kinesis dashboards to visualize 1M messages/hour, and obtain an optimized production-ready data pipeline.

Module 3AWS IoT Core Security and Scaling: Zero-Trust, Fleet Indexing, and Greengrass Edge (authentication, OTA)

Strengthen zero-trust security in AWS IoT Core with fleet provisioning, fine-grained IAM policies, and fleet indexing for massive queries, deploy AWS IoT Greengrass for disconnected edge computing, implement secure OTA updates on heterogeneous fleets, simulate MITM and DDoS attacks with mitigation, optimize for 2026 with ML anomaly detection via SageMaker, and produce a scaling plan for 10k devices with CloudWatch monitoring.

Module 4AWS IoT Core Production Deployment: Monitoring, Costs, and Advanced 2026 Cases (CI/CD, IoT ML, Hybrid Cloud)

Finalize your expertise by deploying an AWS IoT Core solution in production via CI/CD with CodePipeline, integrate ML for predictions via IoT Analytics/SageMaker, optimize costs with Savings Plans and auto-scaling, monitor with X-Ray and GuardDuty for zero incidents, apply to 2026 cases like smart cities or autonomous vehicles, complete the full red thread project with final audit, and leave with enterprise-certifiable skills.