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: Basic knowledge of AWS (EC2, Lambda), 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 remote. 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 enterprise IoT deployments

Configure secure and scalable IoT devices using X.509 certificates

Implement AWS IoT rules to process data in real time

Develop integrations with AWS services such as Kinesis and S3

Optimize IoT fleet management for certified performance

Deploy resilient IoT solutions with CloudWatch monitoring

Training program

Module 1AWS IoT Core Fundamentals: Device Configuration and MQTT (SDK, topics, QoS, certificates)

Dive into the initial configuration of AWS IoT Core, install AWS SDKs for Python and Node.js, create dedicated IAM policies, register your first virtual devices with X.509 certificates, test MQTT publish and subscribe on hierarchical topics, adjust QoS levels for optimal reliability, perform practical exercises on a concrete connected factory use case, and produce a basic monitoring dashboard at the end of the day.

Module 2AWS IoT Core Management: Rules Engine and AWS Service Integrations (Lambda, DynamoDB, Kinesis)

Explore the AWS IoT Core rules engine to route incoming messages, implement actions to Lambda for serverless processing, integrate DynamoDB to store real-time telemetry data, configure Kinesis streams for streaming analytics, simulate a fleet of 100 devices emitting sensor data, develop custom SQL queries to filter critical events, apply these skills to an industrial project, and generate enterprise-ready automated reports.

Module 3Security and Scaling in AWS IoT Core: Fleets, OTA Jobs, and Monitoring (CloudWatch, Greengrass)

Strengthen security with certificate rotation and DDoS protection via AWS Shield, deploy OTA jobs for remote firmware updates on massive fleets, integrate AWS IoT Greengrass for hybrid edge computing, configure CloudWatch alarms to detect production anomalies, scale your solution to 10,000 simulated devices, optimize costs with Fleet Indexing, conclude with a complete certifying deployment on your personal project, deliverable: production-ready IoT architecture.