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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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The Training AWS IoT Core - Connecting Secure IoT Devices 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.
To ensure the quality of the Training AWS IoT Core - Connecting Secure IoT Devices training, Learni provides the following 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.
The assessment of skills acquired during the Training AWS IoT Core - Connecting Secure IoT Devices training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Introduction to AWS IoT Core. Understanding the AWS IoT architecture. Creating an IoT account. Setting up the development environment. Installing AWS IoT SDKs. First MQTT connection test. Practical exercises on concrete business cases. Setting up the ongoing project: a simulated IoT sensor. Basic security certificate management. Hands-on with AWS Console tools. Discovery of IAM policies for IoT. Exercises on device authentication. Ongoing project initialized with a virtual device.
Configuring Things in AWS IoT Core. Generating X.509 certificates. Testing secure MQTT connections. Publishing and subscribing to topics. Managing connection errors. Real cases: industrial sensors. Professional exercises on simulated hardware integration. Using the AWS IoT Device Simulator. Hands-on with Node.js SDK. Configuring QoS levels. Ongoing project: connect first real device. Debugging IoT connections. Initial security best practices. Business examples: factory monitoring.
In-depth exploration of the MQTT protocol. Hierarchical topics and wildcards. IoT rules for message routing. Integration with Lambda and DynamoDB. SQL queries for data filtering. Exercises on real data flows. Professional cases: supply chain. Ongoing project: implement custom rules. Testing message scaling. Managing device fleets. Hands-on with AWS CLI. Optimizing messaging performance. Business examples: smart cities.
Understanding the Device Shadow concept. Reported/desired operations. Device state synchronization. Basic OTA updates. Shadow integration with S3. Practical exercises on remote state. Real cases: smart thermostats. Ongoing project: Shadow for device control. Managing version conflicts. Best practices for reliability. Using SDK for Shadow API. Testing in enterprise environment. Examples: connected agriculture. Debugging Shadow states.
Deploying a complete IoT solution. Monitoring with CloudWatch. IoT alerts and logs. Scaling device fleets. Integrating security best practices. Final exercises on ongoing project. Presentation of real business case. Optimizing AWS IoT costs. Production best practices. Review of acquired skills. Preparation for AWS certification. Hands-on with monitoring dashboards. Examples: retail IoT. Closing with quiz and feedback.
Target audience
IoT engineers, embedded developers, IT managers, and cloud project leaders for upskilling in AWS IoT Core
Prerequisites
Basic AWS cloud knowledge, Python or Node.js programming, elementary IoT concepts
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