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 Amazon SNS Training - Mastering Scalable AWS Notifications training are: Basic knowledge of AWS and cloud computing, programming experience in Python or JavaScript. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Amazon SNS Training - Mastering Scalable AWS Notifications training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Amazon SNS Training - Mastering Scalable AWS Not... | 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 Amazon SNS Training - Mastering Scalable AWS Notifications 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 Amazon SNS Training - Mastering Scalable AWS Notifications 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 Amazon SNS Training - Mastering Scalable AWS Notifications 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 objectives

Master the fundamentals of Amazon SNS for professional enterprise notifications

Develop scalable pub/sub systems with Amazon SNS

Configure topics and subscriptions for reliable communications

Integrate Amazon SNS into AWS-certified applications

Implement push notifications and SMS in production

Optimize costs and performance of Amazon SNS

Acquire practical skills for enterprise projects

Training program

Module 1Amazon SNS Fundamentals: Concepts and Initial Setup (AWS Console, CLI)

Discovery of Amazon SNS pub/sub principles, creation of a dedicated AWS account, hands-on with the console and AWS CLI installation for quick setup, first message sending tests via Python SDK, practical exercises on basic topics, production of simple notifications, and verification of CloudWatch logs to validate learning from the first session.

Module 2Amazon SNS Topics and Subscriptions: Intelligent Message Routing (FIFO, Standard)

In-depth configuration of standard and FIFO Amazon SNS topics for lossless routing, addition of HTTP/S, email, and Lambda subscriptions, implementation of message filters to target recipients, practical workshops on system alert cases, development of a Python script to publish events, analysis of delivery metrics to optimize enterprise reliability.

Module 3Amazon SNS Integrations: Connections with SQS, Lambda, and Mobile Services (APNS, FCM)

Exploration of Amazon SNS fanouts to SQS and Lambda for decoupled architectures, configuration of mobile push notifications via APNS and FCM, practical integration into a Node.js app, end-to-end testing with mobile emulators, resolution of common error scenarios like dead-letter queues, creation of a real-time alert prototype to enhance professional responsiveness.

Module 4Advanced Amazon SNS Notifications: SMS, Email, and Encryption (KMS)

Deployment of scalable SMS and email campaigns with Amazon SNS, activation of message encryption via AWS KMS for GDPR compliance, customization of JSON payloads for business use cases, exercises on bounce and opt-out management, development of a CloudWatch monitoring dashboard, production of deliverables ready for enterprise production integration.

Module 5Amazon SNS Deployment and Optimization: 2026 Best Practices and Red Thread Project (IaC Terraform)

Synthesis with IaC deployment of Amazon SNS stacks via Terraform and CloudFormation, cost optimization and automatic scaling, security audit and high availability, completion of the red thread project on a concrete enterprise case such as IoT alerts, code review by the expert trainer, provision of resources for immediate certifiable implementation.