Training Amazon SNS - Mastering Python Push Notifications

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: SHP784
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering Amazon SNS, 65% of novice cloud applications fail to scale notifications, resulting in average project delays of 3 months according to Gartner.

  • Companies lose up to 150k€ annually in hidden costs from unreliable messaging systems, with downtime impacting 40% of end users.

  • Your career stagnates without these essential Python-AWS skills as demand for SNS developers multiplies by 4 by 2025.

  • Invest now to avoid these pitfalls and drive your projects into secure production.

Célian Lebacle, Learni trainer · Web & mobile expert
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Amazon SNS training objectives

  • Master the fundamentals of Amazon SNS to develop professional skills in push notifications
  • Configure SNS topics via boto3 in a certifiable training adapted to companies
  • Implement publications and subscriptions to optimize asynchronous communications
  • Develop scalable Python applications integrating SNS in production
  • Deploy serverless workflows with SNS to accelerate business projects
  • Acquire certifiable AWS skills to boost your career in Python development

Program

Amazon SNS curriculum: 4 modules over 4 days

Module 1 : Introduction to Amazon SNS: basics and Python setup (boto3, IAM)

Discover the key concepts of Amazon SNS, a scalable pub/sub messaging service, through hands-on Python initiation with the boto3 library. Install the AWS environment, configure IAM permissions for a secure account, create your first SNS topics, and test simple publications. Complete guided exercises on HTTP/SMS/Email protocols, analyze CloudWatch logs to monitor messages, and produce a first functional Python script sending notifications, building beginner skills in a single dynamic day.

Module 2 : Advanced Amazon SNS: subscriptions and filters (Python scripting, JSON policies)

Dive into SNS subscription management with Python, coding boto3 scripts to subscribe various endpoints like SQS or Lambda. Apply advanced JSON filtering policies to intelligently route messages, test real-world business application scenarios. Develop attribute-based filters, integrate ARN validations, and debug common errors via the AWS console, producing deliverables like a custom Python dashboard, ideal for advancing professional skills in push notifications.

Module 3 : Amazon SNS Integration: fanout and dead-letter (boto3 apps, SQS coupling)

Build fanout architectures with SNS in Python, publishing to multiple subscribers to scale enterprise notifications. Couple SNS with SQS for queue management, implement dead-letter queues via boto3 to capture failures, and simulate high loads. Code Lambda handlers triggered by SNS, optimize costs with CloudWatch metrics, and validate concrete use cases like IoT alerts, generating a complete and robust application prototype by the end of the day.

Module 4 : Amazon SNS Deployment: monitoring and best practices (CI/CD Python, security)

Master production deployment of Python SNS applications with CI/CD pipelines via CodePipeline, secure KMS access to encrypt messages. Configure advanced CloudWatch alarms, integrate SNS with EventBridge for orchestrated workflows, and audit GDPR compliance. Complete a personalized final project, deploy on AWS, and receive a performance report, consolidating certifiable skills for immediate professional use in the enterprise.

How Amazon SNS skills are assessed

  • Interactive quizzes at the end of each day on SNS and boto3 concepts
  • Practical case studies with Python scripts validated by the trainer
  • Final project: complete SNS architecture deployed and orally defended

How the Amazon SNS course is taught

  • Active pedagogy with 70% hands-on practice on real AWS exercises
  • Unlimited video support and replays of remote sessions
  • Access to e-learning platform for 6 months post-training for review
  • Individual coaching to personalize Python-SNS projects

Amazon SNS training: access and practical arrangements

The Training Amazon SNS - Mastering Python Push Notifications program is delivered onsite or remote (blended-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 Amazon SNS - Mastering Python Push Notifications 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 Amazon SNS - Mastering Python Push Notifications 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your Amazon SNS training

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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Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Amazon SNS: frequently asked questions

Which tools are used in Amazon SNS training?+
Hands-on work runs on boto3, IAM, python scripting, JSON policies, boto3 apps and SQS coupling. Those tools come from the Amazon SNS program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Amazon SNS training?+
They can master the fundamentals of Amazon SNS to develop professional skills in push notifications, configure SNS topics via boto3 in a certifiable training adapted to companies and implement publications and subscriptions to optimize asynchronous communications. Those are the stated objectives of the Amazon SNS program at Beginner level, checked by the end-of-session assessment.
What does the Amazon SNS program cover, day by day?+
Day 1: Introduction to Amazon SNS: basics and Python setup (boto3, IAM). Day 2: Advanced Amazon SNS: subscriptions and filters (Python scripting, JSON policies). Day 3: Amazon SNS Integration: fanout and dead-letter (boto3 apps, SQS coupling). Day 4: Amazon SNS Deployment: monitoring and best practices (CI/CD Python, security). The Amazon SNS program runs over 4 days, delivered on site.
How is Amazon SNS training assessed?+
Assessment relies on interactive quizzes at the end of each day on SNS and boto3 concepts, practical case studies with Python scripts validated by the trainer and final project: complete SNS architecture deployed and orally defended. Learni issues a completion certificate together with the individual assessment report at the end of the Amazon SNS program, which an L&D team can file as evidence.
How much does Amazon SNS training cost per participant?+
Amazon SNS training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Amazon SNS training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Amazon SNS training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Amazon SNS training?+
Basic Python programming (syntax, functions), free AWS account, elementary JSON knowledge.
Is a certificate issued after Amazon SNS training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Amazon SNS training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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