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Training Amazon SQS - Mastering Scalable Messaging Architectures

Ref: TUB423
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master standard and FIFO queues in Amazon SQS for high-performance enterprise message flows.
  • Design scalable event-driven architectures integrating SQS in professional certification training.
  • Optimize dead-letter queue management and redrives to minimize critical data loss.
  • Develop expert skills in monitoring SQS with CloudWatch and X-Ray for professional oversight.
  • Implement advanced patterns like fan-out and aggregation to boost enterprise system efficiency.
  • Deploy secure SQS solutions with IAM and KMS in Qualiopi certification training contexts.
  • Evaluate and certify acquired skills for immediate professional recognition.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Amazon SQS Architectures: Integration with Lambda and SNS (Scalable Design)

Discover expert foundations of Amazon SQS through real-world cases from leading enterprises, configure standard and FIFO queues to handle millions of messages per day, integrate SQS with AWS Lambda for asynchronous serverless processing, practice exercises on visibility timeout and delays, produce a deliverable architecture diagram with fan-in/fan-out patterns, analyze real-time CloudWatch metrics to optimize performance from the first session.

Module 2Expert Amazon SQS Message Management: Dead-Letter Queues and Redrives (Maximum Reliability)

Dive into advanced message management with dead-letter queue configurations to capture failures, implement automated redrive policies via AWS Console and CLI, test high-availability scenarios with failure simulations, develop Python scripts to purge and inspect DLQs, generate error rate analysis reports, apply exponential retry strategies for professional resilience, and validate skills through a certifying practical exercise.

Module 3Amazon SQS Security and Encryption: IAM, KMS, and VPC Endpoints (Enterprise Compliance)

Explore expert security protocols for Amazon SQS, configure granular IAM policies for zero-trust access control, integrate AWS KMS to encrypt messages at rest and in transit, deploy private VPC endpoints to isolate flows, simulate GDPR and SOC2 compliance audits, practice exercises on access logs via CloudTrail, produce a complete security policy as a deliverable, and optimize encryption costs in multi-account AWS environments.

Module 4Amazon SQS Monitoring and Optimization: CloudWatch, X-Ray, and Auto-Scaling (Performance Tuning)

Master advanced monitoring of Amazon SQS with custom CloudWatch dashboards to track metrics like ApproximateNumberOfMessages, integrate AWS X-Ray for end-to-end latency tracing, configure automated alarms linked to SNS for proactive alerts, test consumer auto-scaling with Lambda scaling, analyze logs via Athena for deep insights, develop a cost optimization script based on metrics, and deploy a complete supervision system as a certifying practical project.

Module 5Advanced Patterns and Real-World Amazon SQS: Aggregation, Throttling, and Migration (Pro Implementation)

Apply expert patterns like batch message aggregation and throttling for intensive workloads, migrate legacy systems to SQS using AWS DMS tools, study real scalable e-commerce cases handling 10k msg/s, integrate SQS with EventBridge for cross-service events, complete a full migration project with load testing, produce a deliverable architectural blueprint, evaluate performance via benchmarks, and obtain professional Amazon SQS competency certification.

Evaluation method

  • Daily technical quizzes on advanced SQS configurations with immediate feedback.
  • Final project: Complete SQS architecture deployed on AWS with analysis report.
  • Qualiopi certifying attestation validating acquired expert skills.

Learning method

  • 70% hands-on: AWS Console, CLI, and SDK exercises for total immersion.
  • 30% theory: Real-world enterprise case studies on SQS deployments.
  • Groups limited to 10 for personalized interactive remote coaching.
  • Post-training resources: videos, labs, and expert support for 3 months included.

Methods, materials and delivery

The Training Amazon SQS - Mastering Scalable Messaging Architectures program is delivered onsite or remote (blended-learning, e-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 SQS - Mastering Scalable Messaging Architectures 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 SQS - Mastering Scalable Messaging Architectures 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

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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