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.
Learning objectives
- Master the serverless architecture of Amazon Aurora for optimal professional performance in enterprise settings.
- Develop advanced skills in Aurora MySQL and PostgreSQL clustering to scale certified applications.
- Design high availability strategies and automated backups with Amazon Aurora.
- Optimize queries and monitoring via CloudWatch to reduce costs.
- Implement secure deployments and migrate legacy databases to Aurora in enterprise contexts.
- Deploy Aurora Global solutions for minimal latency in distributed environments.
- Evaluate Aurora performance to certify advanced cloud database skills.
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.
Program
Module 1Amazon Aurora: Advanced Architecture and Cluster Configuration (MySQL, PostgreSQL, AWS Tools)
Discover Amazon Aurora's distributed architecture with shared storage and asynchronous replication, configure primary/secondary clusters via the AWS console and CLI, perform practical provisioning exercises, test MySQL/PostgreSQL compatibility on real enterprise cases, generate deliverables like optimized architecture diagrams, integrate VPC and security groups for secure deployment, measure initial performance with benchmarks.
Module 2Amazon Aurora: Performance Tuning and Auto-Scaling (CloudWatch, Read Replicas, Optimization Tools)
Dive into Aurora performance optimization via advanced indexing and query tuning, deploy read replicas and Aurora Serverless v2 for automatic scaling, analyze real-time CloudWatch metrics during practical workshops, simulate load spikes with tools like Apache JMeter, produce quantified optimization reports, migrate legacy workloads to Aurora with minimal downtime, apply best practices to reduce costs by up to 50% in real production.
Module 3Amazon Aurora: Security, Backup, and Global Monitoring (IAM, Snapshots, Aurora Global Database)
Master Aurora security with KMS encryption, IAM roles, and audit logs, configure point-in-time backups and fast restores via hands-on workshops, implement Aurora Global for cross-region replication, proactively monitor with CloudWatch alarms and X-Ray, develop a comprehensive disaster recovery plan for critical enterprise cases, generate personalized dashboards as final deliverables, evaluate resilience through failure simulations, certify skills with a live-deployed capstone project.
Evaluation method
- Daily interactive quizzes on Aurora architectures and optimizations.
- Real-world case studies with performance analysis and quantified reports.
- Final project: Deployment of a scalable Aurora cluster evaluated by experts.
Learning method
- 70% hands-on approach with real AWS labs in remote format.
- Concrete enterprise cases to anchor professional skills.
- Personalized pedagogical support via dedicated Slack post-training.
- Certifying resources: templates, videos, and 30-day lab access.
Methods, materials and delivery
The Training Amazon Aurora - Optimizing Scalable Cloud Databases 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 Aurora - Optimizing Scalable Cloud Databases 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 Aurora - Optimizing Scalable Cloud Databases 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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