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 CloudWatch metrics and logs for professional enterprise supervision
- Configure advanced alarms and dashboards in this certifying training
- Develop skills in CloudWatch Insights to analyze AWS performance
- Implement events and automations to optimize cloud infrastructures
- Deploy multi-region monitoring solutions tailored to professional needs
- Optimize costs via CloudWatch for efficient enterprise resource management
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 CloudWatch 2026: Fundamentals of Metrics and Dashboards (AWS Console, CLI tools)
Discover the advanced basics of Amazon CloudWatch 2026 via the AWS console and CLI, configure custom metrics for EC2 and Lambda, create your first interactive dashboards with real-time graphs, perform practical exercises on real enterprise cases, export reports to analyze performance trends, while learning best practices for seamless integration into your cloud environments.
Module 2Amazon CloudWatch 2026: Logs and Insights for In-Depth Analysis (query language, patterns)
Dive into CloudWatch Logs and Insights, ingest logs from S3 and ECS, write complex queries in CloudWatch language to detect anomalies, identify error patterns via advanced visualizations, practice on real debugging scenarios, generate automated alerts on high log volumes, optimize retention to reduce costs, with deliverables like ready-to-deploy analysis notebooks.
Module 3Amazon CloudWatch 2026: Alarms, Events, and Automations (SNS, Lambda triggers)
Configure composite multi-metric alarms for proactive detection, integrate CloudWatch Events with Lambda and SNS for automated responses, test workflows on AWS incident simulations, deploy event rules for dynamic scaling, analyze alarm histories via Contributor Insights, produce intervention playbooks, apply concrete enterprise cases to minimize downtimes.
Module 4Amazon CloudWatch 2026: Advanced Integrations and Optimization (X-Ray, costs, multi-cloud)
Integrate CloudWatch with X-Ray to trace distributed applications, optimize costs via budgets and forecasts, explore hybridizations with other AWS services, perform exercises on multi-region and high-availability monitoring, deploy CloudWatch agents on on-premise, generate executive reports for decision-makers, conclude with a deliverable capstone project ready for enterprise production.
Evaluation method
- Daily interactive quizzes on key CloudWatch concepts
- Practical case studies with personalized feedback in remote format
- Final project: complete dashboard and AWS optimization report
Learning method
- Active pedagogy with 70% hands-on practice on real AWS labs
- Unlimited access to e-learning platform post-training
- Tutorial videos and downloadable resources for review
- 1-to-1 coaching support via chat and dedicated Q&A sessions
Methods, materials and delivery
The Training Amazon CloudWatch 2026 - Effectively Monitor AWS Resources 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 CloudWatch 2026 - Effectively Monitor AWS Resources 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 CloudWatch 2026 - Effectively Monitor AWS Resources 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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