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Training Edge Computing - Reduce Latency and Boost Apps

Ref: PNC610
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 the fundamentals of Edge Computing in a certified professional training
  • Develop skills to deploy edge architectures in the enterprise
  • Configure edge solutions to reduce application latency
  • Implement concrete Edge Computing use cases with cloud tools
  • Optimize network performance using professional edge practices
  • Design secure edge deployments for scalable projects

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Edge Computing Fundamentals: Principles and Basic Architectures (AWS Outposts, Azure Stack Edge)

Discover the key concepts of Edge Computing during this first immersive day, exploring decentralized architectures that bring data processing closer to end users, through practical demonstrations on AWS Outposts and Azure Stack Edge, with exercises on modeling edge data flows, analysis of real cases from industries like automotive IoT, and creation of a simple architectural diagram as a concrete deliverable to anchor your professional skills from the start.

Module 2Edge Computing Infrastructure: Deployment and Initial Configuration (Kubernetes Edge, Akamai EdgeWorkers)

Dive into deploying Edge Computing infrastructures with Kubernetes Edge and Akamai EdgeWorkers, configuring hybrid cloud-edge clusters in hands-on workshops, test latency reduction on real network simulations, analyze integrations with CDNs for optimal performance, work on e-commerce use cases with traffic spikes, and produce a functional edge deployment plan, strengthening your practical skills for immediate enterprise projects.

Module 3Edge Computing Security: Protocols and Sensitive Data Management (TLS Edge, Zero Trust)

Deepen security in Edge Computing by implementing TLS Edge and the Zero Trust model on simulated environments, configure granular access policies with tools like Fastly Compute, perform audits of common edge vulnerabilities, apply exercises on real-time IoT data protection, integrate distributed encryption mechanisms, and validate your skills through a comprehensive edge security report, essential for secure professional deployments.

Module 4Edge Computing Optimization: Performance and Scalability (Cloudflare Workers, Edge Monitoring)

Optimize Edge Computing performance with Cloudflare Workers and monitoring tools like Datadog Edge, measure latency before/after via practical benchmarks, adjust distributed caching algorithms for scalable apps, test high-availability scenarios on video streaming cases, analyze real-time metrics, deploy resilient edge microservices, and generate a personalized monitoring dashboard as a deliverable, boosting your enterprise optimization skills.

Module 5Advanced Edge Computing Cases: Integration and Real Projects (Hybrid Cloud-Edge, Edge APIs)

Synthesize your skills by integrating Edge Computing into hybrid cloud-edge projects with edge API Gateways, develop a complete IoT application in teams on platforms like Google Anthos, simulate production deployments with error handling, evaluate ROI impact via bandwidth cost reduction calculations, present your final project with a live demo, and receive expert feedback for immediate certified enterprise application.

Evaluation method

  • Interactive quizzes at the end of each day to validate theoretical knowledge
  • Graded practical exercises on edge deployment and configuration
  • End-of-training project evaluated by Qualiopi experts

Learning method

  • Hands-on pedagogical methods with 70% practical work
  • Live demonstrations on real cloud infrastructures
  • Concrete case studies from leading Edge Computing companies
  • Post-training support with access to replays and resources

Methods, materials and delivery

The Training Edge Computing - Reduce Latency and Boost Apps 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 Edge Computing - Reduce Latency and Boost Apps 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 Edge Computing - Reduce Latency and Boost Apps 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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