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Training Container Image Scanning - Secure Your DevSecOps Deployments

Ref: WMW763
10 people max.
7000€ 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 advanced container image scanning techniques for professional, certifiable security
  • Develop skills in detecting zero-day vulnerabilities in enterprise environments
  • Implement scanning tools integrated into DevSecOps workflows
  • Design automated remediation policies for container images
  • Optimize large-scale scanning performance in production
  • Generate and analyze SBOMs for regulatory compliance in enterprises
  • Deploy multi-tool scanning solutions for comprehensive coverage

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 1Container Image Scanning: Advanced Vulnerabilities and Critical CVEs (Trivy, Grype)

In-depth analysis of attack vectors in Docker and OCI images, expert hands-on with Trivy and Grype for scanning private registries, exercises on real images infected with recent CVEs, generation of detailed reports with CVSS scoring, simulation of container breaches to identify zero-day flaws, production of a first custom vulnerability dashboard.

Module 2Enterprise Container Image Scanning Tools: Snyk, Anchore, Clair (API Integration)

Advanced configuration of Snyk and Anchore for scanning as-a-service, leveraging APIs for automated scans in CI/CD, practical cases on vulnerable Kubernetes clusters, comparison of multi-tool results with false positive metrics, optimization of blocking policies for secure deployments, implementation of a real-time scanning PoC on Harbor registry.

Module 3SBOM and Container Image Scanning: Generation, Analysis, Compliance (Syft, CycloneDX)

SBOM generation with Syft and CycloneDX for complete dependency traceability, correlation with vulnerability scans using tools like Dependency-Track, exercises on SLSA and SPDX regulatory audits, analysis of business impacts from obsolete layers, automation of SBOM-to-remediation workflows, delivery of a GitOps-integrated SBOM template.

Module 4Integrating Container Image Scanning in CI/CD: GitHub Actions, Jenkins, GitLab (hooks)

Implementation of security gates in CI/CD pipelines with pre-build and post-push scanning, configuration of Tekton and ArgoCD for Kubernetes, tests on prod-like scenarios with multi-arch images, performance tuning for large-scale scans (thousands of images), development of custom scripts for Slack/Teams alerts, deployment of a secure DevSecOps red thread pipeline.

Module 5Best Practices and Remediation for Container Image Scanning: Auto-healing, Monitoring (Prometheus)

Development of automated remediation strategies with OPA/Gatekeeper, continuous monitoring of security drifts via Falco and Prometheus, war stories from real breaches (Capital One, Codecov), optimization of scanning costs in cloud (AWS ECR, Azure ACR), peer-to-peer code review on personal projects, final certification with a portfolio of enterprise-deployable solutions.

Evaluation method

  • Expert MCQ on CVEs and SBOM at the end of the training
  • Practical evaluation through implementation of a scanning pipeline
  • Defense of the DevSecOps red thread project before the certified trainer

Learning method

  • Courses led by an active DevSecOps expert trainer
  • Practical exercises on real enterprise cases and container breaches
  • Progressive red thread project for large-scale scanning
  • Complete course materials and open-source resources provided to each participant

Methods, materials and delivery

The Training Container Image Scanning - Secure Your DevSecOps Deployments 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 Container Image Scanning - Secure Your DevSecOps Deployments 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 Container Image Scanning - Secure Your DevSecOps Deployments 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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