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Training Amazon Bedrock - Securing Professional AI Systems

Ref: XAV772
10 people max.
$6,600 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Onsite

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Learning objectives

  • Master Amazon Bedrock to strengthen threat detection in professional environments
  • Develop advanced skills in integrating AI models into enterprise security systems
  • Design secure architectures combining Amazon Bedrock, SIEM, and EDR solutions
  • Implement optimized hardening strategies using Amazon Bedrock tools
  • Optimize incident response processes through certified training on Amazon Bedrock
  • Deploy concrete use cases for protecting data and infrastructure

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 1Topic: Introduction to Amazon Bedrock for Security (models, foundations, initial SIEM use cases)

Participants discover Amazon Bedrock in direct connection with existing SIEM environments. They explore available models, perform practical exercises connecting to log streams, and identify opportunities to enrich alerts. Real-world enterprise cases illustrate the value of AI for security event correlation.

Module 2Topic: Amazon Bedrock and Advanced EDR (behavioral detection, endpoint integration)

This day deepens the use of Amazon Bedrock to enhance EDR solutions. Learners configure behavioral analyses, test endpoint detection scenarios, and produce deliverables in the form of AI-enriched playbooks. Practical workshops help measure the reduction of false positives.

Module 3Topic: System Hardening with Amazon Bedrock (automated recommendations, compliance)

Professionals learn to leverage Amazon Bedrock to generate hardening recommendations. They analyze real configurations, automate security audits, and create reports aligned with enterprise standards. Concrete exercises on cloud and on-premise infrastructures complete the training.

Module 4Topic: Amazon Bedrock for Incident Response (automation, advanced correlation)

The day focuses on automating incident response using Amazon Bedrock. Participants integrate SIEM and EDR data streams, develop AI-assisted investigation scripts, and validate rapid remediation scenarios. Attack simulations help evaluate process effectiveness.

Module 5Topic: Final Amazon Bedrock Project (complete secure architecture, presentation)

Learners design a complete security architecture integrating Amazon Bedrock, SIEM, EDR, and hardening. They complete a practical project, document technical choices, and present their deliverables to the group. This day consolidates all skills acquired during the training.

Evaluation method

  • Daily knowledge validation quizzes at the end of each day
  • Practical exercises based on real-world enterprise scenarios
  • Final project presentation and defense before peers

Learning method

  • Hands-on workshops using the AWS console and Amazon Bedrock
  • Real-world SIEM log analysis and EDR detection exercises
  • Creation of AI-enriched playbooks and automated hardening scripts
  • Collaborative work on complete security architectures

Methods, materials and delivery

The Training Amazon Bedrock - Securing Professional AI Systems program is delivered onsite or remote (blended-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 Bedrock - Securing Professional AI Systems 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 Bedrock - Securing Professional AI Systems 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

Registration is possible up to 48 business hours before the start of training. All our programs are eligible for corporate training budgets and employer-funded plans.

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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