🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
AWSSECESS

AWS Security Essentials

This course covers fundamental Amazon Web Services (AWS) security concepts, including AWS access control, data encryption methods, and how to secure network access to your AWS infrastructure. Based on the AWS Shared Responsibility Model, you learn your responsibilities related to implementing security in the AWS Cloud and which security-oriented services are available to you. You also learn why and how the security services help meet the security needs of your organization.

AWS
✓ Official training AWSLevel Fundamentals⏱️ 1 day (7h)

What you will learn

  • Identify security benefits and responsibilities of using the AWS Cloud.
  • Describe the access control and management features of AWS.
  • Explain the available methods for encrypting data at rest and in transit.
  • Describe how to secure network access to your AWS resources.
  • Determine which AWS services can be used for monitoring and incident response.

Prerequisites

  • Working knowledge of IT security practices and infrastructure concepts and familiarity with cloud computing concepts.

Target audience

  • Security IT business-level professionals interested in cloud security practices, Security professionals with minimal to no working knowledge of AWS

Training Program

7 modules to master the fundamentals

Topics covered
  • →AWS Well-Architected Framework: Security Pillar
Topics covered
  • →Shared responsibility model
  • →AWS Global Infrastructure
  • →Compliance and governance
Topics covered
  • →Identity and access management
  • →Data access and protection essentials
Activities

Lab 1: Introduction to Security Policies

Topics covered
  • →Protecting your network infrastructure
  • →Edge Security
  • →DDoS Mitigation
  • →Protecting compute resources
Activities

Lab 2: Securing VPC Resources with Security Groups

Topics covered
  • →Monitoring and detective controls
  • →Incident response essentials
Topics covered
  • →Course review

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This course explains how to use Model Armor to protect AI applications, specifically large language models (LLMs). The curriculum covers Model Armor's architecture and its role in mitigating threats like malicious URLs, prompt injection, jailbreaking, sensitive data leaks, and improper output handling. Practical skills include defining floor settings, configuring templates, and enabling various detection types. You'll also explore sample audit logs to find details about flagged violations.

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Upcoming sessions

April 10, 2026
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July 29, 2026
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October 9, 2026
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December 1, 2026
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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

790€ excl. VAT

per learner

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