Security Engineering in the Cloud Training by Tonex
The Security Engineering in the Cloud course is designed to equip cloud engineers, architects, and security professionals with the knowledge and skills required to design, implement, and manage secure cloud environments effectively. This course covers best practices, tools, and techniques for addressing security challenges specific to cloud computing, including identity and access management, data protection, network security, and compliance. Participants will learn through a combination of lectures, hands-on exercises, case studies, and practical demonstrations, preparing them to implement robust security measures in cloud environments.
Learning Objectives:
- Understand the security implications of cloud computing and the shared responsibility model.
- Learn best practices for securing cloud infrastructure, platforms, and services.
- Gain proficiency in identity and access management (IAM) in the cloud.
- Develop skills in implementing data encryption, integrity, and privacy controls in the cloud.
- Master techniques for securing cloud networks, containers, and serverless architectures.
- Learn how to monitor, detect, and respond to security threats and incidents in the cloud.
- Understand compliance requirements and best practices for cloud security governance.
Audience: This course is suitable for cloud engineers, cloud architects, security engineers, IT professionals, and anyone responsible for designing, implementing, or managing cloud-based solutions.
Course Modules:
Day 1: Introduction to Cloud Security
- Overview of cloud computing and the shared responsibility model
- Cloud security threats and challenges
- Cloud security best practices and principles
Day 2: Securing Cloud Environments
- Identity and access management (IAM) in the cloud
- Data security and encryption in the cloud
- Network security in cloud environments
- Monitoring, detection, and incident response in the cloud
- Compliance and governance in cloud security
Delivery Format:
- Instructor-led training with a mix of presentations, hands-on exercises, case studies, and practical demonstrations.
- Interactive discussions and Q&A sessions to facilitate learning and understanding.
- Hands-on labs using cloud platforms such as AWS, Azure, or Google Cloud Platform to reinforce concepts and techniques.
Prerequisites:
- Participants should have a basic understanding of cloud computing concepts and technologies.
- Familiarity with at least one cloud platform (AWS, Azure, Google Cloud Platform) is beneficial but not required.
- Access to a computer with internet connectivity and relevant software tools for hands-on exercises during the training.