Google Cloud Security Engineer Program
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Program
Google Cloud Security Engineer Program
Build the advanced-level Google Cloud skills and practical experience employer is looking for. Skillup in Kubernetes Engine, BigQuery, IAM, KMS, Compute Engine, VPC, Security Scanner,DLP API, Cloud logging for a highly rewarding career
Blended
Intermediate
The Google Cloud Security Program offers a comprehensive curriculum designed to equip professionals with essential skills in cloud security within the Google Cloud Platform (GCP). The program covers key areas such as infrastructure fundamentals, security principles, and networking functionalities. Participants will gain practical experience in deploying virtual machines, managing networks, and implementing security measures to safeguard cloud infrastructure effectively.
One crucial aspect of the program is the focus on foundational Google Cloud security principles. Participants will delve into critical concepts like Cloud IAM, service accounts, user authentication, and cryptographic key management using Cloud KMS. By mastering these fundamental security practices, individuals can ensure secure access control, data integrity, and confidentiality within the Google Cloud environment.
Moreover, the program emphasizes network administration and infrastructure security within Google Cloud. Participants will learn to configure network settings, establish secure communication between networks using VPC network peering, and implement advanced security measures like Private Google Access and Cloud NAT. By acquiring skills in managing complex network architectures and securing cloud infrastructure effectively, professionals can enhance their capabilities in designing robust and scalable networks on Google Cloud.
The program comprises of seven purposely designed courses that take you on a carefully defined learning journey. If you are thinking about taking the course separately, it is worth noting that it is part of the Google Cloud Security Engineer Program. So, you may want to consider enrolling for this program rather than just enrolling for one course at a time.
It is a self-paced program, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. It is anticipated that it will take about 41 hours to complete. However, as long as the program is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exams questions.
Once you have successfully completed the course, you will earn your Certificate of Completion.
- Infrastructure Management: Efficiently manage Cloud Shell and gcloud for streamlined cloud operations
- Cloud Security Expertise: Customize IAM roles to fit organizational requirements and manage service accounts effectively
- Networking Proficiency: Establish VPC networks, control access with firewall rules, and design secure network infrastructures.
- Containerization and Orchestration: Develop containerization and orchestration skills using Kubernetes for efficient application deployment.
- Infrastructure as Code: Deploy infrastructure as code using Terraform for automated and scalable infrastructure management.
- Cloud Security Best Practices: Utilize Cloud Key Management Service (KMS) for managing cryptographic keys securely.
- Content Caching and Security Strategies: Apply content caching strategies and security measures to enhance network performance and data protection.
- Network Optimization: Optimize network spend with Network Tiers and secure cloud networks with VM-Series and Cloud IDS.
- Application Security Enhancement: Utilize rate limiting strategies with Cloud Armor and enhance web application security using best practices.
- Monitoring and Analysis: Understand Cloud Logging, analyze BigQuery usage, set up Cloud Monitoring, and create logs-based metrics alerts for effective monitoring of cloud resources.
- Cloud enthusiasts, administrators, and DevOps engineers transitioning to Google Cloud.
- Individuals interested in foundational Google Cloud infrastructure concepts.
- Cloud administrators, security analysts, and professionals preparing for cloud security certifications.
- IT professionals, network administrators/engineers, and students aiming for cloud computing careers.
Required:
- Basic understanding of cloud computing concepts.
- Familiarity with command-line interfaces.
- Knowledge of fundamental networking principles.
Recommended:
- Familiarity with Google Cloud Platform (GCP) services and navigation.
- Proficiency in using the command line interface (CLI).
- Basic knowledge of networking concepts like IP addressing and routing.