Cloud Monitoring and Logging Tools

This course delves into the essential tools and methodologies for effective cloud monitoring and logging, tailored specifically for applications in AI and Data Science. Participants will engage in a project-based learning environment, where they will explore various cloud platforms and their monitoring capabilities. The curriculum is designed to equip learners with practical skills that enhance their ability to analyze system performance, troubleshoot issues, and optimize resource usage in cloud environments.
Throughout the course, students will work on hands-on projects that culminate in a final capstone project, allowing them to apply their knowledge in real-world scenarios. By the end of the program, participants will not only gain a comprehensive understanding of cloud monitoring and logging tools but also have the opportunity to publish their findings and projects in Cademix Magazine, showcasing their expertise to a broader audience.
Introduction to Cloud Computing Concepts
Overview of Cloud Monitoring Tools (e.g., AWS CloudWatch, Azure Monitor)
Logging Mechanisms in Cloud Environments
Performance Metrics and Key Performance Indicators (KPIs)
Setting Up Alerts and Notifications
Data Visualization Techniques for Monitoring
Troubleshooting Common Cloud Issues
Integrating Monitoring Tools with AI Workflows
Security Considerations in Cloud Monitoring
Final Project: Implementing a Comprehensive Monitoring Solution

To develop proficiency in cloud monitoring and logging tools, enabling participants to effectively manage and optimize AI applications in cloud environments.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of cloud computing and familiarity with data science concepts.