Certificate in DevOps Observability with AI

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The Certificate in DevOps Observability with AI is a comprehensive course designed to equip learners with essential skills in modern observability techniques and AI-powered tools. This course emphasizes the importance of monitoring system performance, detecting anomalies, and optimizing workflows to ensure seamless software delivery.

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With the increasing demand for DevOps professionals who can effectively leverage AI and machine learning to improve system efficiency, this course provides learners with a competitive edge in the job market. Learners will gain hands-on experience with popular observability tools such as Prometheus, Grafana, and ELK stack, as well as AI-powered tools like TensorFlow and Kubeflow. By completing this course, learners will be able to demonstrate their expertise in DevOps observability and AI, making them highly attractive to potential employers. This course is an excellent opportunity for those looking to advance their careers in DevOps, software engineering, and site reliability engineering.

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่ฏพ็จ‹่ฏฆๆƒ…

โ€ข Introduction to DevOps Observability with AI
โ€ข Understanding Observability in DevOps
โ€ข Importance of Monitoring in DevOps Observability
โ€ข Log Analysis and Log Management Tools
โ€ข Metrics and Tracing in DevOps Observability
โ€ข AI and Machine Learning in DevOps Observability
โ€ข DevOps Observability Best Practices
โ€ข Real-world Use Cases of DevOps Observability with AI
โ€ข DevOps Observability Tools and Techniques
โ€ข Continuous Improvement in DevOps Observability

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
CERTIFICATE IN DEVOPS OBSERVABILITY WITH AI
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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