מה צריך לדעת לפני
שתתחיל
מתחיל 4 June 2026 03:19
נגמר 4 June 2026
00
ימים
00
שעות
00
דקות
00
שניות
25 minutes
שדרוג אופציונלי זמין
Not Specified
התקדמות בקצב שלך
Free Trial Available
שדרוג אופציונלי זמין
סקירה כללית
This course, Explore DevOps AI Tools, is a glimpse into ways you can leverage AI for automation. First, you'll get help creating infrastructure to scale a web app.
Then, to validate the bottlenecks, you'll explore how to use AI to create scripts to validate performance. Finally, you'll see how AI can be used to categorize logs and flag suspicious behavior.
By the end of this course, you'll be ready to apply AI to real challenges you encounter.
סילבוס
- Introduction to DevOps and AI Integration
- AI in Infrastructure Automation
- AI-driven Performance Validation
- AI in Monitoring and Security
- Case Studies and Real-world Applications
- Conclusion and Future of AI in DevOps
Overview of DevOps principles
Role of AI in DevOps
Introduction to AI-driven infrastructure tools
Creating scalable infrastructure for web applications
Automating infrastructure management
Identifying performance bottlenecks
Writing AI-enabled scripts for performance testing
Analyzing performance data with AI tools
Introduction to AI for log management
Categorizing logs using AI techniques
Implementing AI to flag anomalies and suspicious activities
Review of industry use cases leveraging AI in DevOps
Practical exercises on applying AI tools to DevOps challenges
Recap of key learning points
Discussion on emerging AI technologies in DevOps
נלמד על ידי
Wes Higbee
נושאים
Computer Science