Project 9: Cloud Cost Optimization and Automation Strategy
Implement cloud cost optimization techniques to reduce expenses and improve efficiency. Automate resource management, including start/stop schedules and usage-based scaling, to achieve maximum savings.
Project 10: Monitoring & Observability for Modern Cloud Infrastructure
Ensure system reliability through proactive monitoring, alerting, and blue-green deployment strategies. Learn to build an automated observability stack for production environments.
Project 11: MLOps for DevOps – Streamlining AI/ML Model Lifecycle
Bridge the gap between DevOps and MLOps by integrating AI/ML workflows into your automation pipelines. Implement MLOps best practices for continuous training, testing, and deployment using SageMaker.
Project 12: End-to-End AI Model Deployment with Python & Containers
Build and deploy a complete AI model from scratch – train it using Python, containerize it, and deploy it to scalable infrastructure for real-world inference.
Reviews
There are no reviews yet.