Practical DevOps AI

Practical DevOps AI

Learn · Build · Deploy

Practical DevOps AI is a hands-on learning path designed to bridge DevOps engineering with real-world AI workflows.

This course focuses on doing, not just theory — helping you design, automate, deploy, and scale AI-powered applications using modern DevOps practices.

🔹 What You’ll Learn

• DevOps fundamentals tailored for AI/ML workloads
• CI/CD pipelines for AI models and applications
• Containerization with Docker & orchestration using Kubernetes
• Infrastructure as Code (IaC) for scalable deployments
• Model deployment, monitoring, and versioning
• Cloud-native AI workflows (AWS/Azure/GCP concepts)
• Automation, logging, and performance optimization

🔹 What You’ll Build

• AI-ready CI/CD pipelines
• Containerized AI applications
• Automated cloud deployments
• Monitoring and rollback-ready production systems

🔹 Who This Is For

• DevOps beginners & practitioners
• AI/ML students wanting real deployment skills
• Software engineers moving toward MLOps
• Anyone who wants job-ready DevOps + AI skills

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