AICloud 109 – Multi-Cloud AI Architectures

(Weeks 19–21 | Lec 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Hrs | 1.2 Credit Hrs)
Students will:

• Design multi-cloud AI workflows across AWS, Azure, and GCP.
• Implement cross-cloud pipelines and hybrid cloud strategies.
• Ensure redundancy, security, and monitoring across environments.
  Prerequisite: AICloud 108 – GenAI Applications on Cloud
  Tools: Terraform, Kubernetes, Prometheus, Grafana

AICloud 110 – Capstone Project and On-the-Job Training
(Weeks 22–28 | Lec 0 Hrs / Lab 0 Hrs / Ext 84 Hrs | 84 Total Hrs | 3.7 Credit Hrs)
Students will:

• Deliver a full cloud-based AI/ML project.
• Develop a multi-cloud AI system integrating real-world requirements.
• Prepare and present deployment documentation and monitoring strategies.
  Prerequisite: AICloud 109 – Multi-Cloud AI Architectures