Cloud + AI
DevOps + AI (AIOps)
Linux, Git, CI/CD, Docker, Kubernetes, Terraform, cloud and AIOps.
16 weeks Beginner to Advanced
Online LiveRecorded Course
Cloud + AI Infrastructure Course Online
Where does software actually run? Learn compute, storage, networking, IAM, containers, Kubernetes, serverless, monitoring and security on AWS, Azure and Google Cloud, then deploy and operate LLM applications, RAG systems, vector databases and AI agents.
14 weeks Beginner to AdvancedOnline LiveRecorded Course
What You Will Learn
Module 1
Cloud Fundamentals
- Compute
- Storage
- Networking
- IAM
Module 2
Containers & Serverless
- Containers
- Kubernetes
- Serverless
Module 3
Operations
- Monitoring
- Security
- Cost management
Module 4
AI Layer
- Deploying LLM applications
- RAG systems
- Vector databases
- AI APIs and agents
What You Practice
- Hands-on labs on Linux, Docker and Kubernetes
- Weekly CI/CD and IaC assignments
- Capstone: deploy and monitor a real app
- Mock interviews and resume review
How You Are Graded
- Assignments: 30%
- Mini projects: 30%
- Capstone project: 30%
- Attendance & participation: 10%
- Grades: A+ (90+), A (75+), B (60+), C (50+)
Track marks, rank and feedback live in your student portal.
Outcomes
- Design cloud infrastructure
- Deploy AI applications on the cloud
- Operate secure, monitored systems
Free Tutorials to Get Started
FAQs
Which cloud is covered?
AWS, Azure and Google Cloud fundamentals, with deeper hands-on work on AWS and Azure.