Cloud + AI
Cloud + AI Infrastructure
AWS, Azure and GCP with serverless, Kubernetes and AI infrastructure.
14 weeks Beginner to Advanced
Online LiveRecorded Course
DevOps + AI (AIOps) Course Online
Become an AI-assisted DevOps engineer. Learn Linux, Git, GitHub / GitLab, Jenkins, Docker, Kubernetes, Terraform and AWS / Azure / GCP, then AIOps: log analysis, anomaly detection, incident analysis, alert correlation, AI troubleshooting and DevOps agents.
16 weeks Beginner to AdvancedOnline LiveRecorded Course
What You Will Learn
Module 1
Foundations
- Linux
- Git
- Networking basics
Module 2
CI/CD
- Jenkins
- GitHub / GitLab pipelines
Module 3
Containers
- Docker
- Kubernetes
Module 4
Cloud & IaC
- AWS / Azure / GCP
- Terraform
Module 5
AI Layer: AIOps
- Log analysis
- Anomaly detection
- Incident analysis
- DevOps 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
- Automate build and deployment pipelines
- Run apps on Kubernetes
- Use AI for operations and troubleshooting
Free Tutorials to Get Started
FAQs
Does the course prepare for certifications?
Yes, topics align with popular AWS, Azure and Kubernetes certifications.