AWS DevOps Engineering with AI
Master AWS DevOps Engineering with hands-on, real-time projects and AI-powered development tools. This course covers Linux, Git, GitHub, AWS Cloud, Docker, Kubernetes, Terraform, Jenkins, CI/CD pipelines, monitoring, and infrastructure automation. Gain practical corporate experience and become job-ready for high-demand DevOps …
Master AWS DevOps Engineering with hands-on, real-time projects and AI-powered development tools. This course covers Linux, Git, GitHub, AWS Cloud, Docker, Kubernetes, Terraform, Jenkins, CI/CD pipelines, monitoring, and infrastructure automation. Gain practical corporate experience and become job-ready for high-demand DevOps Engineer roles.
Build a Successful Career in Cloud & DevOps
The AWS DevOps Engineering with AI program is a comprehensive, industry-oriented training course designed for students, freshers, and IT professionals who want to build a career in Cloud Computing, DevOps, and Infrastructure Automation.
This program combines AWS Cloud Services, DevOps best practices, Infrastructure as Code (IaC), Containerization, CI/CD Pipelines, and AI-powered productivity tools to help you automate software delivery, manage cloud infrastructure, and deploy scalable applications efficiently.
Throughout the course, you’ll work on real-world projects, gain exposure to corporate development environments, and learn the latest tools used by leading IT companies.
- 17 Sections
- 121 Lessons
- 180 Hours
- DevOps FundamentalsUnderstand DevOps culture, Agile methodologies, and modern software delivery practices.7
- Linux Administration11
- Networking Fundamentals10
- Git & GitHub8
- AWS CloudCloud Computing AWS Global Infrastructure , IAM , EC2 , EBS , EFS , S3 , VPC , Route 53 , RDS , Load Balancers , Auto Scaling , CloudWatch , CloudTrail , Systems Manager , AWS Backup , KMS , Secrets Manager ,0
- Build & Package Management6
- Continuous Integration (CI)7
- Code Quality & Artifact Management6
- Containerization9
- Kubernetes11
- Infrastructure as Code (IaC)8
- Configuration Management7
- Monitoring & Logging7
- Security & DevSecOps7
- AI for DevOps EngineersLeverage AI to automate coding, deployment, troubleshooting, documentation, and cloud operations.12
- CI/CD End-to-End Pipeline• GitHub → Jenkins → Maven → SonarQube → Nexus → Docker → Kubernetes → AWS Deployment5
- Real-Time Projects0
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