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 Fundamentals7 ItemsUnderstand DevOps culture, Agile methodologies, and modern software delivery practices.
- Linux Administration11 Items
- Networking Fundamentals10 Items
- Git & GitHub8 Items
- AWS Cloud0 ItemsCloud 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 ,
- Build & Package Management6 Items
- Continuous Integration (CI)7 Items
- Code Quality & Artifact Management6 Items
- Containerization9 Items
- Kubernetes11 Items
- Infrastructure as Code (IaC)8 Items
- Configuration Management7 Items
- Monitoring & Logging7 Items
- Security & DevSecOps7 Items
- AI for DevOps Engineers12 ItemsLeverage AI to automate coding, deployment, troubleshooting, documentation, and cloud operations.
- CI/CD End-to-End Pipeline5 Items• GitHub → Jenkins → Maven → SonarQube → Nexus → Docker → Kubernetes → AWS Deployment
- Real-Time Projects0 Items
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