Internship - Sprint - Cloud-DevOps-Technologies
in Internship ProgramAbout this course
What You Will Learn?
- Core Concepts.
- Infrastructure as a Service (IaaS).
- Platform as a Service (PaaS).
- Software as a Service (SaaS).
- DevOps Principles.
- Containerization with Docker.
- Kubernetes.
- Server less Computing.
- Cloud Security.
Benefits of Participation:
- Certificate of Completion: Showcase your new skills with an official internship certificate.
- Real-world Experience: Build your portfolio with two Capstone Projects worth INR 6000.
- Career Boost: Leverage 20+ professional Resume Templates to land your dream job.
- Cloud Credits: Explore the power of Microsoft Azure with your INR 8400 cloud voucher.
This 14-hour intensive internship program provides a comprehensive understanding of cloud computing and DevOps practices. Participants will learn to design, deploy, and manage scalable and reliable cloud-based applications, mastering technologies like AWS, Azure, Kubernetes, and CI/CD pipelines.
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1. Definition, benefits, and use cases.
2. Historical perspective and evolution
Key characteristics (on-demand self-service, broad network access,
resource pooling, rapid elasticity, measured service).
1. Infrastructure as a Service (IaaS).
2. Virtualization, compute, storage, and networking
Examples: Azure Virtual Machines.
1. Application development and deployment platforms
Examples: Azure App Service.
1. Cloud-based software applications
Examples: Google Workspace, Microsoft 365, Salesforce.
1. Public Cloud.
2. Private Cloud.
3. Hybrid Cloud.
4. Multi-cloud.
1. Security threats and vulnerabilities.
2. Data protection and privacy.
3. Access control and identity management.
4. Encryption and key management.
1. Virtual networks and subnets.
2. Load balancing and content delivery networks (CDNs).
3. Network security groups and firewalls.
1. Object storage (S3).
2. Block storage (EBS).
3. File storage (NFS).
1. Cost estimation and budgeting.
2. Rightsizing instances.
3. Reserved instances and spot instances.
4. Cost monitoring and analysis.