Cloud Engineer AWS

Day 18 – Cloud AI Platforms: Google Vertex AI, AWS AI, Azure Cognitive Services

Leave a Comment / Cloud Engineer AWS /

Introduction With the explosion of AI adoption, cloud AI platforms have become essential for deploying, training, and managing models at scale. They provide infrastructure, pre-built models, and deployment tools, allowing engineers to focus on building solutions rather than managing hardware. At curiositytech.in learners in Nagpur explore Google Vertex AI, AWS AI, and Azure Cognitive Services, […]

Day 18 – Cloud AI Platforms: Google Vertex AI, AWS AI, Azure Cognitive Services Read More »

, , , , , , ,

Day 20 – Secrets Management with HashiCorp Vault & AWS KMS

Leave a Comment / Cloud Engineer AWS /

In modern DevOps and cloud-native environments, managing secrets securely is critical. Secrets include API keys, database credentials, certificates, and encryption keys, which, if exposed, can compromise entire systems. At CuriosityTech.in, we train DevOps engineers to implement robust secrets management solutions using HashiCorp Vault, AWS Key Management Service (KMS), and other industry-standard tools. What is Secrets

Day 20 – Secrets Management with HashiCorp Vault & AWS KMS Read More »

, , , , ,

Day 16 – Serverless in Multi-Cloud: Combining AWS Lambda, Azure Functions & GCP Functions

Leave a Comment / Cloud Engineer AWS /

Introduction Imagine this: A fintech company handles millions of micro-transactions daily. Their engineers don’t want to manage servers. They want functions that scale instantly, cost only when used, and integrate across AWS, Azure, and GCP. That’s the promise of serverless computing. In single-cloud, serverless is straightforward. But in multi-cloud environments, things get exciting: ●      AWS

Day 16 – Serverless in Multi-Cloud: Combining AWS Lambda, Azure Functions & GCP Functions Read More »

, ,

Day 16 – Introduction to AWS DevOps Tools: CodePipeline & CodeDeploy

Leave a Comment / Cloud Engineer AWS /

On Day 16, we explore AWS DevOps services, specifically CodePipeline and CodeDeploy, which allow engineers to implement continuous integration (CI) and continuous deployment (CD). At CuriosityTech.in, learners understand that DevOps is not just automation—it’s about reliability, repeatability, and collaboration. Mastery of CI/CD pipelines is essential for scalable, error-free cloud application deployment. 1. What is AWS

Day 16 – Introduction to AWS DevOps Tools: CodePipeline & CodeDeploy Read More »

, , ,

Day 12 – Hands-On Project: Deploying a Web App Across AWS & GCP

Leave a Comment / Cloud Engineer AWS /

Introduction Theory builds knowledge, but projects build expertise. In the world of multi-cloud engineering, nothing teaches better than deploying a real-world workload across two different providers. In this lab, we’ll build and deploy a simple web application split between AWS and Google Cloud Platform (GCP): ●      Frontend: Hosted on AWS (using S3 + CloudFront). ●     

Day 12 – Hands-On Project: Deploying a Web App Across AWS & GCP Read More »

, , , ,

Day 8 – AWS Networking Basics: VPC, Subnets & Security Groups Explained

Leave a Comment / Cloud Computing, Cloud Engineer AWS /

Networking forms the backbone of any cloud infrastructure. On Day 8, we explore AWS Virtual Private Cloud (VPC), subnets, route tables, and security groups—the core components that define how resources communicate and remain secure. At CuriosityTech.in, we emphasize that mastering networking is crucial for cloud engineers. Misconfigured networks can lead to downtime, security breaches, and

Day 8 – AWS Networking Basics: VPC, Subnets & Security Groups Explained Read More »

, , , ,