In modern cloud-native architecture, container orchestration is essential for deploying, managing, and scaling applications efficiently. Google Kubernetes Engine (GKE) provides a fully managed Kubernetes service on GCP, allowing engineers to run containerized applications without worrying about the underlying infrastructure.
Day 10 – Kubernetes with Google Kubernetes Engine (GKE) Step-by-Step Read More »
Introduction Azure Storage is the foundation for building scalable, secure, and high-performance cloud applications. Whether you are storing unstructured files, structured tables, messages for processing, or shared files, Azure Storage offers tailored services. At curiositytech.in, we emphasize learning by hands-on experimentation, allowing learners to explore storage options in real projects. This blog covers all mandatory
Day 6 – Introduction to Azure Storage (Blob, File, Queue, Table) Read More »
Imagine an enterprise with customer apps running on AWS, a data lake on Azure, and AI models hosted in GCP. Customers expect real-time responses, yet the infrastructure spans three different clouds. How do you stitch these pieces together so they behave like one unified system? This is where multi-cloud networking comes in. With 20 years
Day 6 – Networking in Multi-Cloud: Strategies for Seamless Connectivity Read More »
Introduction In 2025, cloud platforms have become indispensable for ML engineers. They provide scalable infrastructure, prebuilt ML services, automated workflows, and integration with data pipelines. At curiositytech.in (Nagpur, Wardha Road, Gajanan Nagar), learners gain hands-on exposure to cloud ML platforms like AWS SageMaker, Azure ML, and Google Vertex AI, which enable end-to-end machine learning development—from
Day 18 – Cloud ML Platforms: AWS SageMaker, Azure ML, Google Vertex AI Read More »
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 »
Introduction The Google Cloud Engineer role has emerged as one of the most sought-after positions in cloud computing, requiring expertise in cloud architecture, deployment, automation, networking, security, and data analytics. In 2025, the demand for certified and skilled Google Cloud Engineers continues to grow, driven by enterprise adoption of multi-cloud, AI/ML, and serverless architectures. At Curiosity
Day 25 – Career Roadmap: Becoming a Google Cloud Engineer Read More »