Saturday, April 19, 2025

Camera len protector: Guide and Benefits

https://www.cloudtechgyani.com/2023/06/camera-lens-protector-importance-and.html

Discover The Double Curtain Rod Benefit with Stylish

https://www.cloudtechgyani.com/2023/06/the-double-curtain-rod-benefit.html

Exploring the Versatility of Keychains : Unlocking the Benefits

https://www.cloudtechgyani.com/2023/06/exploring-versatility-of-keychains.html

The Benefits of Candle Warmers : Illuminate and Inspire

https://www.cloudtechgyani.com/2023/06/introduction-imagine-that-you-are.html

Certification

Here are link to get Cloud certification Details

Below Pratice Questions :

AWS Certified Developer
AWS SAA-C03 Exam: 300 Practice Questions This video is a part of a series that provides and explains hundreds of practice questions for the AWS Certified Solutions Architect - Associate exam
Explains hundreds of practice questions for the AWS Certified Solutions Architect - Profesional exam

https://www.youtube.com/watch?v=GVWBT_n6fI8

GCP Professional Cloud Engineer Certification Practice questions, Link below

https://www.cloudtechgyani.com/2025/08/gcp-professional-cloud-engineer.html

Here's a below detailed look at important IBM services:

Integration of External secret operator with IBM Secret Manager

Understanding IBM Redis: A Comprehensive Technical Overview

IBM Cloud Event Streams: A Comprehensive Overview

IBM Cloud Code Engine : Run a Container

A generative AI roadmap for beginners should start with understanding the basics of AI and machine learning, mastering Python programming, and delving into data science and deep learning. Then, explore generative AI concepts like generative models, popular frameworks, and tools. Finally, engage in hands-on projects, stay updated with research, and consider ethical implications.

Here's a more detailed blog on below different topic on Generative AI :

Generative AI : Learning Roadmap

The Role of Generative AI in Software Architecture

AWS Bedrock Generative AI

Vector Database - Guide for AI Powered Application

GCP : Cloud Platform

Here's a more detailed look at some of below these services:

GCP Platform

Compute & Infrastructure:

Compute Engine: Provides virtual machines (VMs) for running applications and workloads.
Google Kubernetes Engine (GKE): A managed Kubernetes service for deploying and managing containerized applications.
Cloud Run: A serverless compute platform for deploying and running containerized applications.

Storage

Cloud Storage: Offers scalable object storage for storing and accessing data.
Persistent Disk: Provides network storage devices that can be used by virtual machines.

Databases

Cloud SQL: A fully managed database service for various database engines like MySQL, PostgreSQL, and SQL Server.
Cloud Datastore: A highly scalable NoSQL database service.
Cloud Bigtable: A service for managing large-scale structured data.

Google FireStore : fully managed, serverless, NoSQL document database designed to store, sync, and query data for web, mobile, and server applications

Data Analytics & Machine Learning

BigQuery: A serverless, highly scalable, and cost-effective cloud data warehouse.
Dataflow: A managed service for real-time and batch data processing.
Vertex AI: A unified machine learning platform for model development and deployment.
BigQuery ML: Allows you to build machine learning models using SQL queries.

Dialogflow: A conversational AI platform for building chatbots and voice assistants.

Other Notable Services:

App Engine: A platform-as-a-service (PaaS) for building and deploying web applications.
Cloud Functions: A serverless compute service for running individual functions.
Cloud Load Balancing: A software-defined, managed service for distributing traffic across resources.
Cloud CDN: A content delivery network for serving content quickly and efficiently.