Top 10 AI Blogs Every Learner Should Follow
Learning AI is a continuous process. These 10 blogs offer a balance of global research, practical tutorials, and regional learning opportunities. By following them regularly, you will not only improve your technical skills but also gain the ability to apply AI in real-world scenarios.
How to Build AI Agents in Google Cloud Using Vertex AI and ADK
Learn how to create and deploy AI agents on Google Cloud using Vertex AI, Agent Development Kit (ADK), and Agent Builder. This guide explains the difference between chatbots and AI agents, setting up a GCP project, building an agent, adding tools, testing, deployment, and monitoring.
Understanding MCP (Model Context Protocol): How AI Handles Context Effectively
Explore how Model Context Protocol (MCP) helps AI applications manage context, memory, and multi-step tasks. Learn its key concepts, working process, practical example, and applications in AI assistants and intelligent agents.
Getting Started with Spring AI: Connecting Java Applications with LLMs
Learn how Java and Spring Boot can be used to build AI-powered applications by connecting Large Language Models (LLMs) such as ChatGPT, Claude, and DeepSeek through Spring AI and REST APIs.
AI is set to create new opportunities in the 2025.
Artificial Intelligence is transforming the workplace by automating repetitive tasks while creating new career opportunities. Explore the jobs emerging through AI, roles at risk, and the essential skills professionals need to stay relevant.
YOLO12: The Next Generation of Real-Time Object Detection
Explore YOLO12, an attention-centric computer vision model designed to improve object detection accuracy while maintaining real-time performance. Learn about its supported tasks, key architectural improvements, performance, usage, and hardware requirements.