• a-beginners-guide-to-the-machine-learning-pipeline-on-gcp

    A Beginner’s Guide to the Machine Learning Pipeline on GCP

    When people hear the term "machine learning," they often imagine complex math, advanced algorithms, or mysterious "AI magic" happening behind the scenes. In reality, machine learning on the cloud is far more practical and structured than it may sound. At its core, an ML pipeline is a series of [...]

  • Building a Cost-Aware RAG Application with Amazon Bedrock

    What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly,  AI-support subscriptions. Only pay per inquiry requests to your model provider,  and of course only costs you [...]

  • IAM Policy Autopilot Feature Image

    Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot

    Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and [...]

  • Claude code visuals

    The Year of the Agent: Anthropic’s Claude AI Models and Agents

      Looking back on the past year of 2025 coding with the help of artificial intelligence, we can safely say that it was the year of agents, especially pioneered by Anthropic with Claude Code. AI products have matured to offer highly reliable agents that can understand, navigate, and work [...]

  • Shifting Left with AI Key AWS Security Launches from reInvent 2025

    AI-Driven Cloud Security at AWS re:Invent 2025

    Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key [...]

  • Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

    Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an [...]

  • AWS Security Agent Context Aware Application Security Featured Image

    AWS Security Agent: Context-Aware Application Security

    The Problem: Security Can't Keep Up In the current engineering landscape of our industry, modern software teams are supposed to be built to be able to move fast. Continuous integration, automated deployments, and agile workflows have seen the rise of weekly and even daily releases to be the norm. [...]

  • LLM Text Summarizer Extension Tutorial Article

    Build a Model-Agnostic AI Text Summarizer Web Extension

    Browser extensions are a great way to bring AI directly into your everyday workflows. Instead of copying text into external tools and websites to be summarized, you can do it right on the page. In this tutorial, we'll build a lightweight, model-agnostic Chrome extension that summarizes selected text using [...]

  • AWS Lambda Managed Instances Serverless Simplicity with EC2 Control Featured Image

    AWS Lambda Managed Instances: Serverless Simplicity with EC2 Control

    AWS Lambda Managed Instances marks a significant evolution in serverless computing. For years, standard Lambda was the default for running code without infrastructure management, but it offered limited control over the underlying hardware. This new capability changes that by combining serverless simplicity with Amazon EC2 flexibility.   Announced at [...]

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    How to Generate Simple Document Embeddings with Python

    Document embeddings are one of the simplest ways to give machines an understanding of text, and in our previous article, Document Embeddings Explained: A Guide for Beginners, we explored how they turn entire documents into dense numerical vectors that capture meaning and context. Now that you understand what embeddings [...]

  • Diagram illustrating how Amazon Security Lake uses the Open Cybersecurity Schema Framework (OCSF) to standardize security data across AWS sources.

Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake

Amazon Security Lake is a managed service that collects and stores security logs from AWS services, on-premises systems, and supported third-party tools. It automatically converts all incoming data into Apache Parquet and formats everything using the OCSF schema. This setup allows different kinds of security logs to follow one consistent structure instead of having separate formats. With this unified approach, teams no longer need to decode or reorganize data manually because Security Lake handles [...]

  • Can Gemini 3 Replace My AI Toolkit - Featured Image

Can Gemini 3 Replace My AI Toolkit?

I've always approached AI with one mindset: use whatever tool gets the job done fastest and cleanest. I'm not loyal to one model, one company, or one ecosystem. I switch between tools depending on what my day looks like. In school, that might mean summarizing academic papers. At work or during self-study, that might mean debugging code or reviewing a cloud diagram. For daily life, it might just mean drafting an email or organizing [...]

  • AWS Vector Databases Explained: Semantic Search and RAG Systems

AWS Vector Databases Explained: Semantic Search and RAG Systems

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is [...]

  • self hosting judge0 step by step guide header

Self-Hosting Judge0: A Step-by-Step Guide Using Amazon EC2, Lambda, and S3

Judge0 is a powerful, open-source code execution system widely used by online coding platforms to run programs in secure environments. However, while it is often accessed as a third-party service, self-hosting Judge0 on AWS significantly grants you complete control over configuration and security. In fact, this level of ownership is essential for handling sensitive data or customizing language support. Moreover, self-hosting enables greater scalability, thereby allowing you to adapt the system as your requirements [...]

Shaping the Future of Student Technopreneurs in the Philippines through AWS Cloud Club PUP e:Novators

BGC, Philippines—November 21, 2025—Designed for working students, budding entrepreneurs, small startups, hackathon enthusiasts, and aspiring tech founders, the Alfred’s Engine Room: Crafting Tomorrow’s Ventures: Kick-off and Ideation 2025 marked the official launch of AWS Cloud Club PUP e:Novators, a community built to empower the next generation of bold visionaries and innovators. As the first innovation hub in AWS Cloud Clubs in the Philippines, it was the beginning of a movement through continuous learning, collaboration, [...]

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  • Red Ocean Vs. Blue Ocean

The Cash Cow + Investment Model: A Career Blueprint from Tutorials Dojo’s CEO

Imagine spending weeks building a course, only to watch it fail. That’s exactly what happened in 2019 to the founder of Tutorials Dojo, Jon Bonso. He had spent weeks building a React Native course. He recorded, edited, and re-recorded, hoping people would buy it. However when it finally launched, the effort didn’t match the reward. It was one of those career-defining moments where you ask yourself: “Am I even in the right industry?” Instead [...]

  • AWS Strands Agents SOPs AI Automation Workflow Natural Language

AWS Strands Agent SOPs – Your Natural Language Agentic AI Workflow Tool

If you're someone whose work involves AI automation or a developer, you'll know that Modern AI agents are powerful but notoriously difficult to guide with consistency. You put the same thing in twice, you get two drastically different results. There are two ways of driving Modern AI agents: Code defined workflows Fully model-driven agents Code-defined workflows offer precision but require heavy reengineering to update. Fully model-driven agents offer flexibility but can behave unpredictably. Agent [...]

  • What is Amazon Bedrock AgentCore

What is Amazon Bedrock AgentCore?

Imagine spending months building an AI agent that integrates seamlessly into your development environment. It employs tools, responds to inquiries, and completes duties precisely as planned. But moving it to production becomes a nightmare: suddenly, you are dealing with scale problems, security concerns, authentication systems, and API interfaces. What should have been a simple deployment becomes weeks of infrastructure labor unrelated to your agent's intelligence. This production gap is the bane of countless developers, [...]

  • Google Antigravity AI IDE LLM Agentic Development Fleet

A New Player in Town: Google Antigravity

On Wednesday, Google, the creators of Gemini, one of the top competitors of popular LLMs like ChatGPT (developed by OpenAI), recently launched their first AI agentic development IDE, known as Google Antigravity. Built for a wide range of customers, it is targeted to both professional developers working on large enterprise codebases and hobbyists vibe coding in their spare time. It provides installation support for Windows, MacOS, and Linux. In the rising wave of AI-powered [...]

  • Fully connected neural network diagram

Neural Networks and Images with Convolution

In the age of artificial intelligence, it is common to meet the term neural network, seeing diagrams of neurons connecting to other neurons, programmers training models, and so on. Here, we will discuss how neural networks are similar to plain mathematical functions (models), how they build upon traditional linear regression, and their application to visualize images with convolutional neural networks. The usual pedagogy for learning neural networks begins with the iconic diagram: columns of [...]

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