• claude-book an exam

    How to Book the Claude Certified Architect – Foundations (CCA-F) Exam

    The Claude Certified Architect – Foundations (CCA-F) is Anthropic's foundational certification for professionals who design and build production systems with Claude. One thing is worth understanding before you register: the exam is scenario-based, not concept-based. Rather than asking you to define terms or recall facts in isolation, each question [...]

  • AWS AIF-C01, CLF-C02

    Get AWS AIF-C01 and CLF-C02 with 50% OFF: Build Your Future with Two AWS Certifications!

    Artificial intelligence and cloud computing are changing the way we work. From writing emails with AI assistants to running business applications in the cloud, these technologies have become part of our everyday lives. You no longer need to be a software engineer to benefit from understanding how they work. [...]

  • Comparison graphic for local web and mobile app development setups using Expo, Flutter, and Capacitor.

    The Best Local Development Setups for Web and Mobile Apps

    Local development setups can affect how fast you build, test, and ship web and mobile apps. This guide is for students, developers, and everyone that wants to compare three practical cross-platform options. You will see how Next.js with Expo, Flutter with Android Studio, and Next.js with Capacitor perform in [...]

  • Machine Learning with PyTorch Beginner Guide Cover Banner

    My First Exposure to Machine Learning with PyTorch

    If you have ever opened a machine learning tutorial and felt like you were reading a math and statistics textbook, you are not alone. I spent months telling myself I would “get into AI eventually”, until I finally arrived at my breakthrough. This is not a textbook breakdown of [...]

  • AI browser agents automating web tasks using Browser Use and Playwright

    Building AI Browser Agents with Browser Use and Playwright

    Artificial intelligence is changing how developers interact with the web. Traditional browser automation was originally designed around predefined scripts, rigid workflows, and predictable user actions. Developers manually wrote automation logic that followed exact selectors, buttons, and navigation sequences. While effective, these systems often broke whenever websites changed their layouts [...]

  • Cloud-native software development

    The New Software Stack: AI + GitHub + Cloud

    Software development looks very different today than it did five years ago. Developers are no longer working with isolated tools and manual deployment pipelines. Instead, the modern software stack has grown into a connected ecosystem where artificial intelligence, cloud infrastructure, automated DevOps workflows, and collaborative development platforms all work [...]

  • Artificial Intelligence helping junior developers learn coding

    AI Coding Assistants Are Changing Junior Developer Learning Habits

    Human AI workflows are rapidly transforming modern software development. From generating boilerplate code to debugging cloud infrastructure configurations, AI coding assistants are becoming part of the everyday toolkit of developers around the world. For junior developers, this shift is significantly changing how programming is learned. A few years ago, [...]

  • Connecting the Pieces: How AWS Services Form Cloud Architectures

    One of the biggest surprises I encountered while learning AWS was realizing that understanding individual services and understanding cloud architecture are not the same thing. Like many beginners, I started by learning services one at a time. EC2 was a virtual server. S3 was object storage. RDS was a [...]

  • lovable-lambda

    How to Deploy a Lovable Site to AWS Lambda Using the AWS Lambda Web Adapter

    There is a real satisfaction in taking something you built yourself and putting it live on infrastructure you own and control. This guide shows you how to deploy a Lovable site to AWS Lambda using the AWS Lambda Web Adapter, so a page you designed in an afternoon can [...]

  • AI Workflows

    The Rise of Human + AI Workflows

    I've grown with AI during it's formative years to see how the public's perception constantly shift. AI was once framed as a threat: You vs. AI. Then it became a divide: AI-assisted users vs. non-AI-assisted users. Now, we are entering the real future of work: You + AI. The [...]

  • Switching Spot Instance to Reserved Instance

Switching Your Spot EC2 Instance to a Reserved EC2 Instance

Amazon Elastic Compute Cloud (EC2) is a cloud computing service that instantly provides flexible and scalable resources to deploy virtual servers, called instances. While Spot Instances can save you a significant amount of money, especially for short-lived workloads, there may come a time when you need a more predictable pricing model. This is where Reserved Instances (RIs) come in handy. In this article, we'll explain the reasons for switching from a Spot Instance to [...]

  • Securing Application Logs with Amazon Comprehend

Securing Application Logs with Amazon Comprehend

Security is one of the more overlooked aspects that many fall victim to when designing the architecture of applications. Partnering this lack of security priority with the increasing value of personal user data, security breaches become one of the certain ways for companies to lose user trust, face legal charges, and, in the long run, fail.  Various governments developed data compliance laws to set minimum guidelines for security in data handling by data stakeholders. [...]

  • Cloud Career Journeys

3 Ways to Fast Track your Cloud Career Journey this 2024

  I usually have a countdown to the end of the year (even as early as the 1st quarter of the year) that acts as a timebox for me to track my goal progression or even catch up with the old aspirations until the earth completes yet another revolution around the sun. We may not accomplish 100% of our targets, but if we keep a positive disposition in life and persistently work on achieving [...]

  • Building a Simple Video Hosting Service using Amazon CloudFront, Amazon S3, and AWS Amplify

Building a Simple Video Hosting Service using Amazon CloudFront, Amazon S3, and AWS Amplify

Application Use Case The primary purpose of this application is to share a video as a link and have it accessed by viewers with low latency. This feature is great for those who make quick videos, for example, a short demonstration on how to use an application or a group of academics sharing their explanations to mentor their peers. Overview of the Tech Stack Different video hosting websites cater to [...]

  • Machine Learning Mathematics: Regression Basics

Machine Learning Mathematics: Regression Basics

In recent years, of the ever-evolving landscape of technology, a few of the most prominent buzzwords that continue to capture the imagination of innovators and entrepreneurs alike are Machine Learning (ML) and Artificial Intelligence (AI). With the boom of OpenAI’s ChatGPT last November 2023, as well as the many that followed suit, including major tech companies like Meta with their LLaMa model and Google’s PaLM and newly announced Gemini, ML and AI will most [...]

  • Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions1

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions

This is the final part of a three-part article about a Web Application Project from building a private infrastructure to building a deployment pipeline using AWS’ cloud-native continuous delivery service AWS CodePipeline, and now finalizing the infrastructure to be accessible in a public domain and building a pipeline for continuous deployment using a third-party CD tool – GitHub Actions. From the private infrastructure previously built, we will update the S3 policy to add a statement [...]

  • Distributed Data Parallel Training with TensorFlow and Amazon SageMaker Distributed

Distributed Data Parallel Training with TensorFlow and Amazon SageMaker Distributed Training Library

Introduction In the realm of machine learning, the ability to train models effectively and efficiently stands as a cornerstone of success. As datasets grow exponentially and models become more complex, traditional single-node training methods increasingly fall short. This is where distributed training enters the picture, offering a scalable solution to this growing challenge. Distributed Training Overview Distributed training is a technique used to train machine learning models on large datasets more efficiently. By splitting [...]

  • Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker

Securing Machine Learning Pipelines: Best Practices in Amazon SageMaker

Introduction In today's digital era, the importance of security in machine learning (ML) pipelines cannot be overstated. As ML systems increasingly become integral to business operations and decision-making, ensuring the integrity and security of these systems is paramount. A breach or a flaw in an ML pipeline can lead to compromised data, erroneous decision-making, and potentially catastrophic consequences for businesses and individuals alike. This section will delve into why securing ML pipelines is crucial, [...]

  • aws certification http flood attack with lambda eventbridge cloudwatch logs insights DEA-C01

HTTP Flood Attack Notification using AWS Lambda, Amazon EventBridge and CloudWatch Logs Insights

We can almost do everything now on the website. Selling clothes, ordering food, video posting, doing business meetings, online classes, and others, you name it. Running a website is very awesome and at the same time hard, especially when bad actors want to mess with it. One sneaky way is an "HTTP Flood Attack," where your website gets bombarded with too many requests. This can slow down or even break your site. Detecting and responding [...]

  • Training an Image Classification Model with TensorFlow in Amazon SageMaker

Training an Image Classification Model with TensorFlow in Amazon SageMaker

Introduction In today's digital age, where data is as vital as currency, the power of Machine Learning (ML) in transforming industries is undeniable. From self-driving cars to personalized medicine, ML models are at the heart of many technological breakthroughs. Among the various tools and frameworks available for ML, TensorFlow has emerged as a leader, renowned for its versatility and scalability. This article aims to demystify the process of training an Image Classification model using [...]

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