Tech Blogs - Tutorials Dojo

The Economics of AI Infrastructure: Understanding AWS AI Factories
Artificial intelligence has shifted from being a software innovation challenge to becoming an infrastructure challenge. Organizations no longer struggle primarily with model design. Instead, organizations are increasingly challenged by compute density, energy consumption, networking scale, and operational complexity when deploying modern AI systems. As large-scale generative AI systems become [...]
Deploying an AWS Application Load Balancer (ALB) Using Terraform
If you’ve tried building an ALB manually in the AWS Console, you already know the drill create a VPC, configure subnets, set up security groups, launch EC2 instances, create a target group, add listeners, and then double check everything because one small misconfiguration can break the whole setup. It [...]
How to Break Into Tech (With Security in Mind)
Let’s talk honestly for a second. If you want to break into tech securely, you need to think differently from the start. A lot of people say they want to “break into tech,” but very few think about structure, architecture, and security from day one. What they usually mean [...]
Stop Running OpenClaw on Your Laptop: How I Built a Secure Personal AI Assistant Using Amazon Bedrock
I'll admit. The first time I heard about OpenClaw and its features, I was obsessed. The idea of having an AI that could actually do stuff rather than just giving responses to prompts felt like living in the future. As a university student, it’s a given that I have [...]
Improving Application Security with AWS Security Agent
Modern software teams are very fast today. Code is pushed daily. Pipelines deploy automatically. Features reach users quickly. This is the success of DevOps. But security often does not move at the same speed. In many organizations, security reviews are still scheduled monthly or quarterly. Penetration tests require coordination. [...]
Real-time Personally Identifiable Information (PII) Redaction Pipeline with S3 + Lambda + Comprehend
In my previous article, I demonstrated how to use the Amazon Comprehend console to manually detect and redact Personally Identifiable Information (PII) from text files. While this hands-on method is excellent for learning the fundamentals of PII detection, it’s not practical in real-world, high-volume environments where speed and accuracy [...]
Are AI Engineers the New Full-Stack Developers?
Something has been quietly shifting in the tech industry. Job titles that used to sit in completely separate corners of a hiring platform are starting to blur together, and engineers on both sides are feeling it. The full-stack developer who's suddenly expected to integrate LLMs. The AI engineer who's [...]
The “Stateful” Video: Moving from Random Prompts to Semantic Consistency
In the early days of GenAI, creating a video was like launching a Lambda function with no database—every time you ran it, the AI "forgot" what the character looked like, what they were wearing, or even the laws of physics in the previous scene.As we hit 2026, the industry [...]
Reinforcement Fine-Tuning in Amazon Bedrock: A Practical Guide for Enterprise AI
Large language models are powerful, but power alone is not enough for enterprise AI. A model may generate fluent responses, yet still miss your company’s tone, fail structured validation rules, or produce outputs that are technically correct but operationally unusable. The real challenge is not just making models smarter, [...]
Don’t Install OpenClaw! (Unless You Read This First)
If you have been on Twitter, TikTok, or GitHub recently, you have probably seen the hype. Clawdbot (now rebranded as OpenClaw) promises something bold: a self-hosted AI employee that runs on your Mac Mini, has terminal access, and takes instructions through messaging platforms like Telegram. It sounds powerful. It [...]

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

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 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 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

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, [...]

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

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 [...]

NEW Product Release: All-in-Access: Courses + PlayCloud Sandbox (AWS) & Play Sandbox (AWS)

Brace yourselves for a journey into the cutting-edge realms of tech and education! We're thrilled to announce not one but two incredible products designed to supercharge your learning experience and bring your skills to new heights! 🚀 Get ready to dive into innovation with our super-focused PlayCloud Sandbox (AWS) and All-in-Access: Courses + PlayCloud Sandbox (AWS). Let's explore why these releases are set to revolutionize your learning journey. PlayCloud Sandbox (AWS) The PlayCloud Sandbox is a [...]

Building a Deployment Pipeline for a React Application with AWS CodePipeline

This is the second part of a series of blogs about the platform management of a React Application infrastructure by adding a continuous deployment component to the earlier infrastructure. In an earlier article, I wrote about how a private react application infrastructure can be deployed with Terraform code. Now, we will explore this further by building a deployment pipeline using AWS CodePipeline. Let's assume that the source code of the React web application is [...]

Train and Deploy a Scikit-Learn Model in Amazon SageMaker

Introduction In the ever-evolving world of machine learning (ML), the ability to efficiently train and deploy models is crucial for turning innovative ideas into real-world applications. This is where Amazon SageMaker, a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly, stands out. Amazon SageMaker streamlines the machine learning workflow, offering a broad set of capabilities that are designed to enable [...]