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 [...]

Data Ingestion in AWS: Handling Homogenous and Heterogenous Data

The phrase "data is the new oil" or "data is the new gold" may sound like a cliche, but it captures the fact that data is a critical asset for modern businesses. Companies have long used data to inform strategic decisions, especially in today's tech industry. Many organizations now build dedicated data analytics teams to harness information gathered from various sources. Yet, for an average Joe, the process of transforming data into actionable insights [...]

Generative AI and Reinventing with Amazon Q

The Journey to Amazon Q AWS re:Invent 2023 recently concluded, and there has been some exciting news around data, infrastructure, artificial intelligence, and machine learning. One of the big announcements was Amazon Q, currently under Preview release. Amazon Q is a generative artificial intelligence (AI) powered conversational assistant. Announced during the keynote by AWS CEO Adam Selipsky, he spoke about various things that AWS is doing to support its customers. The value of constant [...]

Building Code-Free GenerativeAI Apps with PartyRock

What is PartyRock? It has been two weeks since Amazon announced PartyRock, an Amazon Bedrock Playground. It comes with the tagline “Everyone can build AI apps”. According to Amazon President and CEO, Andy Jassy, it was just an internal tool created by AWS developers to experiment with Foundation Models from Amazon Bedrock. The name PartyRock was in reference to it being a fun and collaborative way to experience Amazon Bedrock. I joined the party [...]

How I Prepared for the AWS Cloud Practitioner CLF-C02 Exam as a Data Scientist

In the ever-evolving landscape of technology, the pursuit of knowledge and skills is not just a choice but a necessity, especially for professionals like data scientists. This realization led me to embark on a journey towards achieving the AWS Certified Cloud Practitioner CLF-C02 certification, a decision that not only expanded my technical horizons but also underscored the importance of continuous learning in the tech industry. As a data scientist, my daily encounters with vast [...]

Amazon AI Fairness and Explainability with Amazon SageMaker Clarify

Introduction In the rapidly evolving domain of machine learning, ensuring fairness and explainability in model predictions has become crucial. With Amazon SageMaker Clarify, these critical aspects are not just an afterthought but integral components of the model development and deployment process. This article delves into the world of SageMaker Clarify, offering a comprehensive guide to its capabilities and practical applications. We commence our journey with a high-level understanding of what SageMaker Clarify is and [...]

The AI Revolution: An Overview of Generative AI and Foundation Models

The recent biggest trends in technology revolve around this buzzword that exploded in popularity: Generative AI. After the initial public release of ChatGPT from OpenAI around November 2022, plenty of other chatbots powered by large language models (LLMs), like Google’s PaLM powering Google Bard and Meta’s LLaMa model, took the world by storm. These LLMs have empowered millions of users and developers, affecting various areas of work and thus reshaping the industry. In this [...]

Personal ML Projects with Amazon SageMaker, Amazon Comprehend, Amazon Forecast and Other ML Services

Machine learning and artificial intelligence have been powering many of the technologies we use daily, some of which we may not actively pay attention to, and they have become second nature to us. Suppose we actively look for the presence of ML/AI. In that case, we can find them everywhere: natural language processing in our AI Assistants, recommender engines in e-commerce, social media, and music, and fraud detection in finance, among many other technologies. [...]

Automating Binary Classification Model Building with Amazon SageMaker Autopilot

Introduction In the ever-evolving world of machine learning, binary classification stands out as one of the most fundamental and widely used techniques. At its core, binary classification involves categorizing data into one of two groups based on certain features. This method is crucial in various applications, such as spam detection, medical diagnosis, and customer churn prediction. However, building an effective binary classification model can be a complex and time-consuming process, requiring extensive knowledge in [...]

Leveraging Amazon CloudFront with S3 and Route 53 for Subdomain Configuration

Amazon S3 and Route 53, both provided by AWS, offer a comprehensive solution for managing and deploying web content. Route 53 allows you to create alias records that direct to the website endpoint of your S3 bucket. Meanwhile, Amazon S3 is a robust service for hosting static websites. These services, when used together, provide a powerful toolset for web content management. However, there's a key requirement when using these services together: the bucket name [...]

How AWS IQ Works

AWS offers a lot of platforms to meet various needs of businesses, which will help them grow and succeed. Now, some companies must complete a project, follow timelines and requirements, encounter challenges to specific services, and need help moving forward. Here comes AWS IQ, provided by Amazon Web Services, wherein customers and certified experts engage, offering support in different perspectives, services, and domains. This platform will be a great help for customers who seek [...]