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AWS Cheat Sheets

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Streamline your SageMaker Environments using Terraform

2025-03-23T14:34:21+00:00

Bookmarks Advantages of using Terraform in SageMaker AI Disadvantages of using Terraform in SageMaker AI Solution Overview Solution The high-level steps to implement this solution with Terraform Pre-requisites for provisioning SageMaker AI Studio with Terraform Create the S3 Bucket and DynamoDB for Remote State Establish the Terraform Project Structure for your SageMaker AI Make the required IAM Resources. Put in place Storage Resources (S3) Build Network Infrastructure via VPC. Deploy your SageMaker AI Resources using Terraform. Make the Outputs. To delete your SageMaker AI with Terraform [...]

Streamline your SageMaker Environments using Terraform2025-03-23T14:34:21+00:00

DeepSeek in Amazon Bedrock: A Comprehensive Demo

2025-02-01T09:31:47+00:00

Bookmarks DeepSeek in Amazon Bedrock Workflow Overview DeepSeek in Amazon Bedrock Pre-requisites  Implementation Processes  As of January 2025, we’re seeing too much news about DeepSeek AI features in many media outlets, but how about implementing DeepSeek AI and AWS workloads? DeepSeek AI in Amazon Bedrock Anyone? Well, one of the most interesting NLPs that sparked this January 2025 is DeepSeek Multimodal AI. There are many that claim it has higher chances to exceed the top-level benchmark models, such as OpenAI, Anthropic, and many more. This is with the claim of being cost-effective and giving [...]

DeepSeek in Amazon Bedrock: A Comprehensive Demo2025-02-01T09:31:47+00:00

Mastering Prompt Engineering for AWS Large Language Models (LLMs)

2024-11-30T03:16:36+00:00

In the rapidly evolving world of Artificial Intelligence (AI) and Machine Learning (ML), Prompt Engineering has become a cornerstone skill for effectively harnessing the power of Large Language Models (LLMs). These models transform industries, power intelligent chatbots, automate workflows, and redefine customer experiences. Yet, the key to unlocking their full potential is crafting clear, precise prompts tailored to specific tasks. Far from being a mere technical skill, Prompt Engineering shapes the interaction between humans and AI, directly influencing the accuracy, efficiency, and reliability of AI-driven solutions. This skill takes on even greater importance in the AWS ecosystem with tools like [...]

Mastering Prompt Engineering for AWS Large Language Models (LLMs)2024-11-30T03:16:36+00:00

Security in AWS Data Engineering: Best Practices and Strategies

2024-11-29T00:42:48+00:00

Bookmarks The AWS Shared Responsibility Model Use AWS Data Encryption Use Identity and Access Management (IAM) Implement Network Security Monitoring and Logging Compliance Standards Data Governance Secure Data Storage Backup and Disaster Recovery Automating Security Practices Conclusion: Proactive Security Measures for Data Engineers References In today's world of Cloud Computing, data engineering security and compliance are very important for companies that manage sensitive information. Data engineers that are using Amazon Web Services (AWS) must protect their data while following regulatory standards. Many organizations now use [...]

Security in AWS Data Engineering: Best Practices and Strategies2024-11-29T00:42:48+00:00

PartyRock: AI Python Code Checker for Tech Interview Simulation

2024-11-05T09:32:12+00:00

Bookmarks What is Party Rock? AI Code Checker Tools Comparison UI Components of our PartyRock-based Python Code Checker Python Interview Topics Covered by the PartyRock app Use-cases and Applications of PartyRock-based Python Code Checker  Hands-on Exercise: Getting Started with PartyRock Final Remarks References Are you a recent college graduate or someone transitioning into a tech career, striving to succeed in coding interviews focused on Python? Indeed, Python ranks among the most common and flexible programming languages in the tech world. Perhaps you have explored various ways to study Python [...]

PartyRock: AI Python Code Checker for Tech Interview Simulation2024-11-05T09:32:12+00:00

AWS in Bioinformatics: Biology, data, & the cloud

2025-01-29T04:56:13+00:00

Marriage of biology and tech. With the current technological advancements, how about we throw in the cloud in the tech too? Just like... Bioinformatics in AWS HealthOmics. Yes, you read that right! Are you torn between the two and want to pursue them both? To sit in a laboratory working on something new and interesting without bidding your farewell to the “Hello World!”? Then this article will introduce a field that may interest you. Maybe you are a biologist who wants to know how to use your domain expertise to move into the technological realm. Or perhaps you are a [...]

AWS in Bioinformatics: Biology, data, & the cloud2025-01-29T04:56:13+00:00

Automate CloudFront Invalidation via Slack

2024-10-25T10:03:51+00:00

In today's digital age where most people are using gadgets, we're likely familiar with the term "cache". Most of us first hear about cache when looking to free up storage or improve performance on our mobile devices especially for android users. If we look at our device's settings then navigate to the storage of an application, we will see two options: one is to delete the app entirely, and the other one is to clear its cache. Of course if you're still using your application, you'll click the second option. And after it, voila! Your application seems to run smoother. [...]

Automate CloudFront Invalidation via Slack2024-10-25T10:03:51+00:00

Amazon SageMaker Data Wrangler

2024-10-03T13:28:49+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2024-10-03T13:28:49+00:00

How to Install Docker on Ubuntu using Amazon EC2

2024-09-20T08:10:46+00:00

This tutorial will assist in setting up Docker on an Amazon EC2 Ubuntu instance. Docker's containerization and Ubuntu's user-friendliness make cloud application deployment and management simple. Amazon EC2 provides scalable infrastructure for hosting Docker containers, allowing for smooth app management and scaling. To easily set up Docker on your EC2 instance, just follow this tutorial. What is Docker? Docker is an open-source platform that simplifies the process of building, deploying, and managing applications within isolated containers. These containers bundle the application code along with all its dependencies, ensuring the software behaves the same across different environments, whether on a local [...]

How to Install Docker on Ubuntu using Amazon EC22024-09-20T08:10:46+00:00

Amazon SageMaker Feature Store

2024-09-20T07:08:44+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2024-09-20T07:08:44+00:00

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