Ends in
00
hrs
00
mins
00
secs
ENROLL NOW

⏳48 Hour Extension Anniversary Sale - Get 25% OFF ALL Reviewers plus eBooks as LOW as 2.99 USD only!

Irene-TutorialsDojo

Home » Collections for Irene Bonso

About Irene Bonso

Irene Bonso is currently thriving as a Junior Software Engineer at Tutorials Dojo and also an active member of the AWS Community Builder Program. She is focused to gain knowledge and make it accessible to a broader audience through her contributions and insights.

Maximizing ROI: Analyzing Google Ads Spend vs. Sales Performance

2025-03-21T08:04:17+00:00

In digital marketing, every spent on advertising should contribute to measurable growth. But how do you determine if your Google Ads investment is truly delivering results? Businesses can assess the direct relationship between ad spend and conversions by analyzing key data from Google Ads and Google Analytics. This blog will explore how to justify an increase in Google Ads expenditure by reviewing sales performance and helping you make data-driven decisions to optimize your advertising budget and maximize ROI. How to Analyze Google Ads and Google Analytics Data To effectively measure the success of your advertising efforts, it’s essential to understand [...]

Maximizing ROI: Analyzing Google Ads Spend vs. Sales Performance2025-03-21T08:04:17+00:00

The Evolving Landscape of Digital Dialogue: DeepSeek vs. ChatGPT

2025-02-26T07:11:43+00:00

In the sprawling digital age, where information spreads like a rapidly growing network, and the need for intelligent interaction grows significantly, artificial intelligence has stepped into the spotlight, transforming how we engage with technology and machines. DeepSeek and ChatGPT have emerged as important players in the field of natural language processing, each carving out their own specialty. These platforms, while sharing the common goal of facilitating human-computer interaction, differ significantly in their underlying architectures, training methodologies, and intended applications. Their influence spreads across a wide range of industries, including customer service, content creation, and research and development. Understanding their strengths [...]

The Evolving Landscape of Digital Dialogue: DeepSeek vs. ChatGPT2025-02-26T07:11:43+00:00

Enhanced Data Processing and Retrieval with Amazon Bedrock’s New Capabilities

2025-01-27T06:56:57+00:00

Data is at the heart of modern innovation, and the ability to process, analyze, and extract insights from diverse data types is more important than ever. Amazon Bedrock introduces a suite of advanced capabilities designed to simplify data management and enhance AI-driven applications. By automating workflows, integrating multimodal data, and bridging structured and unstructured data, Amazon Bedrock empowers businesses to turn raw information into actionable intelligence, driving efficiency and scalability across industries. Key Features and Capabilities of Amazon Bedrock Amazon Bedrock brings a suite of enhanced capabilities that address critical challenges in data management. Here’s a closer look at the [...]

Enhanced Data Processing and Retrieval with Amazon Bedrock’s New Capabilities2025-01-27T06:56:57+00:00

Understanding AWS Responsible AI: Key Concepts and Dimensions

2024-12-02T04:56:02+00:00

As AI becomes a bigger part of our lives, it’s important to make sure it’s used responsibly. Responsible AI means building and using AI systems in ways that are ethical, fair, and accountable. AWS provides a range of tools to help organizations build AI systems that follow these principles. In this blog, we’ll look at what responsible AI is, the key dimensions of responsible AI on AWS, and the tools available to support these practices. Understanding Generative AI Generative AI is a subset of artificial intelligence that utilizes machine learning models to generate new content. This includes text, images, videos, audio, [...]

Understanding AWS Responsible AI: Key Concepts and Dimensions2024-12-02T04:56:02+00:00

Setting up Slack notifications on Tag Modifications for EC2 Instances

2024-10-31T00:44:52+00:00

Monitoring resource configurations in a dynamic cloud environment is important, especially in production. One essential aspect of managing AWS resources, such as Amazon EC2 instances, is tracking tag modifications. Tags are not just labels but vital in organizing resources, enabling billing allocation, and enforcing compliance policies. Any unintentional tag modification can disrupt operations or mislead resource management, making timely alerts vital. This article will guide you through setting up automated Slack notifications to alert your team whenever a tag modification occurs on production EC2 instances. Using a combination of Amazon EventBridge, AWS Lambda, and Slack API, you can create a [...]

Setting up Slack notifications on Tag Modifications for EC2 Instances2024-10-31T00:44:52+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

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

How to configure AWS Lambda Function URL with Cross-Origin Resource Sharing

2024-09-20T00:43:02+00:00

Get started learning how to build your first-ever Python Labs Client App, a web application that leverages the power of serverless computing. This creative application is primarily designed to cater to individuals eager to enhance their Python programming skills. By using the flexibility and scalability of AWS Lambda, you'll be able to create dynamic and interactive web experiences without the hassle of managing infrastructure. This Python Code Playground will be a valuable tool for developers of all levels, providing a hands-on environment to experiment with Python code and learn new concepts. Explore our TechKubo Tutorials for a comprehensive collection of [...]

How to configure AWS Lambda Function URL with Cross-Origin Resource Sharing2024-09-20T00:43:02+00:00

Migration Evaluator Cheat Sheet

2024-09-13T07:55:06+00:00

Migration Evaluator Cheat Sheet Migration Evaluator is a service that helps organizations assess their on-premises infrastructure and plan a migration to AWS. It provides insights into the costs of running current workloads on AWS and recommends optimized AWS resources based on usage patterns. Migration Evaluator Use Cases Use the Agentless Collector for broad discovery of your infrastructure or securely upload existing inventory data for analysis and insights. Capture a snapshot of your current on-premises environment to optimize software licensing, map server dependencies, and explore various migration strategies. Assess your current state, define a target AWS state, and create a migration [...]

Migration Evaluator Cheat Sheet2024-09-13T07:55:06+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!