Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

🐰 25% OFF Easter Sale! Use code TDPLAYCLOUD-04022026 for 10% OFF ALL PlayClouds Subscription & 5% OFF gift cards!

joshuasanti

Home » Collections for Joshua Emmanuel Santiago

About Joshua Emmanuel Santiago

Joshua, a college student at Mapúa University pursuing BS IT course, serves as an intern at Tutorials Dojo.

Reserved Instance (RI) Reporting

2026-03-26T04:51:20+00:00

Reserved Instance (RI) Reporting Cheat Sheet AWS provides built‑in tools to help you understand and manage your Reserved Instances (RIs). You can visualize RI data at an aggregate level, inspect individual subscriptions, access the most detailed usage information, and set custom utilization targets with alerts.   Reserved Instance (RI) Reporting Utilization and Coverage  The RI Utilization and RI Coverage reports are available in AWS Cost Explorer. They let you see your RI data at an aggregate level or drill into a specific RI subscription. RI Utilization – How much of your purchased RI capacity you are actually using. RI Coverage – How much of your instance [...]

Reserved Instance (RI) Reporting2026-03-26T04:51:20+00:00

AWS Transform

2026-03-19T09:25:04+00:00

AWS Transform Cheat Sheet AWS Transform is an agentic AI service designed to accelerate enterprise modernization of full-stack Windows, mainframe, and VMware workloads, as well as custom transformations of code, APIs, and frameworks. Built on 20 years of AWS migration experience, it uses specialized AI agents to automate complex tasks such as assessments, code analysis, refactoring, decomposition, dependency mapping, validation, and transformation planning. The service enables teams to modernize hundreds of applications in parallel through a natural language chat experience and shared workspaces.   Key Benefits of AWS Transform Accelerate modernization – Modernize Windows, mainframe, and VMware applications up to 5x [...]

AWS Transform2026-03-19T09:25:04+00:00

Amazon Aurora DSQL

2026-03-18T05:54:41+00:00

Amazon Aurora DSQL Cheat Sheet Amazon Aurora DSQL is a serverless, distributed relational database built for transactional workloads. It scales virtually without limit and removes the need to manage any underlying infrastructure. Its active-active design delivers 99.99% availability in a single Region and 99.999% availability when deployed across multiple Regions.   When to Use Aurora DSQL Aurora DSQL is a good fit for applications that need ACID transactions and a relational data model. Because it is serverless, it works naturally with microservices, serverless functions, and event-driven systems. It is compatible with PostgreSQL, so you can keep using your existing drivers, [...]

Amazon Aurora DSQL2026-03-18T05:54:41+00:00

Vertex AI Agent Builder

2026-03-13T03:52:39+00:00

Vertex AI Agent Builder Cheat Sheet Vertex AI Agent Builder is a platform for building, scaling, and governing enterprise-grade AI agents. It provides the foundation to transform applications and workflows into agentic systems using your enterprise data.   The Three Pillars of Vertex AI Agent Builder Pillar Core Components Core Benefit Build Open frameworks: Agent Development Kit (ADK) and OSS support (LangGraph, CrewAI). Models: Native Gemini integration and model-agnostic access (Model Garden). Tool use: RAG, search, grounding, and hundreds of connectors (BigQuery). Ecosystem: Open protocols (MCP and A2A) for interoperability. Build with flexibility using ADK or your preferred frameworks and [...]

Vertex AI Agent Builder2026-03-13T03:52:39+00:00

Google’s Secure AI Framework (SAIF)

2026-03-13T03:19:53+00:00

Google’s Secure AI Framework (SAIF) Cheat Sheet Google's Secure AI Framework (SAIF) is a conceptual framework designed to help organizations secure AI systems. It addresses top-of-mind concerns for security professionals, such as AI/ML model risk management, security, and privacy. SAIF helps ensure that when AI models are implemented, they are secure by default.   Six Core Elements of SAIF 1. Expand strong security foundations to the AI ecosystem Organizations can build on secure by default infrastructure protections developed over the last two decades to protect AI systems, applications and users. They should develop organizational expertise to keep pace with advances [...]

Google’s Secure AI Framework (SAIF)2026-03-13T03:19:53+00:00

Vertex AI Studio

2026-03-09T00:28:19+00:00

Vertex AI Studio Vertex AI Studio is a Google Cloud console tool for rapidly prototyping and testing generative AI models. It helps you streamline foundation model workflows by letting you test, tune, and deploy enterprise-ready generative AI. Google's Vertex AI Studio offers an efficient experience for discovering and refining models, settings, system instructions, and prompts through built-in experiences and a dedicated collaborative workspace environment.   Vertex AI Key Features Gemini multimodal models – Access to the latest Gemini models from Google, including Gemini 3. Prompt and test Gemini using text, images, video, or code. Try sample prompts for extracting text from [...]

Vertex AI Studio2026-03-09T00:28:19+00:00

Vertex AI Model Garden

2026-03-05T09:32:11+00:00

Vertex AI Model Garden Cheat Sheet Model Garden is a centralized AI/ML model library on Vertex AI that helps you discover, test, customize, and deploy models and assets from Google and Google partners. It provides over 200 models, with consistent deployment patterns and built-in integration with Vertex AI's tuning, evaluation, and serving capabilities. Model Categories Category Description Examples Foundation models Pretrained multitask large models that can be tuned or customized for specific tasks using Vertex AI Studio, API, or Python SDK Gemini, Imagen, Veo, Chirp Fine-tunable models Models that you can fine-tune using custom notebooks or pipelines Gemma, CodeGemma, PaliGemma [...]

Vertex AI Model Garden2026-03-05T09:32:11+00:00

Gemini for Google Cloud

2026-03-04T07:26:48+00:00

Gemini for Google Cloud Cheat Sheet Gemini for Google Cloud is a generative AI-powered collaboration product that provides assistance to a wide range of Google Cloud users, including developers, data scientists, and cloud architects. It is embedded in many Google Cloud products to offer an integrated assistance experience. Product Offerings Product Type of Assistance Key Tasks Gemini Cloud Assist Design, optimize, and operate cloud applications Efficiently manage cloud applications; create, optimize, and troubleshoot resources quickly; manage resource security configurations Gemini Code Assist Develop, deploy, and troubleshoot code Generate and debug code; generate unit tests; offer code optimization suggestions; build integrations [...]

Gemini for Google Cloud2026-03-04T07:26:48+00:00

Vertex AI

2026-03-04T06:11:18+00:00

Vertex AI Cheat Sheet Vertex AI is a unified machine learning (ML) platform that lets you train and deploy ML models and AI applications. It combines data engineering, data science, and ML engineering workflows, enabling teams to collaborate using a common toolset. The platform supports both generative AI (GenAI) workflows and traditional ML (AI inference) workflows with end-to-end MLOps tools and enterprise-grade controls. Key Capabilities Area Capabilities Generative AI Prompt design in Vertex AI Studio; Model Garden with 200+ models (Google foundation models like Gemini, partner models like Claude, open-source like Llama); Model customization (grounding, supervised fine-tuning, PEFT); Gen AI [...]

Vertex AI2026-03-04T06:11:18+00:00

GitHub Advanced Security

2026-02-25T06:24:37+00:00

GitHub Advanced Security Cheat Sheet GitHub Advanced Security (GHAS) is a set of security features that help you find and fix vulnerabilities and prevent secret leaks in your code. It is available as two separate products: GitHub Secret Protection and GitHub Code Security. These products can be purchased by accounts on GitHub Team or GitHub Enterprise Cloud. Some features are available for free on public repositories. Who Can Use GitHub Advanced Security? GitHub Secret Protection and GitHub Code Security are available for accounts on GitHub Team and GitHub Enterprise Cloud. Some features are also available for free for public repositories on GitHub.com. For a full comparison of features across [...]

GitHub Advanced Security2026-02-25T06:24:37+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!