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

🌸 25% OFF All Reviewers on our International Women's Month Sale! Save 10% OFF All Subscriptions Plans & 5% OFF Store Credits/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.

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

GitHub Enterprise Cloud (GHEC)

2026-02-23T05:11:52+00:00

GitHub Enterprise Cloud (GHEC) Cheat Sheet GitHub Enterprise Cloud (GHEC) is GitHub's cloud-hosted option designed for large businesses and teams. It gives you a central place to manage multiple organizations, control access with enterprise-grade security features, and scale your development work across your entire company. unlike the free or team plans, GHEC includes advanced tools like SAML authentication, managed user accounts, compliance reports, and more. You can try it free for 30 days before buying. What Is GitHub Enterprise Cloud (GHEC)? GitHub Enterprise Cloud (GHEC) is GitHub's cloud option for large companies. It comes with extra features you don't get [...]

GitHub Enterprise Cloud (GHEC)2026-02-23T05:11:52+00:00

GitHub Enterprise Server (GHES)

2026-02-20T08:12:42+00:00

GitHub Enterprise Server Cheat Sheet GitHub Enterprise Server is a self-hosted version of the GitHub platform that runs on your own infstructure. It gives your business increasedd control over security, access, and compliance, while the developers keep the familiar GitHub workflows. It is suitable for enterprises subject to regulatory requirements and can be deployed on-premises or  in public cloud services. Trials How long: 45 days, completely free. How it works: You get a virtual appliance you can install on your own servers or in the cloud. What's missing: Dependabot alerts and GitHub Connect won't work during the trial. If you [...]

GitHub Enterprise Server (GHES)2026-02-20T08:12:42+00:00

GitHub Marketplace

2026-02-20T05:59:54+00:00

GitHub Marketplace Cheat Sheet GitHub Marketplace is a platform where developers can discover, purchase, and integrate tools that extend GitHub's functionality. It allows app creators to list their GitHub Apps and Actions for developers to use or purchase, reaching millions of GitHub users directly within their workflow.   Key Concepts Term Definition GitHub App Preferred app type with fine-grained permissions and short-lived tokens. Can act on behalf of users or independently. OAuth App Older app type that can only act on behalf of a user. GitHub Apps are generally preferred. Listing The public page for your app on Marketplace, including [...]

GitHub Marketplace2026-02-20T05:59:54+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!