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About Ace Kenneth Batacandulo

Ace is AWS Certified, AWS Community Builder, and Cloud Consultant at Tutorials Dojo Pte. Ltd. He is also the Co-Lead Organizer of K8SUG Philippines and a member of the Content Committee for Google Developer Groups Cloud Manila. Ace actively contributes to the tech community through his volunteer work with AWS User Group PH, GDG Cloud Manila, K8SUG Philippines, and Devcon PH. He is deeply passionate about technology and is dedicated to exploring and advancing his expertise in the field.

GitHub Copilot

2025-12-02T09:40:02+00:00

GitHub Copilot Cheat Sheet GitHub Copilot is an AI-powered code completion tool designed to help developers write code faster. It provides intelligent code suggestions based on the context of your code, comments, and files. It supports multiple programming languages and integrates with popular IDEs, including Visual Studio Code, JetBrains, and others. Generates code suggestions (from single lines to full functions) Context-aware (understands surrounding code and comments) Supports multiple languages (e.g., Python, JavaScript, Java, C++, etc.) Works within IDEs (VS Code, JetBrains, Visual Studio, etc.) Plans GitHub Copilot offers various pricing tiers, including free and paid options for individuals and businesses. [...]

GitHub Copilot2025-12-02T09:40:02+00:00

GH-100 GitHub Administration Exam Study Path

2025-11-20T18:33:12+00:00

The GH-100: GitHub Administration certification is designed for professionals who are responsible for managing and administering GitHub environments, particularly GitHub Enterprise (Cloud and Server). This certification will test your ability to configure, secure, automate, and manage repositories, workflows, user access, and security within GitHub environments. The exam covers core GitHub features, including user identity management, repository structure, access management, GitHub Actions automation, security controls, and data privacy practices. Candidates should have intermediate experience with GitHub Enterprise or equivalent environments. Overview of the GH-100 GitHub Administration Certification Exam Duration: 100 minutes Total Questions: 65 questions, approximately Passing Score: 700/1000 (scaled score) [...]

GH-100 GitHub Administration Exam Study Path2025-11-20T18:33:12+00:00

GH-500 GitHub Advanced Security Exam Study Path

2025-11-20T18:32:08+00:00

The GH-500: GitHub Advanced Security certification is designed for security professionals, developers, and system administrators who are responsible for securing software development and deployment pipelines within GitHub. This exam validates the candidate's ability to configure, manage, and operate GitHub Advanced Security (GHAS) tools, including code, secret, and dependency scanning, to safeguard applications and protect sensitive information. This certification is essential for professionals who need to demonstrate expertise in using GitHub Advanced Security to mitigate vulnerabilities, detect and prevent security issues, and manage security at scale within an enterprise development environment. Overview of the GH-500 GitHub Advanced Security Certification Exam Duration: [...]

GH-500 GitHub Advanced Security Exam Study Path2025-11-20T18:32:08+00:00

GH-900 GitHub Foundations Exam Study Path

2025-11-20T18:29:28+00:00

The GitHub Foundations (GH-900) certification establishes a foundational understanding of GitHub as a modern development and collaboration platform. It is designed for individuals who want to validate their ability to work with Git repositories, collaborate effectively on GitHub, manage repositories, understand basic GitHub Actions automation, and participate in open-source communities. This certification is ideal for beginners, students, early-career developers, technical professionals, or anyone transitioning into software development or DevOps environments. The GH-900 exam emphasizes practical knowledge of GitHub’s interface, collaboration features, workflow management, project organization, and security capabilities. Although beginner-level, it covers a broad set of essential concepts that reflect [...]

GH-900 GitHub Foundations Exam Study Path2025-11-20T18:29:28+00:00

GH-200 GitHub Actions Exam Study Path

2025-11-20T18:31:43+00:00

The GitHub Actions (GH-200) certification is designed to validate a candidate's expertise in implementing and managing GitHub Actions automation workflows. This certification is intended for professionals who want to demonstrate their ability to automate continuous integration and delivery (CI/CD) processes and manage enterprise-level workflows using GitHub Actions. It is ideal for DevOps engineers, software developers, and automation professionals looking to enhance their GitHub skills and manage workflows at scale. Overview of the GH-200 GitHub Actions Certification Exam Duration: 100 minutes Total Questions: 65 questions, approximately Passing Score: 700/1000 (scaled score) Languages Available:  English, Spanish, Portuguese (Brazil), Korean, Japanese GitHub Actions [...]

GH-200 GitHub Actions Exam Study Path2025-11-20T18:31:43+00:00

GH-300 GitHub Copilot Exam Study Path

2025-11-20T18:05:13+00:00

The GH-300: GitHub Copilot certification is designed for developers, administrators, and project managers who already use GitHub Copilot in their development processes and wish to formalize their knowledge and skills in leveraging this AI-powered tool for efficient, responsible software development. GitHub Copilot assists developers by providing code suggestions, documentation, and refactoring options powered by artificial intelligence. The certification exam will test your ability to effectively integrate GitHub Copilot into real-world development workflows, optimize productivity, and ensure responsible AI use. In this guide, we'll walk you through all the key exam domains, essential study materials, and recommended preparation strategies. Overview of [...]

GH-300 GitHub Copilot Exam Study Path2025-11-20T18:05:13+00:00

What is an AI Agent?

2025-09-19T13:01:29+00:00

AI agents are autonomous systems that perform tasks, make decisions, and interact with their environment with minimal human intervention. These agents can handle complex processes across various industries by leveraging advanced machine learning and artificial intelligence techniques. Here’s a comprehensive guide to understanding AI agents, their components, types, and applications. Core Components: Perception: Collects data from the environment using sensors or input channels. Reasoning: Analyzes the gathered data to make informed decisions or predictions. Action: Executes actions or tasks based on the reasoning process. Learning: Improves performance over time by learning from previous experiences. Memory: Retains data to provide continuity [...]

What is an AI Agent?2025-09-19T13:01:29+00:00

What is Multimodal AI?

2025-09-08T17:57:35+00:00

Multimodal AI refers to systems or models that can process and integrate data from multiple sources or modalities, such as text, images, video, audio, and other sensory data, to produce more accurate and comprehensive outputs. Unlike traditional AI systems that focus on one modality (e.g., text or images), multimodal AI combines different data types to improve understanding and decision-making. How It Works: Multimodal AI systems combine information from various modalities (e.g., visual data + textual data) to process inputs. This can involve: Text: Natural language processing (NLP) to understand meaning. Images/Video: Computer vision techniques to analyze visual data. Audio: Speech [...]

What is Multimodal AI?2025-09-08T17:57:35+00:00

What is Responsible AI?

2025-09-08T15:20:00+00:00

Responsible AI is developing and deploying artificial intelligence (AI) systems that prioritize ethical, transparent, and fair practices while minimizing harm and ensuring accountability. Key Principles: Fairness: Avoid biases and discrimination in AI algorithms. Ensure equitable outcomes for all users. Transparency: Make AI decision-making processes transparent and understandable. Provide access to how AI models work and their limitations. Accountability: Assign responsibility for the outcomes of AI systems. Implement systems for auditing and monitoring AI performance. Privacy and Security: Protect user data privacy and ensure secure AI systems. Adhere to data protection regulations (e.g., GDPR) Inclusivity: Design AI systems that serve diverse [...]

What is Responsible AI?2025-09-08T15:20:00+00:00

What is Chain of Thought Prompting?

2025-08-31T16:52:13+00:00

A prompting technique in Large Language Models (LLMs) where the model is guided to show intermediate reasoning steps before arriving at the final answer. Inspired by how humans solve problems step by step. Helps LLMs handle complex reasoning tasks such as math, logic, and multi-step decision-making. Key Concepts Step-by-Step Reasoning: Instead of jumping to an answer, the model explains its thought process. Intermediate Steps: Similar to “showing work” in math problems. Better Accuracy: Effective in arithmetic, logical reasoning, and multi-hop questions. Prompt Example: “Let’s think step by step.” Benefits Improves reasoning accuracy. Makes the model’s output more interpretable. Reduces errors [...]

What is Chain of Thought Prompting?2025-08-31T16:52:13+00:00

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