Mastering & Prepare for GitHub Copilot Certification Guide GH 300: Prepare for the GitHub Copilot Certification, include 120 practice Questions.
暫譯: 精通與準備 GitHub Copilot 認證指南 GH 300:準備 GitHub Copilot 認證,包含 120 道練習題。
Shah, Rashmi
- 出版商: Independently Published
- 出版日期: 2025-10-04
- 售價: $1,300
- 貴賓價: 9.5 折 $1,235
- 語言: 英文
- 頁數: 414
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798268391602
- ISBN-13: 9798268391602
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相關分類:
AI Coding
海外代購書籍(需單獨結帳)
相關主題
商品描述
Unlock the full potential of artificial intelligence in your coding workflow with 'Mastering GitHub Copilot.' This comprehensive guide, drawing insights from the GH-300 GitHub Copilot exam blueprint, is meticulously crafted for software developers, administrators, and project managers eager to leverage AI for enhanced productivity and innovation. Whether you're new to AI-assisted development or looking to optimize your existing Copilot usage, this book provides the foundational understanding and practical expertise you need to excel.
What You'll Discover:
Responsible AI & Ethical Development: Navigate the critical landscape of Responsible AI, understanding the limitations, risks, and ethical considerations of generative AI tools. Learn to validate AI outputs, mitigate potential harms, and operate within a framework of ethical AI practices, ensuring your AI-assisted development is both powerful and principled.
Comprehensive Copilot Plans & Features: Dive deep into the various GitHub Copilot plans - Individual, Business, and Enterprise - exploring their unique features, data handling policies, and billing structures. Master Copilot Chat, inline suggestions, and CLI functionalities, understanding how to trigger and optimize AI assistance across your IDE and development environment. Discover advanced features like organization-wide policy management, audit logs, and the power of Knowledge Bases in Copilot Enterprise for improved code quality and consistency.
The Inner Workings of GitHub Copilot: Gain a clear understanding of GitHub Copilot's data pipeline lifecycle, from context gathering and prompt building to the large language model's response generation and post-processing. Explore how Copilot handles your data, its inherent limitations, and the nuances of code suggestion relevance and age, providing you with a deeper appreciation of its capabilities.
Mastering Prompt Crafting & Engineering: Elevate your interaction with AI by mastering prompt crafting and engineering principles. Learn to determine context, utilize language options, understand zero-shot and few-shot prompting, and apply best practices to elicit the most effective and accurate code suggestions from GitHub Copilot, transforming your coding efficiency.
Real-World Developer Use Cases: Transform your software development lifecycle (SDLC) with practical applications of GitHub Copilot. Enhance productivity by accelerating learning new languages, translating code, writing documentation, generating sample data, debugging, and refactoring. Explore how Copilot supports unit testing, integration testing, and identifying edge cases, significantly improving code quality and security across your projects.
Privacy, Security & Configuration: Understand the critical aspects of data privacy, content exclusions, and safeguards within GitHub Copilot. Learn to configure settings, manage duplication detection, and leverage Copilot for identifying security vulnerabilities and optimizing performance. Troubleshoot common issues to ensure a seamless and secure AI-assisted coding experience.
This book is your indispensable resource for becoming a proficient GitHub Copilot user, enabling you to harness AI for smarter, faster, and more secure software development. It's designed not just to explain what GitHub Copilot does, but how to effectively integrate it into your daily workflow, ensuring you stay at the forefront of modern development practices.
For further resources, certification preparation, and the latest insights into AI-powered development, visit QuickTechie.com. Ideal for software developers, administrators, and project managers seeking to master GitHub Copilot and elevate their development capabilities.
商品描述(中文翻譯)
解鎖人工智慧在您的程式碼工作流程中的全部潛力,請參閱《精通 GitHub Copilot》。這本全面的指南根據 GH-300 GitHub Copilot 考試藍圖的見解精心編寫,專為希望利用 AI 提升生產力和創新能力的軟體開發人員、管理員和專案經理而設。無論您是 AI 輔助開發的新手,還是希望優化現有 Copilot 使用的專業人士,本書都提供了您所需的基礎理解和實用專業知識,幫助您卓越表現。
您將發現的內容:
- 負責任的 AI 與倫理開發:導航負責任的 AI 的關鍵領域,了解生成式 AI 工具的限制、風險和倫理考量。學習如何驗證 AI 輸出、減輕潛在危害,並在倫理 AI 實踐的框架內運作,確保您的 AI 輔助開發既強大又有原則。
- 全面的 Copilot 計畫與功能:深入探討各種 GitHub Copilot 計畫 - 個人、商業和企業 - 探索它們獨特的功能、數據處理政策和計費結構。掌握 Copilot Chat、內嵌建議和 CLI 功能,了解如何在您的 IDE 和開發環境中觸發和優化 AI 協助。發現像是組織範圍的政策管理、審計日誌以及 Copilot Enterprise 中知識庫的強大功能,以改善代碼質量和一致性。
- GitHub Copilot 的內部運作:清楚了解 GitHub Copilot 的數據管道生命週期,從上下文收集和提示構建到大型語言模型的回應生成和後處理。探索 Copilot 如何處理您的數據、其固有的限制,以及代碼建議的相關性和年齡的細微差別,讓您更深入地欣賞其能力。
- 精通提示創作與工程:通過掌握提示創作和工程原則來提升您與 AI 的互動。學習如何確定上下文、利用語言選項、理解零樣本和少樣本提示,並應用最佳實踐以從 GitHub Copilot 獲得最有效和準確的代碼建議,轉變您的編碼效率。
- 實際開發者使用案例:通過 GitHub Copilot 的實用應用改變您的軟體開發生命週期 (SDLC)。通過加速學習新語言、翻譯代碼、撰寫文檔、生成示例數據、除錯和重構來提升生產力。探索 Copilot 如何支持單元測試、整合測試和識別邊緣案例,顯著提高您專案的代碼質量和安全性。
- 隱私、安全性與配置:了解 GitHub Copilot 中數據隱私、內容排除和保護措施的關鍵方面。學習如何配置設置、管理重複檢測,並利用 Copilot 識別安全漏洞和優化性能。排除常見問題,以確保無縫且安全的 AI 輔助編碼體驗。
這本書是您成為熟練 GitHub Copilot 使用者的不可或缺的資源,使您能夠利用 AI 進行更智能、更快速和更安全的軟體開發。它不僅旨在解釋 GitHub Copilot 的 功能,還教您 如何 將其有效整合到您的日常工作流程中,確保您始終站在現代開發實踐的最前沿。
如需更多資源、認證準備和最新的 AI 驅動開發見解,請訪問 QuickTechie.com。本書非常適合希望精通 GitHub Copilot 並提升其開發能力的軟體開發人員、管理員和專案經理。