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SKU/Artículo: AMZ-B0GL9KLM94
Study Guide for GitHub Copilot Certification (Exam GH-300): Master Prompt Engineering, Copilot Features, and AI-Powered Coding (GitHub Certifications Exams)
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.36 kg
0.36 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- Responsible AI & Governance: Master the legal, ethical, and operational frameworks required to deploy AI tools safely in enterprise environments.
- GitHub Copilot Ecosystem: Distinguish between Individual, Business, and Enterprise plans, including seat management and policy enforcement.
- Workflow Optimization: Learn to integrate Copilot across VS Code, JetBrains, and the CLI to accelerate coding, testing, and debugging tasks.
- Advanced Prompt Engineering: Techniques for zero-shot and few-shot prompting, context management, and guiding the AI to generate secure, high-quality code.
- Enterprise Administration: Configure "Copilot Enterprise" features, including knowledge bases, custom models, and PR summarization.
- Security & Compliance: Deep dive into content exclusions, duplication detection, audit logging, and intellectual property protections.
- Troubleshooting & Architecture: Understand the data flow of code suggestions, how to debug missing context, and how to optimize latency.
- Responsible Usage of AI and Limitations
- Ethical and Responsible Operations
- GitHub Copilot in the IDE
- GitHub Copilot Individual and Business
- Organization and Policy Management
- GitHub Copilot Chat
- GitHub Copilot Enterprise
- GitHub Copilot CLI
- Copilot Code Suggestion Lifecycle
- Data Handling and Flow
- Limitations and Model Behavior
- Fundamentals of Prompt Crafting
- Prompt Engineering Principles
- Enhancing Developer Productivity
- Copilot in SDLC and Productivity APIs
- SKUs and Configuration
- Improving Test Quality and Assertions
- Security and Performance Enhancements
- Content Exclusions and Ownership
- Safeguards and Security Settings
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