GitHub Copilot (GH-300T00)

Total time

GitHub Copilot (GH-300T00)

Fast Lane Institute for Knowledge Transfer GmbH
Logo Fast Lane Institute for Knowledge Transfer GmbH
Provider rating: starstarstarstarstar_half 8.9 Fast Lane Institute for Knowledge Transfer GmbH has an average rating of 8.9 (out of 33 reviews)

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Description

Kursinhalt

  • Verantwortungsvolle KI mit GitHub Copilot
  • Einführung in GitHub Copilot
  • Einführung in das Prompt Engineering mit GitHub Copilot
  • Erweiterte GitHub Copilot-Features
  • GitHub Copilot in verschiedenen Umgebungen: IDE-, Chat- und Befehlszeilentechniken
  • Verwaltungs- und Anpassungsaspekte mit GitHub Copilot
  • Anwendungsfälle für Entwickler für KI mit GitHub Copilot
  • Entwickeln von Komponententests mithilfe von GitHub Copilot-Tools
  • Einführung in GitHub Copilot Business
  • Einführung in GitHub Copilot Enterprise
  • Verwenden von GitHub Copilot mit JavaScript
  • Verwenden von GitHub Copilot mit Python

Zielgruppe

  • AI Developers and Engineers: Professionals involved in creating and deploying AI systems…

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Frequently asked questions

There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.

Kursinhalt

  • Verantwortungsvolle KI mit GitHub Copilot
  • Einführung in GitHub Copilot
  • Einführung in das Prompt Engineering mit GitHub Copilot
  • Erweiterte GitHub Copilot-Features
  • GitHub Copilot in verschiedenen Umgebungen: IDE-, Chat- und Befehlszeilentechniken
  • Verwaltungs- und Anpassungsaspekte mit GitHub Copilot
  • Anwendungsfälle für Entwickler für KI mit GitHub Copilot
  • Entwickeln von Komponententests mithilfe von GitHub Copilot-Tools
  • Einführung in GitHub Copilot Business
  • Einführung in GitHub Copilot Enterprise
  • Verwenden von GitHub Copilot mit JavaScript
  • Verwenden von GitHub Copilot mit Python

Zielgruppe

  • AI Developers and Engineers: Professionals involved in creating and deploying AI systems who need to understand the ethical implications and governance frameworks.
  • Data Scientists and Analysts: Individuals who work with data and AI models, focusing on ensuring transparency, fairness, and accountability in their work.
  • Business Leaders and Managers: Decision-makers who oversee AI projects and need to implement responsible AI practices within their organizations.
  • Policy Makers and Regulators: Those responsible for creating policies and regulations around AI usage, ensuring that AI systems are developed and used ethically and safely.
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    There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.