GitHub Copilot (GH-300T00)
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- Locatie
- Op locatie
- Startdatum en plaats
GitHub Copilot (GH-300T00)
Opleiderscore:
Startdata en plaatsen
placeUtrecht 4 mei. 2026Toon rooster event 4 mei 2026, 09:00-17:00, Utrecht |
placeUtrecht 25 sep. 2026Toon rooster event 25 september 2026, 09:00-17:00, Utrecht |
placeUtrecht 4 dec. 2026Toon rooster event 4 december 2026, 09:00-17:00, Utrecht |
Beschrijving
This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating p...
- Responsible AI with GitHub Copilot
- Introduction to GitHub Copilot
- Introduction to prompt engineering with GitHub Copilot
- Using advanced GitHub Copilot features
- GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques
- Management and customization considerations with GitHub Copilot
- Developer use cases for AI with GitHub Copilot
- Develop unit tests using GitHub Copilot tools
- Introduction to GitHub Copilot Business
- Introduction to GitHub Copilot Enterprise
- Usi…
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating p...
- Responsible AI with GitHub Copilot
- Introduction to GitHub Copilot
- Introduction to prompt engineering with GitHub Copilot
- Using advanced GitHub Copilot features
- GitHub Copilot Across Environments: IDE, Chat, and Command Line
Techniques
- Management and customization considerations with GitHub
Copilot
- Developer use cases for AI with GitHub Copilot
- Develop unit tests using GitHub Copilot tools
- Introduction to GitHub Copilot Business
- Introduction to GitHub Copilot Enterprise
- Using GitHub Copilot with JavaScript
- Using GitHub Copilot with Python
- 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 Regula...
Fast Lane werkt met Nederlandse trainers die didactische vaardigheden combineren met veel practische ervaring.
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Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.