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GH-300 : GitHub Copilot - complete exam preparation guide.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
Voroniuk, Anton, instructor.
Vasyliev, Dmytro, instructor.
Packt Publishing, publisher.
Language:
English
Subjects (All):
GitHub Copilot.
Computer software--Development--Certification.
Computer software.
Computer software--Development--Examinations--Study guides.
Artificial intelligence--Computer programs--Certification.
Artificial intelligence.
Artificial intelligence--Computer programs--Examinations--Study guides.
Physical Description:
1 online resource (1 video file (7 hr., 12 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Birmingham, United Kingdom] : Packt Publishing, 2026.
Summary:
In this 6-hour course, you will explore AI-assisted development using GitHub Copilot. Learn responsible AI principles, ethical practices, privacy, and governance while enhancing coding productivity, automation, testing, and workflows through practical applications. What I will be able to do after this course Understand responsible AI principles and governance practices Configure GitHub Copilot for productive development workflows Apply prompt engineering techniques for accurate AI responses Generate tests, documentation, and automation workflows with AI Build AI-assisted applications using GitHub Copilot effectively Course Instructor(s) Anton Voroniuk is a Google Academy Trainer and AI enthusiast with 17 years of experience. He has trained over 1,000,000 students and specializes in AI-driven marketing. As a Google Cloud Certified Generative AI Leader, he applies advanced AI tools and founded SkillsBooster Academy to empower professionals. Who is it for? This course is for developers, DevOps engineers, and beginners exploring AI-assisted coding with GitHub Copilot. It suits teams adopting responsible AI and secure development practices. Basic programming knowledge and familiarity with Visual Studio Code are recommended.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9781808086052
OCLC:
1593463959

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