Introduction to Azure OpenAI and GitHub Copilot for End Users
Build practical capability in Azure OpenAI and GitHub Copilot concepts, prompting, responsible AI, end-user productivity, code assistance, verification, privacy, security, and adoption through four structured lessons with guided exercises, troubleshooting, validation, and workplace scenarios.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Introduction to Azure OpenAI and GitHub Copilot for End Users course develops practical, role-relevant capability in Azure OpenAI and GitHub Copilot concepts, prompting, responsible AI, end-user productivity, code assistance, verification, privacy, security, and adoption. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.
Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.
The content is independently written for SkillDynamo using the supplied source page as the title, update-date, and topic-alignment reference. Learners finish with an applied scenario and a prioritized improvement plan.
What You Will Learn
- Explain and apply azure openai, github copilot, generative ai, and readiness within Introduction to Azure OpenAI and GitHub Copilot for End Users
- Configure, validate, and troubleshoot azure openai, github copilot, generative ai, and readiness using security, quality, governance, and operational controls
- Explain and apply prompting, content creation, code assistance, and productivity within Introduction to Azure OpenAI and GitHub Copilot for End Users
- Configure, validate, and troubleshoot prompting, content creation, code assistance, and productivity using security, quality, governance, and operational controls
- Explain and apply verification, privacy, security, responsible ai, and limits within Introduction to Azure OpenAI and GitHub Copilot for End Users
- Configure, validate, and troubleshoot verification, privacy, security, responsible ai, and limits using security, quality, governance, and operational controls
- Explain and apply practical workflows, adoption, measurement, and improvement within Introduction to Azure OpenAI and GitHub Copilot for End Users
- Configure, validate, and troubleshoot practical workflows, adoption, measurement, and improvement using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this Introduction to Azure OpenAI and GitHub Copilot for End Users course through instructor-led demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, evidence-based reviews, and a final improvement plan linked to practical workplace outcomes.
Curriculum
- 1 Section
- 4 Lessons
- 8 Hours
- Course Curriculum4 Items
- 1.1Introduction to Azure OpenAI and GitHub Copilot for End Users — Lesson 1: Azure OpenAI, GitHub Copilot, Generative AI, and Readiness2 hours
- 1.2Introduction to Azure OpenAI and GitHub Copilot for End Users — Lesson 2: Prompting, Content Creation, Code Assistance, and Productivity2 hours
- 1.3Introduction to Azure OpenAI and GitHub Copilot for End Users — Lesson 3: Verification, Privacy, Security, Responsible AI, and Limits2 hours
- 1.4Introduction to Azure OpenAI and GitHub Copilot for End Users — Lesson 4: Practical Workflows, Adoption, Measurement, and Improvement2 hours
SkillDynamo Expert Team
SkillDynamo instructors combine platform knowledge with practical demonstrations, hands-on activities, scenario analysis, structured troubleshooting, validation checklists, and workplace-focused improvement planning.
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