Azure AI Foundry + Agents + GitHub
Build practical capability in building generative AI applications and agents with Azure AI Foundry and GitHub through model selection, prompt engineering, retrieval, tools, multi-agent workflows, GitHub Copilot, Agentic DevOps, evaluation, deployment, security, and operations through four…
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Azure AI Foundry + Agents + GitHub course develops practical, role-relevant capability in building generative AI applications and agents with Azure AI Foundry and GitHub through model selection, prompt engineering, retrieval, tools, multi-agent workflows, GitHub Copilot, Agentic DevOps, evaluation, deployment, security, and operations. 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, secure working practices, and measurable outcomes.
The content is independently written for SkillDynamo using the supplied source page as the title, update-date, duration, and topic-alignment reference. Learners finish with an applied scenario, documented validation evidence, and a prioritized improvement plan.
What You Will Learn
- Explain and apply azure ai foundry, models, projects, prompt engineering, and application planning within Azure AI Foundry + Agents + GitHub
- Configure, validate, and troubleshoot azure ai foundry, models, projects, prompt engineering, and application planning using security, quality, governance, and operational controls
- Explain and apply agents, tools, retrieval, memory, multi-agent design, and orchestration within Azure AI Foundry + Agents + GitHub
- Configure, validate, and troubleshoot agents, tools, retrieval, memory, multi-agent design, and orchestration using security, quality, governance, and operational controls
- Explain and apply github copilot, agentic devops, repositories, automation, and delivery workflows within Azure AI Foundry + Agents + GitHub
- Configure, validate, and troubleshoot github copilot, agentic devops, repositories, automation, and delivery workflows using security, quality, governance, and operational controls
- Explain and apply evaluation, security, deployment, monitoring, cost, and operational improvement within Azure AI Foundry + Agents + GitHub
- Configure, validate, and troubleshoot evaluation, security, deployment, monitoring, cost, and operational improvement using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this Azure AI Foundry + Agents + GitHub course through instructor-led demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, documentation, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
- Course Curriculum4 Items
- 1.1Azure AI Foundry + Agents + GitHub — Lesson 1: Azure AI Foundry, Models, Projects, Prompt Engineering, and Application Planning360 Minutes
- 1.2Azure AI Foundry + Agents + GitHub — Lesson 2: Agents, Tools, Retrieval, Memory, Multi-Agent Design, and Orchestration360 Minutes
- 1.3Azure AI Foundry + Agents + GitHub — Lesson 3: GitHub Copilot, Agentic DevOps, Repositories, Automation, and Delivery Workflows360 Minutes
- 1.4Azure AI Foundry + Agents + GitHub — Lesson 4: Evaluation, Security, Deployment, Monitoring, Cost, and Operational Improvement360 Minutes
SkillDynamo Expert Team
Instructor-led delivery focused on Azure AI Foundry + Agents + GitHub with practical demonstrations, guided implementation, scenario analysis, validation, troubleshooting, and role-relevant improvement planning.
- Structured explanations and course-specific demonstrations
- Hands-on exercises, solution reviews, and evidence-based validation
- Security, governance, troubleshooting, and workplace transfer guidance
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