AI & LLMOps Mastery with Azure
Build practical capability in designing, deploying, evaluating, monitoring, and governing generative AI and LLM solutions on Azure through model operations, prompt and data pipelines, retrieval, automation, observability, security, cost, reliability, and continuous improvement through four…
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s AI & LLMOps Mastery with Azure course develops practical, role-relevant capability in designing, deploying, evaluating, monitoring, and governing generative AI and LLM solutions on Azure through model operations, prompt and data pipelines, retrieval, automation, observability, security, cost, reliability, and continuous improvement. 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 architecture, model lifecycle, responsible ai, and llmops foundations within AI & LLMOps Mastery with Azure
- Configure, validate, and troubleshoot azure ai architecture, model lifecycle, responsible ai, and llmops foundations using security, quality, governance, and operational controls
- Explain and apply prompt, data, retrieval, evaluation, versioning, and experiment workflows within AI & LLMOps Mastery with Azure
- Configure, validate, and troubleshoot prompt, data, retrieval, evaluation, versioning, and experiment workflows using security, quality, governance, and operational controls
- Explain and apply deployment, automation, ci/cd, security, observability, and incident handling within AI & LLMOps Mastery with Azure
- Configure, validate, and troubleshoot deployment, automation, ci/cd, security, observability, and incident handling using security, quality, governance, and operational controls
- Explain and apply performance, cost, reliability, governance, troubleshooting, and improvement within AI & LLMOps Mastery with Azure
- Configure, validate, and troubleshoot performance, cost, reliability, governance, troubleshooting, and improvement using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this AI & LLMOps Mastery with Azure 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
- 32 Hours
- Course Curriculum4 Items
- 1.1AI & LLMOps Mastery with Azure — Lesson 1: Azure AI Architecture, Model Lifecycle, Responsible AI, and LLMOps Foundations480 Minutes
- 1.2AI & LLMOps Mastery with Azure — Lesson 2: Prompt, Data, Retrieval, Evaluation, Versioning, and Experiment Workflows480 Minutes
- 1.3AI & LLMOps Mastery with Azure — Lesson 3: Deployment, Automation, CI/CD, Security, Observability, and Incident Handling480 Minutes
- 1.4AI & LLMOps Mastery with Azure — Lesson 4: Performance, Cost, Reliability, Governance, Troubleshooting, and Improvement480 Minutes
SkillDynamo Expert Team
Instructor-led delivery focused on AI & LLMOps Mastery with Azure 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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