Mastering Azure AI & Agentic AI
Build practical capability in building Azure AI and agentic AI solutions through language, vision, document intelligence, generative AI, prompt engineering, retrieval, Azure AI Foundry, tools, agents, orchestration, multi-agent patterns, safety, security, monitoring, cost, and governance through…
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Mastering Azure AI & Agentic AI course develops practical, role-relevant capability in building Azure AI and agentic AI solutions through language, vision, document intelligence, generative AI, prompt engineering, retrieval, Azure AI Foundry, tools, agents, orchestration, multi-agent patterns, safety, security, monitoring, cost, and governance. 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 services, language, vision, document intelligence, data readiness, and responsible ai within Mastering Azure AI & Agentic AI
- Configure, validate, and troubleshoot azure ai services, language, vision, document intelligence, data readiness, and responsible ai using security, quality, governance, and operational controls
- Explain and apply generative ai, prompt engineering, retrieval-augmented generation, evaluation, and cost optimization within Mastering Azure AI & Agentic AI
- Configure, validate, and troubleshoot generative ai, prompt engineering, retrieval-augmented generation, evaluation, and cost optimization using security, quality, governance, and operational controls
- Explain and apply azure ai foundry, agent tools, memory, actions, orchestration, and multi-agent solution design within Mastering Azure AI & Agentic AI
- Configure, validate, and troubleshoot azure ai foundry, agent tools, memory, actions, orchestration, and multi-agent solution design using security, quality, governance, and operational controls
- Explain and apply safety, security, monitoring, governance, troubleshooting, deployment, and production validation within Mastering Azure AI & Agentic AI
- Configure, validate, and troubleshoot safety, security, monitoring, governance, troubleshooting, deployment, and production validation using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this Mastering Azure AI & Agentic AI 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
- 1.1Mastering Azure AI & Agentic AI — Lesson 1: Azure AI Services, Language, Vision, Document Intelligence, Data Readiness, and Responsible AI480 Minutes
- 1.2Mastering Azure AI & Agentic AI — Lesson 2: Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Evaluation, and Cost Optimization480 Minutes
- 1.3Mastering Azure AI & Agentic AI — Lesson 3: Azure AI Foundry, Agent Tools, Memory, Actions, Orchestration, and Multi-Agent Solution Design480 Minutes
- 1.4Mastering Azure AI & Agentic AI — Lesson 4: Safety, Security, Monitoring, Governance, Troubleshooting, Deployment, and Production Validation480 Minutes
SkillDynamo Expert Team
Instructor-led delivery focused on Mastering Azure AI & Agentic AI 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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