DW-201: Building and Modernizing AI Apps on Azure

Course Description

This SkillDynamo course develops practical, role-relevant capability in building and modernizing Azure AI applications with app architecture, Azure OpenAI, search, grounding, agents, integration, identity, security, observability, deployment, evaluation, and responsible AI. 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. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Explain and apply ai app architecture, azure services and modernization planning within a practical DW-201: Building and Modernizing AI Apps on Azure scenario
• Validate ai app architecture, azure services and modernization planning decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
• Explain and apply azure openai, grounding, search and application patterns within a practical DW-201: Building and Modernizing AI Apps on Azure scenario
• Validate azure openai, grounding, search and application patterns decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
• Explain and apply agents, tools, apis, data and enterprise integration within a practical DW-201: Building and Modernizing AI Apps on Azure scenario
• Validate agents, tools, apis, data and enterprise integration decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
• Explain and apply security, evaluation, observability and production deployment within a practical DW-201: Building and Modernizing AI Apps on Azure scenario
• Validate security, evaluation, observability and production deployment decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes

SkillDynamo Training Approach

SkillDynamo delivers this course through 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, and communication so the skills transfer confidently into real workplace situations.