AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service

Course Description

This SkillDynamo course develops practical, role-relevant capability in developing generative-AI applications with Azure OpenAI through model deployment, prompt engineering, grounding, responsible AI, integration, and monitoring. 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 Azure OpenAI resources, supported model families, deployments, quotas, regions, endpoints, SDKs, and application patterns
• Configure secure access, identities, keys, networking, model deployment, parameters, token budgets, and development environments
• Create system and user prompts, few-shot examples, structured outputs, function or tool calls, and reusable prompt templates
• Evaluate accuracy, relevance, consistency, latency, cost, safety, hallucination, and prompt robustness with documented test cases
• Ground responses with enterprise data using embeddings, vector search, chunking, retrieval, citations, and context management
• Integrate generative AI into applications, workflows, APIs, chat experiences, and approved business processes
• Apply content filters, responsible-AI principles, privacy, data protection, human review, abuse prevention, and access controls
• Monitor tokens, latency, errors, content safety, quality, drift, costs, incidents, and continuous-improvement actions

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.