Use AI for Innovation – Explore Tools and Functionalities in Azure OpenAI Service and Azure AI Search
Build practical skills in exploring Azure OpenAI Service and Azure AI Search for innovation, grounded answers, enterprise retrieval, evaluation, and responsible use through four structured lessons with demonstrations, hands-on activities, troubleshooting, validation checklists, and an applied improvement plan.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
This SkillDynamo course develops practical, role-relevant capability in exploring Azure OpenAI Service and Azure AI Search for innovation, grounded answers, enterprise retrieval, evaluation, and responsible use. 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 models, deployments, prompts, embeddings, indexes, retrieval, grounding, and enterprise AI scenarios
- Identify users, data sources, expected outputs, risks, access, and measurable innovation outcomes
- Create concise prompts and understand embeddings, chunking, vector search, semantic search, and hybrid retrieval
- Connect approved content while preserving metadata, access controls, relevance, and traceability
- Evaluate relevance, citations, completeness, hallucination risk, safety, privacy, and unauthorized data exposure
- Apply human review, responsible AI, data protection, transparency, and failure boundaries
- Compare proof-of-concept, pilot, production, monitoring, support, cost, and governance requirements
- Prioritize high-value use cases and define technical, security, data, and evaluation next steps
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.
Curriculum
- 1 Section
- 4 Lessons
- 1 Hour
- Course Curriculum4 Items
- 1.1Use AI for Innovation – Explore Tools and Functionalities in Azure OpenAI Service and Azure AI Search — Lesson 1: Azure OpenAI and AI Search Solution Concepts15 minutes
- 1.2Use AI for Innovation – Explore Tools and Functionalities in Azure OpenAI Service and Azure AI Search — Lesson 2: Prompting, Embeddings and Enterprise Retrieval15 minutes
- 1.3Use AI for Innovation – Explore Tools and Functionalities in Azure OpenAI Service and Azure AI Search — Lesson 3: Grounded Response Validation and Responsible AI15 minutes
- 1.4Use AI for Innovation – Explore Tools and Functionalities in Azure OpenAI Service and Azure AI Search — Lesson 4: Innovation Planning and Next-Step Architecture15 minutes
SkillDynamo Expert Team
SkillDynamo instructors combine platform knowledge, practical implementation experience, guided demonstrations, scenario-based exercises, troubleshooting methods, and validation checklists to help learners apply the course skills confidently in real work.
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