OpenAI/ChatGPT Embedding and Development Within Microsoft (AI-900 & AI-102)
Build practical skills in building Microsoft AI solutions that embed Azure OpenAI and ChatGPT capabilities with responsible design, development, security, evaluation, and operations 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 building Microsoft AI solutions that embed Azure OpenAI and ChatGPT capabilities with responsible design, development, security, evaluation, and operations. 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 machine learning, computer vision, language, generative AI, Azure AI services, and responsible AI
- Translate business requirements into models, data, endpoints, identities, networks, risks, and measurable outcomes
- Use models, deployments, system instructions, prompts, parameters, structured output, embeddings, and retrieval
- Ground responses with approved enterprise data and validate relevance, citations, permissions, and limits
- Integrate Azure OpenAI through APIs and SDKs with state, tools, errors, retries, content filtering, and telemetry
- Protect secrets, identities, data, network access, prompts, outputs, and human approval points
- Evaluate quality, groundedness, safety, robustness, latency, cost, accessibility, and business outcomes
- Plan deployment, monitoring, versioning, red-teaming, incident response, rollback, support, and improvement
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
- 32 Hours
- Course Curriculum4 Items
- 1.1OpenAI/ChatGPT Embedding and Development Within Microsoft (AI-900 & AI-102) — Lesson 1: Azure AI Fundamentals and Solution Architecture8 hours
- 1.2OpenAI/ChatGPT Embedding and Development Within Microsoft (AI-900 & AI-102) — Lesson 2: Azure OpenAI, Prompting and Grounding8 hours
- 1.3OpenAI/ChatGPT Embedding and Development Within Microsoft (AI-900 & AI-102) — Lesson 3: Application Development, Security and Integration8 hours
- 1.4OpenAI/ChatGPT Embedding and Development Within Microsoft (AI-900 & AI-102) — Lesson 4: Evaluation, Deployment and Responsible Operations8 hours
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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