ChatGPT Copilots Using Azure OpenAI & Semantic Kernel

Course Description

SkillDynamo’s ChatGPT Copilots Using Azure OpenAI & Semantic Kernel course develops practical, role-relevant capability in building Azure OpenAI copilots with Semantic Kernel, prompts, plugins, memory, retrieval, orchestration, security, evaluation, and responsible AI. The learning path progresses from planning and essential concepts to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, instructor-led demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals build dependable skills, explain their decisions, identify failure points, and create an actionable improvement plan that can be applied to future projects.

What You Will Learn

• Identify Azure OpenAI models, deployments, endpoints, identity, quotas, and content safety
• Define users, tasks, knowledge, tools, conversation state, and solution boundaries
• Design prompt, retrieval, plugin, monitoring, and application layers
• Use kernels, prompt functions, native plugins, planners, and service configuration
• Manage chat history, context, variables, structured output, and tool invocation
• Implement dependency injection, configuration, error handling, and logging
• Prepare documents, embeddings, vector search, retrieval, and citation patterns
• Connect enterprise APIs, data, workflows, and approved tools

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.