Multi platform Conversational AI Development

Course Description

SkillDynamo’s Multi platform Conversational AI Development course develops practical, role-relevant capability in developing conversational AI experiences across Azure OpenAI, Microsoft Copilot Studio, Amazon Lex, Google agent platforms, APIs, and responsible governance. 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

• Explain language models, intents, entities, context, grounding, tools, and conversation state
• Design prompts, system instructions, examples, guardrails, and evaluation criteria
• Map users, channels, knowledge, actions, privacy, and escalation requirements
• Build grounded conversational experiences with Azure OpenAI patterns
• Create Copilot Studio topics, generative answers, variables, actions, and authentication
• Integrate Microsoft data and workflows with human handoff
• Create intents, slots, fulfillment, prompts, contexts, and fallback patterns
• Connect agents to APIs, functions, data stores, and approved knowledge

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.