About the Instructor
Microsoft Learn
Official Microsoft documentation maintained by the Azure AI team. Semantic Kernel is used by Fortune 500 companies integrating AI into .NET and Python enterprise applications.
First Principles
Enterprise apps need AI as a module, not a replacement. Semantic Kernel adds an AI orchestration layer on top of existing code. Plugins wrap existing functions; the planner decides which to call.
AI Ecosystem Fit
Layer 5 (Applications) — Semantic Kernel is purpose-built for enterprise integration. Where LangChain is startup-friendly, SK targets large organizations with existing .NET infrastructure.
Prerequisites
What Paid Projects This Unlocks
Build enterprise-grade agents: plug LLMs into .NET/Python apps, auto-plan multi-step tasks, connect to enterprise data sources.
3 Client Projects You Can Get Paid For
Real businesses have this problem right now. Build it, pitch it, charge for it.
Stack This With → (Unlocks Higher-Paying Projects)
Deploy on Azure AI Foundry
Integrate with Microsoft 365 and SharePoint
Add observability with Azure Monitor
Why This Matters
Enterprises pay 10x more than startups. Knowing how to integrate AI into existing .NET/Python enterprise systems unlocks high-value contracts.