Tutorials ASP.NET Core with Agentic AI Tutorial

Enterprise AI Systems — Complete Guide

Enterprise AI Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ASP.NET Core with Agentic AI Tutorial on Toolliyo Academy.

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ASP.NET Core with Agentic AI Tutorial · Lesson 9 of 100

Enterprise AI Systems

AI basicsAgents

AI basics · 1 — Setup · ~6 min · Module 1: AI and Agentic AI Foundations

What is this?

Enterprise AI systems add tenancy, SSO, audit, quotas, and SLAs around models. AgentNest is built as that layer — not a demo chatbot — connecting CRM, ERP, hospital, and analytics modules under one security model.

Why should you care?

Buyers evaluate data residency, role-based access, and cost caps before enabling copilots on production customer data.

See it live — copy this example

Paste into an ASP.NET Core 8+ / AgentNest project, then run with dotnet run (set your API keys in user-secrets).

// AgentNest.Api/Tenancy/TenantAiContext.cs
public sealed record TenantAiContext(
    string TenantId,
    string ModelDeployment,
    int MonthlyTokenQuota,
    IReadOnlySet<string> AllowedPlugins);

public interface ITenantAiContextAccessor
{
    TenantAiContext Current { get; }
}

What happened?

  • TenantAiContext bundles per-tenant model choice, spend limits, and plugin allow lists.
  • Middleware resolves it from JWT claims before any agent executes.

Practice next

  1. Add TenantAiContext and resolve it in middleware from auth claims.
  2. Store quotas in SQL and decrement in a delegating IChatClient wrapper.
  3. Map AllowedPlugins to Semantic Kernel plugin registration filters.
  4. Add DataRegion to TenantAiContext for EU-only Azure deployments.
  5. Return 429 with Retry-After when MonthlyTokenQuota is exceeded.

Remember

Enterprise AI wraps models with tenant context and policy. AgentNest gates plugins and deployments per customer. Quotas and audit trails are first-class, not afterthoughts.

Multi-tenant SaaS launch

AgentNest sells CRM copilot to 200 tenants on one cluster.

Outcome: TenantAiContext enforces plugin boundaries and token budgets without separate deployments per customer.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain Concepts in the context of ASP.NET Core with Agentic AI.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…
Mid Detailed
What are common mistakes teams make with LLMs when using ASP.NET Core with Agentic AI?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…
Senior Detailed
How would you debug a production issue related to RAG in a ASP.NET Core with Agentic AI application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…
Junior Detailed
Describe a real-world scenario where Production mattered in a ASP.NET Core with Agentic AI project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…
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ASP.NET Core with Agentic AI Tutorial
Course syllabus

ASP.NET Core with Agentic AI Tutorial

Module 1: AI and Agentic AI Foundations
Module 2: ASP.NET Core AI Fundamentals
Module 3: Semantic Kernel
Module 4: AI Agents and Multi-Agent Systems
Module 5: RAG and Vector Databases
Module 6: AI Security and Observability
Module 7: Cloud-Native AI and DevOps
Module 8: AI SaaS and Enterprise Systems
Module 9: AI System Design and Architecture
Module 10: Enterprise AI Projects
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