Tutorials ASP.NET Core with Agentic AI Tutorial

Docker for AI — Complete Guide

Docker for AI — 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 61 of 100

Docker for AI

AI basics ✓Agents

Agents · 2 — Build · ~10 min · Module 7: Cloud-Native AI and DevOps

What is this?

Docker packages AgentNest API, workers, and local Qdrant into reproducible containers. Dockerfiles pin .NET 8 runtime and bake in health checks for model-dependent services.

Why should you care?

Dev, CI, and staging must run identical AI stacks — mismatched SK versions cause works-on-my-machine agent failures.

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/Dockerfile
FROM mcr.microsoft.com/dotnet/aspnet:8.0 AS base
WORKDIR /app
EXPOSE 8080
FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
WORKDIR /src
COPY . .
RUN dotnet publish AgentNest.Api/AgentNest.Api.csproj -c Release -o /app/publish
FROM base
COPY --from=build /app/publish .
HEALTHCHECK CMD curl -f http://localhost:8080/health/ready || exit 1
ENTRYPOINT ["dotnet", "AgentNest.Api.dll"]

What happened?

  • Multi-stage build publishes Release output on ASP.NET 8 runtime with /health/ready probe for orchestrators.
  • Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

  1. Add Dockerfile to AgentNest.Api project.
  2. docker build -t agentnest-api:local .
  3. Pass OpenAI keys via docker run -e or compose secrets.
  4. Add non-root USER in final stage.
  5. Mount appsettings via Docker config for local Qdrant URL.

Remember

Containerize AgentNest API on aspnet:8.0 runtime. Use multi-stage builds and health checks. Inject secrets at runtime, never COPY into image.

Consistent agent CI

CI pipeline runs integration tests against containerized API and Qdrant.

Outcome: Same Docker image promotes from test to staging with unchanged SK dependencies.

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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