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NEPCODER

Align Your Code, Align Your Mind.

A learning platform for .NET developers. Every concept is demonstrated in C#, with cost, evaluation and failure modes treated as first-class.

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Track

AI Engineering for .NET

Nine courses from how a language model behaves to running agents and retrieval on Azure — every concept demonstrated in .NET, with cost, evaluation and failure modes treated as first-class.

9 courses

Courses in AI Engineering for .NET

  1. Course 1

    AI Fundamentals

    How language models actually behave, assuming no prior AI knowledge. The prerequisite for everything else in the track.

    6 lessons

    beginner6 lessons · 90 min

  2. Course 2

    Prompt Engineering

    System versus user prompts, few-shot examples, structured output, evaluation and prompt versioning — treated as code, not folklore.

    • Requires: AI Fundamentals
    beginnerComing soon

  3. Course 3

    Embeddings & Vector Databases

    Vector representation, similarity, chunking, indexing, and how to choose a store you will not regret.

    • Requires: AI Fundamentals
    intermediateComing soon

  4. Course 4

    RAG

    Retrieval pipelines end to end: chunking strategy, re-ranking, grounding, citation, and measuring whether any of it helped.

    • Requires: Embeddings & Vector Databases
    • Suggested: Prompt Engineering
    intermediateComing soon

  5. Course 5

    Semantic Kernel

    Kernels, plugins, planners and memory — Microsoft’s orchestration layer, in idiomatic .NET.

    • Requires: Prompt Engineering
    • Suggested: RAG
    intermediateComing soon

  6. Course 6

    Microsoft Agent Framework

    Agent primitives, tools, state and multi-agent coordination on Microsoft’s framework.

    • Requires: Semantic Kernel
    advancedComing soon

  7. Course 7

    MCP (Model Context Protocol)

    Protocol design, building servers and clients in C#, and exposing tools that other people’s agents can call safely.

    • Requires: Prompt Engineering
    • Suggested: Semantic Kernel
    advancedComing soon

  8. Course 8

    AI Agents

    Patterns, tool use, planning loops, guardrails, evaluation and the failure modes nobody demos.

    • Requires: Microsoft Agent Framework
    • Suggested: RAG
    advancedComing soon

  9. Course 9

    Azure AI

    Azure OpenAI and AI Search in production: deployment, quotas, cost control and monitoring.

    • Requires: AI Fundamentals
    • Suggested: RAG
    advancedComing soon