.NET + AI Interview Prep
Scenario-based preparation for a .NET Core MVC + AI role — the questions interviewers actually ask, and how strong candidates answer them.
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1
How Tech Interviews Work
Rounds, formats, and how scenario answers are actually graded.
4 lessons
2
C# and Runtime Questions
The classic language and runtime questions — answered with depth on demand.
4 lessons
3
ASP.NET Core Scenarios
Middleware order, DI lifetimes, and request-pipeline scenario questions.
4 lessons
4
EF Core and Data Scenarios
Slow queries, tracking, transactions — the data scenarios interviewers ask about.
4 lessons
5
API and Integration Design
REST, resilience, queues, and webhooks — explaining integration design clearly.
4 lessons
6
Security Scenarios
AuthN/Z, OWASP walkthroughs, and protecting sensitive data — answered with confidence.
4 lessons
7
AI Integration Scenarios
Adding AI to a .NET app — the questions a .NET + AI posting will ask.
4 lessons
8
The AI System Design Round
Whiteboard designs: doc-QA, transcript analysis, copilots — with trade-offs.
4 lessons
9
Debugging and Ops Scenarios
Prod-is-down walkthroughs, performance hunts, and DevOps questions.
4 lessons
10
Behavioral and the Close
STAR stories, presenting your portfolio, and finishing strong.
4 lessons
11
The Public-Sector AI Architect Round
State-specific prep: California AI policy, responsible-AI and MLOps vocabulary, the credential-analysis design round, and working under a systems architect.
6 lessons
12
Gap Drills: The Mechanical Layer
How LLMs, embeddings, RAG, adaptation, injection defenses, classical ML, and evaluation actually work — the mechanical answers interviewers probe for.
9 lessons
13
The Vocabulary
Every term that scores: word, definition, the concept it lives in, and a ready-to-say usage line — drilled by concept area.
7 lessons
14
Answer Frames: The Categories
The big categories of AI practice — quick definition, what each involves, and the opener sentence that frames a scored answer.
5 lessons