🗓️ 90-Day AI Learning Calendar (Senior → Architect Track)

🔹 DAYS 1–14 — Copilot Advanced Workflows

Goal: Think faster, review better, refactor smarter

Week 1

Mon–Tue

• Enable Copilot Chat in VS / VS Code
• Learn:
• Explain code
• Improve readability
• Find bugs

Wed–Thu

• Use Copilot for:
• Refactoring legacy methods
• Applying SOLID principles
• Prompt:
• “Refactor this for maintainability and performance”

Fri–Sat

• Use Copilot for:

  PR reviews
• Security checks
• Async & performance issues
• Measure time saved
• ✅ Checkpoint:

You trust Copilot as a senior assistant, not an autocomplete tool.

🔹 DAYS 15–21 — Prompt Engineering for Developers

Goal: Control AI output like you control code

Learn

• Role-based prompts
• Constraint-based prompts
• Critique & comparison prompts

Daily task

Create a Prompt Library:

• Code review prompt
• Architecture review prompt
• Test generation prompt
• Security audit prompt

Practice

• Re-run same code with different prompts
• Compare outputs

✅ Checkpoint:
You reuse prompts like reusable functions.

🔹 DAYS 22–42 — Azure OpenAI APIs (.NET)

Goal: Build AI features, not demos

Week 4

• Azure OpenAI basics
• Models & tokens
• Temperature, max tokens
• Cost awareness

Week 5

Build Project #1
👉 .NET Web API + Azure OpenAI

Features:

• REST endpoint
• AI response in JSON
• Retry + timeout handling
• Basic logging

Week 6

• Streaming responses
• Error handling
• Deploy to Azure App Service

✅ Checkpoint:
You can explain token cost, latency, and failure handling.

🔹 DAYS 43–63 — RAG Systems (CRITICAL)

Goal: Enterprise-grade AI (no hallucinations)

Week 7

• Embeddings & vectors
• Chunking strategies
• Why RAG works

Week 8

Build Project #2
👉 Document-based chatbot

Stack:

• Azure OpenAI (embeddings)
• Azure AI Search
• Blob Storage / SQL

Week 9

• Improve answer accuracy
• Add citations
• Reduce hallucinations

✅ Checkpoint:
You can explain how data flows through the system.

🔹 DAYS 64–90 — AI System Design & Security

Goal: Think like an architect (this gets promotions)

Week 10

• AI vs rule-based decisions
• Sync vs async AI calls
• Caching strategies

Week 11

• Prompt injection attacks
• PII handling
• Role-based AI access
• Logging & monitoring

Week 12 — CAPSTONE

Design an AI feature:

• Architecture diagram
• Cost estimation
• Security risks
• Fallback strategy

(Optional) Write a blog / LinkedIn post:

“How I built an enterprise RAG system in .NET & Azure”

✅ Final Outcome:
You can defend your AI design choices in interviews.

🎯 What You Become After 90 Days

You’re no longer:
❌ “Senior .NET Developer”

You are:
✅ AI-enabled Solution Architect
✅ Cloud + DevOps + AI Engineer
✅ Someone juniors & managers rely on