svaza

Solution Architect Roadmap (Azure + Microservices/DDD + Interview-Ready)

0) North Star: What “Good SA” Means

• You can design systems with explicit trade-offs (security, reliability, cost, delivery speed).
• You can operate what you design (monitor, debug, recover, reduce MTTR).
• You can communicate decisions (diagrams + ADRs + risks/options) across product/engineering/platform.

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1) Core SA Muscles (T-shaped)

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Principal Engineer → Solution Architect: Skills Map + Upgrade Plan

Goal: standardize how you think, communicate, and de-risk architecture so you can drive bigger outcomes with less friction.

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1) Core architect skill stack (what you should be strong at)

A) Architecture communication (where most architects fail)

If you can’t communicate the design, you don’t have a design.

svaza

🗺️ Roadmap: Principal Engineer to Azure Solution Architect (2026-2027)

Current Role: Principal Engineer (App/Dev Focus)
Target Role: Enterprise/Platform Architect (Infrastructure, Governance & Strategy Focus)
Core Philosophy: "Mechanics over Magic." Shift focus from building code to governing the ecosystem.

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📚 Phase 0: Foundations & The "Architect's Mindset"

This runs continuously alongside the technical phases.

svaza

6-Month Roadmap — Expert in RAG & Enterprise LLM Solutions (Azure + on‑prem)

https://www.louisbouchard.ai/from-zero-to-hero-with-llms/

Goal: Design, build, secure, and operate production-grade RAG systems integrating enterprise data, using vector DBs, and applying adapters as needed.

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Month 0 — Foundations (1–2 weeks)

Outcome: Understand LLM fundamentals, embeddings, chunking, RAG architecture, and prompt basics.

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🎯 Minimalist AI/ML Learning Plan for Principal Software Engineers & Architects

This curated list focuses on essential AI/ML knowledge to help you architect, lead, and guide AI/ML initiatives, without going deep into model-building.

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🧠 1. Understand AI at a Strategic Level

✅ AI for Everyone – Andrew Ng (Coursera)

• Platform: Coursera

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🎯 Azure Architect Expert Roadmap (Enhanced with Relevant Courses)

Objective

Become proficient in designing, implementing, and managing solutions on Microsoft Azure, focusing on both enterprise architecture and cloud infrastructure.

Prerequisites:

• Strong background in cloud computing concepts.
• Experience in software development, especially with .NET technologies.
• Knowledge of networking, security, and storage concepts.

svaza

.NET Solution Architect - In-Depth Learning Roadmap

Phase 1: Core Technical Expertise

1. .NET Fundamentals & Advanced Concepts

• ✅ C# 12, LINQ, Async Programming, Memory Management
• ✅ .NET Core & .NET 8 (ASP.NET Core, API development, Dependency Injection)
• ✅ Clean Code, SOLID Principles, Design Patterns

📚 Courses:

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ML Starter Roadmap for a .NET & Azure Developer

🎯 Goal:

To understand core ML concepts, build simple models, and integrate them with .NET & Azure.

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Phase 1: ML Fundamentals Without the Overhead (Month 1)

1️⃣ Basics of ML & AI

• Machine Learning Specialization by Andrew Ng (Course 1: Supervised ML)

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🎯 Generative AI Roadmap for Intelligent Application Development (With Azure Integration)

Objective

Leverage Generative AI and pre-trained ML models using APIs/SDKs (OpenAI, Azure, HuggingFace, etc.) to:

• Build intelligent business apps
• Solve real-world problems
• Integrate AI features into existing backends

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svaza

public class Solution {
  public int EdgeScore(int[] edges) {
    long[] deg = new long[edges.Length];
    long max = -1;
    for(int i = 0; i < edges.Length; i++)
    {
      deg[edges[i]]+=i;
      max = Math.Max(max, deg[edges[i]]);
    }