Author
Gajendra Rai
Founder of Migo Mind and a practitioner focused on practical AI, Azure architecture, cloud engineering, automation, and career growth for IT professionals.
Published guides
Recent work
Build an Azure RAG project in 7 days
Build a portfolio-ready, citation-backed knowledge assistant with a seven-day plan for retrieval, grounding, evaluation, security, and documentation.
AI engineer skills checklist and self-assessment
Assess 20 practical AI engineering skills across software, AI applications, retrieval, agents, evaluation, and operations. Get a private, saved-on-device learning plan.
AI engineer roadmap for cloud professionals
A practical 12-week roadmap for turning cloud experience into production AI engineering skills, three portfolio projects, and credible career evidence.
AI-103 study roadmap with practical projects
Map the AI-103 objectives to an eight-week plan of Microsoft Foundry labs and portfolio-ready projects.
Build a production-minded RAG application on Azure
Design retrieval, citations, evaluation, and security for a useful Azure-based knowledge assistant.
MCP for Azure AI agents: when and how to use it
Understand Model Context Protocol, its role in agent tooling, and the decisions that matter in Azure deployments.
How to evaluate AI agents before production
Create an evidence-based evaluation loop for tool-using agents with quality, safety, latency, and cost measures.
Design an Azure landing zone for enterprise AI
A decision guide for subscriptions, identity, networking, policy, data boundaries, and observability in an AI platform.
A production prompt engineering checklist
Turn informal prompts into versioned, testable application assets with clear inputs, outputs, and failure behavior.