Career lab
Build a career story supported by real technical evidence.
Move from scattered learning to a target role, a focused plan, credible projects, and better technical conversations.
The Migo method
Four moves from interest to opportunity.
Choose a target role
Define the work, seniority, and evidence expected before choosing courses.
Map the skill gaps
Separate foundational gaps from platform skills and interview preparation.
Build proof
Create three case studies with architecture, code, trade-offs, security, and cost.
Practice the story
Explain requirements, decisions, failures, and outcomes in clear business language.
The three-project portfolio
A focused portfolio should show that you can establish a cloud foundation, build an AI workload, and operate it responsibly.
- 01Secure Azure AI landing zone with infrastructure as code
- 02Grounded knowledge assistant with retrieval and evaluation
- 03Tool-using agent with approvals, monitoring, and a release pipeline
Interview preparation
Practice 8 role tracks and 108 questions.
Explore 64 role-specific scenarios and 44 questions in the searchable technical library, covering FDE, DevOps, Azure AI, CI/CD, infrastructure as code, data pipelines, and architecture.
Career guides
Turn preparation into evidence.
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.
Azure networking interview questions that test judgment
Practice explaining Azure connectivity, private endpoint DNS, hub-spoke routing, hybrid paths, and troubleshooting with eight interview scenarios and answer frameworks.
Build a cloud architect portfolio that earns interviews
Build a concise cloud architect portfolio with three evidence-rich case studies, architecture decisions, security boundaries, operational plans, and honest project outcomes.
Write an AI and cloud resume with evidence
Turn AI and cloud experience into concise resume evidence: your ownership, the architecture decision, measurable scope, verified outcomes, and links to credible project work.