Career roadmap

AI engineer roadmap — practical path with mentorship

A structured sequence for college students, working developers, and career switchers. Skip hype; focus on skills you can demonstrate in projects and interviews—with live help when topics stack up.

  1. Phase 1: Programming base

    • Python fluency
    • Git and small projects
    • Problem-solving habits
    Python roadmap →Python mentorship →

  2. Phase 2: Data & ML core

    • NumPy, Pandas
    • Supervised learning & evaluation
    • First ML portfolio project
    ML explained simply →ML tutor online →

  3. Phase 3: Modern AI stack

    • LLMs and prompting
    • RAG pipelines
    • Evaluation and limitations
    RAG roadmap →Applied AI mentorship →

  4. Phase 4: Agents & engineering

    • Tool use and MCP patterns
    • LangChain-style workflows
    • Portfolio + interview stories
    Agentic AI guide →How ML tutoring works →

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