A 12-Month Roadmap to Become an AI Engineer Without a CS Degree

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A structured 12-month plan outlines how aspiring AI engineers can break into the field without a computer science degree by prioritizing software engineering fundamentals before touching AI tools. The roadmap begins with Python and backend development in the first four months, followed by hands-on work with large language model APIs and deployment in months five and six. Months seven through ten focus on building retrieval-augmented generation systems and scaling AI applications to production-level reliability. The final stretch emphasizes agentic workflows, portfolio building, and publishing technical writing to demonstrate real-world capability. The core argument is that shipping and documenting actual projects remains a faster and more effective entry path into AI engineering than accumulating courses or certificates.

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