2026 Roadmap

How to Become an
AI Engineer in 6 Months

A practical, project-driven roadmap from coding fundamentals to production AI systems.

The 6-Month Roadmap

From zero to AI engineer โ€” month by month

1
Month 1

Coding & Fundamentals

Become a functional Python developer. AI engineering is first and foremost software engineering.

PythonGit/GitHubCLI/TerminalHTTP/APIsSQLPandasFastAPI
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2
Month 2

LLM Application Development

Go from "I know Python" to "I can build working applications with LLMs."

OpenAI APIAnthropic SDKPrompt DesignStructured OutputsTool CallingStreaming
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3
Month 3

RAG โ€” Retrieval-Augmented Generation

The single most common pattern in production AI. LLMs don't know your data โ€” RAG bridges that gap.

EmbeddingsVector DBsChunkingHybrid SearchRe-rankingRAGAS Eval
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4
Month 4

Agents, Tools & Workflows

Build AI agents that can take actions, use tools, and handle multi-step workflows.

ReAct PatternPlan-and-ExecuteMulti-AgentLangGraphFunction CallingGuardrails
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5
Month 5

Deployment & Production

Take your AI apps from localhost to production. Level up from "builder" to "professional."

DockerFastAPIAWS/GCPObservabilityCachingSecurity
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6
Month 6

Specialize & Ship

Pick a specialization, polish your portfolio, and start positioning yourself for employment.

AI Product EngineerApplied MLFine-TuningPortfolioResumeLinkedIn
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