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Suraj Sharma on Becoming an Agentic AI Engineer
Suraj Sharma outlines a comprehensive 12-stage roadmap for becoming an Agentic AI Engineer within 6 months, covering foundational Python skills through production deployment and open-source contributions. The progression emphasizes practical implementation from LLM fundamentals and tool calling to multi-agent orchestration, human-in-the-loop systems, and security considerations.
Built for AI agentsACO · 969 tokens
Summary
Suraj Sharma outlines a comprehensive 12-stage roadmap for becoming an Agentic AI Engineer within 6 months, covering foundational Python skills through production deployment and open-source contributions. The progression emphasizes practical implementation from LLM fundamentals and tool calling to multi-agent orchestration, human-in-the-loop systems, and security considerations.
Tags
agentic-ai · learning-roadmap · llm-engineering · python · agent-development · production-deployment
Key entities
Suraj Sharma (person, 0.95) · Python (technology, 0.95) · FastAPI (technology, 0.9) · LangGraph (technology, 0.85) · CrewAI (technology, 0.85) · Pydantic (technology, 0.85) · LangSmith (technology, 0.8) · Arize (technology, 0.8) · vLLM (technology, 0.8) · SGLang (technology, 0.8) · Kubernetes (technology, 0.85) · Agentic AI Engineering (concept, 0.95) · ReAct loops (concept, 0.85) · Multi-Agent Orchestration (concept, 0.9)
Classification
tutorial · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 15 Jun 2026