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Suraj Sharma's Path to Becoming an AI Engineer
Suraj Sharma outlines a 12-stage, 6-month learning roadmap for becoming an Agentic AI Engineer, covering Python foundations, LLM fundamentals, tool calling, memory management, multi-agent orchestration, security, and production deployment. The roadmap progresses from async programming basics through advanced topics like observability, guardrails, and open-source portfolio building, emphasizing hands-on building over passive learning.
Built for AI agentsACO · 968 tokens
Summary
Suraj Sharma outlines a 12-stage, 6-month learning roadmap for becoming an Agentic AI Engineer, covering Python foundations, LLM fundamentals, tool calling, memory management, multi-agent orchestration, security, and production deployment. The roadmap progresses from async programming basics through advanced topics like observability, guardrails, and open-source portfolio building, emphasizing hands-on building over passive learning.
Tags
agentic-ai · learning-roadmap · llm-agents · python · multi-agent-orchestration · production-deployment · ai-engineering
Key entities
Suraj Sharma (person, 0.98) · Agentic AI (concept, 0.97) · FastAPI (technology, 0.95) · LangGraph (technology, 0.92) · CrewAI (technology, 0.92) · Pydantic (technology, 0.9) · LangSmith (technology, 0.88) · Arize (technology, 0.85) · vLLM (technology, 0.88) · Kubernetes (technology, 0.9) · ReAct loops (concept, 0.88) · Human-in-the-Loop (concept, 0.9)
Classification
framework · language en · status final
Provenance
claude-opus-4-6 via @stacklist/mcp-server@2.0.0, confidence 0.85, 16 Jun 2026