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    Paulo Dichone | Software Engineer
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    Paulo Dichone | Software Engineer's Production AI Agents with LangChain + LangGraph [2026] Course Review

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    Master RAG, Multi-Agent Systems, LangGraph and FastAPI -- Build and Deploy Real-World AI Agent Projects in Python

    Learning Format Online Course
    Subcategory AI Agents

    Course Price $39.99 (list $9.99)

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    About Paulo Dichone | Software Engineer

    Master RAG, Multi-Agent Systems, LangGraph and FastAPI -- Build and Deploy Real-World AI Agent Projects in Python

    Who Is Paulo Dichone | Software Engineer?

    No bio available.

    Industry

    AI

    Total Students

    1,221 students

    Official Website

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    Experience

    Course Language

    English

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    What Do You Learn in Paulo Dichone | Software Engineer's Course?

    Build composable LLM chains using LangChain v.1's LCEL with structured output, streaming, batch processing, and multi-provider switching
    Implement production RAG pipelines with intelligent chunking, vector stores, and 4 advanced retrieval patterns: Multi-Query, Contextual Compression, Hybrid Sear
    Design stateful AI agents with LangGraph state machines, conditional routing, self-correcting loops, and human-in-the-loop approval workflows
    Orchestrate multi-agent systems using supervisor patterns, agent handoffs, parallel execution, and hierarchical team structures
    Secure LLM applications against prompt injection, PII leakage, and output manipulation with production-grade defense layers
    Test and evaluate LLM systems using unit tests, integration tests, and semantic evaluation across correctness, relevance, and coherence
    Deploy production APIs with FastAPI, rate limiting, response caching, structured logging, metrics, LangSmith tracing, and Docker
    Build 3 real-world applications: Customer Support Agent, Multi-Agent Research System, and Code Review Agent, each with measurable business ROI

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