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    KGP Talkie | Laxmi Kant
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    KGP Talkie | Laxmi Kant's Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3 Course Review

    Community Insights

    Build & Deploy 10 Production AI Agents with LangChain v1, LangGraph, MCP, Gemini 3, FastAPI, Streamlit & AWS EC2

    Learning Format Online Course
    Subcategory AI Agents

    Course Price $39.99 (list $9.99)

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    Is KGP Talkie | Laxmi Kant's Course Legit?

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    About KGP Talkie | Laxmi Kant

    Build & Deploy 10 Production AI Agents with LangChain v1, LangGraph, MCP, Gemini 3, FastAPI, Streamlit & AWS EC2

    Who Is KGP Talkie | Laxmi Kant?

    No bio available.

    Industry

    AI

    Total Students

    6,465 students

    Official Website

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    Experience

    Course Language

    English

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    What Do You Learn in KGP Talkie | Laxmi Kant's Course?

    Build real AI agents using LangChain and Google Gemini that can reason, use tools, and complete tasks autonomously
    Design agent architectures using ReAct patterns, tool calling, and structured decision making
    Implement short-term and long-term memory in AI agents using databases and embeddings for personalized experiences
    Create and manage agent tools for web search, weather, finance, document analysis, and external APIs
    Apply prompt engineering techniques to control agent behavior, improve output quality, and guide tool usage
    Add safety layers such as guardrails, human-in-the-loop approval, and middleware controls to prevent errors and misuse
    Stream real-time responses and generate structured outputs from AI agents in production-style applications
    Secure AI agents with sandboxed code execution to prevent file deletion, credential leaks, and system risks
    Build REST APIs for AI agents using FastAPI with validation, CORS, and production-ready patterns
    Develop full-stack AI applications using Streamlit connected to LangChain agents
    Deploy AI agents on AWS EC2 and configure them for real-world access and scalability

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