Production-Ready AI & LLM Agents Development Bootcamp

About this course

We are skipping the generic tutorials and building three production-grade, enterprise-ready systems from scratch:

Autonomous Customer Support Agent (LangChain): Build a self-directing support AI grounded in local vector databases, complete with conversational memory and a safe, human-in-the-loop escalation workflow.

Multi-Modal Audio Platform (FastAPI & ElevenLabs): Architect a high-performance, asynchronous backend that writes multi-speaker scripts and synthesizes them into realistic, low-latency voices.

Secure NL-to-SQL Engine (Flask & SQL): Create an intelligent database translator that safely converts natural language into clean, sandboxed SQL queries and renders the returned data in sleek UI tables.

No superficial API wrappers. Just pure backend engineering, advanced prompt design, and clean frontend integration. Let's get started!

Across 12 deeply technical sections, you will transition seamlessly through the lifecycles of autonomous agent reasoning, multi-modal data synthesis, and dynamic natural-language-to-relational-database execution. Each phase emphasizes operational safety, deterministic state management, and real-world edge-case mitigation, ensuring your applications are robust enough for real deployment.

Module 1: Autonomous Customer Support AI Agents (LangChain)Section 1: Foundations of Agentic AI & LangChain Architecture

Agentic Reasoning Paradigms

Deconstruct the core architectural shift from linear, deterministic chatbots to autonomous, self-directing LLM entities. Learn how LangChain fits into modern agent lifecycles, focusing on structured decision loops and native execution tools.

Environment Architecture and Runtimes

Establish clean, isolated python virtual runtime environments to safely manage dependencies and se

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