Description
The “Production-Ready AI & LLM Agents Development Bootcamp” is a training course published by the online academy Udemy, focused on building practical AI agents powered by Large Language Models (LLMs). Moving beyond simple prompt engineering, you will learn to design agentic systems capable of reasoning, utilizing external tools, processing data, interacting with APIs, and executing multi-step workflows. You will explore key concepts in production-grade AI development, including agent architecture, tool calling, context and memory management, Retrieval-Augmented Generation (RAG), workflow orchestration, evaluation, reliability, security, and deployment. Through hands-on projects and real-world development patterns, you will learn how to transform AI prototypes into resilient, maintainable applications. The course begins with the architecture of autonomous, decision-making agents using LangChain; here, you will learn to build agents that dynamically assess user intent and select the appropriate execution tool, rather than following a fixed, predetermined path.
It is this dynamic decision-making capability that distinguishes a true agent from a simple linear script. From there, you will progress to building vector-based RAG pipelines that ground model responses in custom organizational documentation, ensuring the agent provides answers based on your organization’s actual, verifiable data rather than relying on general knowledge. This approach transforms context and memory into integral components of agent reliability, rather than mere peripheral features. The course concludes by focusing on reliability and safety in production: establishing strict safety thresholds and deterministic escalation logic to ensure that unresolved AI conversations are seamlessly handed off to human support channels, preventing users from getting stuck in an endless, unproductive loop. By the end, you will be able to not only design AI agents but also build them to be truly reliable and ready for production deployment.
What you will learn in Production-Ready AI & LLM Agents Development Bootcamp:
- Architect autonomous decision-making agents using LangChain that dynamically evaluate user intent and select appropriate execution tools
- Design robust, vector-based Retrieval-Augmented Generation (RAG) pipelines to completely ground model responses in custom corporate documentation
- Build strict safety thresholds and deterministic escalation logic to gracefully transition unresolvable AI conversations to human support channels
- and …
Course specifications
Publisher: Udemy
Instructors: Pawan Deore
Language: English
Level: Introductory to Advanced
Number of Lessons: 28
Duration: 3 hours and 23 minutes
Course topics
Production-Ready AI & LLM Agents Development Bootcamp Prerequisites
Beginner proficiency in the Python programming language, including experience with asynchronous logic and structured data parsing.
Core understanding of relational databases, including basic SQL query syntax and standard backend API structures.
Fundamental web development knowledge, including basic familiarity with HTML, vanilla JavaScript DOM manipulation, and terminal execution.
Willingness to learn
Pictures
Production-Ready AI & LLM Agents Development Bootcamp introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.6 GB