Description
AI Agent Engineering: Build Production Ready Agentic Systems is a course on designing intelligent AI agents published by Udemy Online Academy. This is a comprehensive, hands-on course that teaches you how to design, develop, and deploy intelligent AI agents that operate autonomously in real-world environments. You will learn how to architect agent systems that can understand inputs, maintain context over long interactions, interact with external APIs and databases, and perform complex multi-step tasks reliably and efficiently. The course covers the core principles of agent design, rapid engineering, memory and state management, Recovery Augmented Generation (RAG), security best practices, and how to integrate agents into production-ready applications with scalable workflows.
AI agents are rapidly evolving from simple chatbots to powerful autonomous systems capable of reasoning, planning, using tools, collaborating with other agents, and operating on real-world enterprise data. Modern organizations are increasingly deploying agent systems to automate workflows, improve decision-making, and build intelligent products. By the end, you will be equipped to build robust, real-world AI agent solutions that deliver value at scale, with key topics including system architecture, AI integration, data workflows, automation patterns, and deployment strategies all explained in a cohesive learning experience.
What you will learn in AI Agent Engineering: Build Production Ready Agentic Systems:
- Understand operating systems and clearly differentiate them from traditional LLM applications.
- Design AI agent architectures using modern agent patterns, memory, and tool-based reasoning.
- Build production AI agents with LangChain, LangGraph, Deep Agents, MCP, RAG pipelines, and multi-agent collaboration.
- Secure, evaluate, and monitor AI agents using guardrails, Langfuse, observability, authentication, and performance metrics.
- Deploy scalable agent systems in the cloud using Docker, FastAPI, and real-world production workflows.
- Architect end-to-end AI agent APIs, from LLM integration and tooling to backend connectivity and real-world system deployment.
- And…
Course specifications
Publisher: Udemy
Instructors: Arnab Das
Language: English
Level: Introductory to Advanced
Number of Lessons: 45
Duration: 8 hours and 16 minutes
Course topics on 2026/2
AI Agent Engineering: Build Production Ready Agentic Systems Prerequisites
Basic Python programming knowledge (functions, classes, virtual environments)
Familiarity with REST APIs and JSON
Fundamental understanding of LLMs or prior experience using ChatGPT or similar tools
A laptop or desktop with internet access
Willingness to install Python, VS Code, Pycharm and required libraries
Pictures
AI Agent Engineering: Build Production Ready Agentic Systems 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
3.3 GB
