Library / Artificial Intelligence
Agentic AI From Foundations to Enterprise-Grade Systems
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About this course
Agentic AI From Foundations to Enterprise-Grade Systems
Course Overview
Welcome to Agentic AI From Foundations to Enterprise-Grade Systems — your complete hands-on guide to designing, building, and deploying intelligent AI agents and workflows for real-world applications.
This course starts at foundation level and gradually builds up to Enterprise grade systems.
This course is built for developers, AI enthusiasts, and enterprise architects who want to go beyond prompting and explore the agentic capabilities of modern LLMs (Large Language Models).
You’ll learn how to structure AI agents, empower them with tools, manage their memory and state, and evolve them into enterprise-grade, multi-agent systems.
What You Will Learn
The fundamentals of Agentic AI and how it differs from traditional prompt engineering
Core architectural patterns like the ReAct pattern (Reasoning + Acting)How to build a minimal ReAct agent from scratch in Python
How to integrate tools like web search, calculators, databases, APIs, and custom functions
Implementing multi-turn reasoning and agent tool-chaining
Handling errors, timeouts, and tool failures gracefully
Adding logging, monitoring, and agent evaluation capabilities
Architecting hierarchical agents, multi-agent collaborations, and role-based delegation
Designing and deploying enterprise-grade agents with:
- LangChain
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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