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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