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Agentic AI Architecture Foundations: Designing Autonomous AI Systems

Agentic AI Architecture Foundations: Designing Autonomous AI Systems

1h 2mIntermediate2025-05-29

Authors

Thomas Erl

Thomas Erl

Course details

How are agentic AI systems different from predictive and generative AI systems? How do agentic AI systems work, and how can they be built using different types of AI agents? What are the foundational architectures that agentic AI systems are built upon? With over 100 custom figures, this course provides an engaging visual exploration of the primary architectures, key components, and core modules of agentic AI systems. Join LinkedIn Top Voice and author Thomas Erl as he explains—in clear, simple language, without jargon—the inner workings of intelligent and autonomous agentic AI systems and describes how individual AI agents can be designed to perceive, reason, act, learn, and collaborate with each other to form greater solutions.

Skills covered

Software ArchitectureAI for Business FoundationsArtificial Intelligence FoundationsArtificial Intelligence for BusinessArtificial Intelligence (AI)Software DevelopmentOne-Off

Concepts

0. Introduction

  • 01 - Introduction
  • 02 - What you need to know

1. Agentic AI System Fundamentals

  • 03 - Agentic AI systems and autonomous AI agents
  • 04 - AI system comparison
  • 05 - Types of autonomous AI agents
  • 06 - The agent-environment interaction loop

2. Core Autonomous AI Agent Modules

  • 07 - The perception module
  • 08 - The reasoning module
  • 09 - The action module
  • 10 - The learning module

3. Agentic AI Solution Architecture

  • 11 - AI agent module utilization
  • 12 - AI agent architectures
  • 13 - Agentic AI system monitors
  • 14 - Basic agentic AI system architectures

Conclusion

  • 15 - Next steps

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