Description
Agentic AI Architecture Foundations: Designing Autonomous AI Systems. This course explores the fundamentals of designing and building agent-based AI systems. It explains the key differences between agent-based AI systems and predictive and generative systems, and how they operate and are built using different types of AI agents. It also introduces the fundamental architectures that underlie these systems. Using over 100 custom images, this course provides a visually engaging overview of the core architectures, critical components, and core modules. In clear, simple language and without the use of complex technical jargon, instructor Thomas Earle, a top LinkedIn speaker and author, explains the inner workings of intelligent, autonomous AI systems. He explains how individual agents can be designed to understand their environment, reason, act, learn, and collaborate to form more complex solutions. This course provides a structured and visual learning path to understand the fundamental architectural concepts and how these advanced AI systems operate.
What you will learn
- Principles of agent-oriented artificial intelligence system:
- Understanding agent-oriented AI systems and autonomous AI agents.
- AI system comparison.
- Introduction to types of autonomous AI agents.
- Understanding the agent-environment interaction loop.
- Autonomous AI agent core modules:
- Introduction to the perception module.
- Complete understanding of the reasoning module.
- Introduction to the action module.
- Complete understanding of the learning module.
- Agent-oriented AI solution architecture:
- Understand how to utilize AI agent modules (AI agent module utilization).
- Introduction to AI agent architectures.
- Understanding Agentic AI system monitors.
- Familiarity with basic agentic AI system architectures.
This course is suitable for people who:
- They seek to understand the fundamental differences between agent-oriented AI systems and other types of AI.
- Interested in learning how to build and design autonomous AI systems.
- They seek a visual, jargon-free exploration of the fundamental architectures of agent-oriented AI.
- They want to learn how AI agents perceive, reason, act, learn, and collaborate.
- They seek a deeper understanding of the internal mechanisms of agent-oriented artificial intelligence.
Course Description Agentic AI Architecture Foundations: Designing Autonomous AI Systems
- Publisher: LinkedIn
- Instructor: Thomas Erl
- Education level: Intermediate
- Training duration: 1 hour and 2 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
133 MB
