Agentic AI Architecture Foundations: Designing Autonomous AI Systems
With Thomas Erl
Liked by 248 users
Duration: 1h 2m
Skill level: Intermediate
Released: 5/29/2025
Course details
Description
What is this course about?
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.Note: This course was created by Thomas Erl. We are pleased to host this content in our library.
Instructor
Who teaches this course?
Thomas Erl is a LinkedIn Top Voice, best-selling author, and AI and digital technology education specialist at Arcitura. Thomas has authored or coauthored 15 books, and has published articles and interviews in publications like CEO World, The Wall Street Journal, and Forbes.Objectives
What will I be able to do by the end of this course?
- Analyze and differentiate between agentic AI systems and other AI architectures.
- Design autonomous AI agents using core modules such as perception, reasoning, and action.
- Apply knowledge of agent-environment interaction loops to real-world applications.
- Evaluate the benefits and limitations of single and multiagent systems.
- Develop strategies for employing agentic AI solutions to solve complex problems.
Audience
Who is this course for?
- AI and ML engineers
- Solution architects
- Software developers with an interest in AI systems
- IT professionals exploring AI integrations
- Business strategists focusing on digital transformation
Prerequisites
What do I need to know before taking this course?
- Basic understanding of AI and machine learning principles
- Familiarity with concepts in predictive and generative AI systems
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Eric Layland
Eric Layland
AI Strategist | Marketing Modernization | Responsible AI Adoption | Data Strategy & Governance | Team Leader | CPMAI Certified
Contents
What’s included
- Test your knowledge 3 quizzes
- Learn on the go Access on tablet and phone
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