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Foundation of Agentic AI and LLM Architecture Training

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Simplilearn

Foundation of Agentic AI and LLM Architecture Training

Priyanka Mehta

Instructor: Priyanka Mehta

Included with Coursera PlusLearn more

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand Agentic AI, LLM agents, and autonomous AI workflows

  • Explore LLM architectures, orchestration, and multi-agent systems

  • Evaluate enterprise AI readiness, frameworks, and implementation strategies

  • Apply AI-driven automation for business transformation and decision-making

Details to know

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Recently updated!

July 2026

Assessments

10 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Mastering Agentic AI Frameworks Certification Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Build a strong foundation in Agentic AI and LLM-powered architectures through this beginner-friendly module. Learn the core characteristics of agentic AI, explore the evolution of AI agents, and understand how intelligent systems are transforming enterprise workflows. Compare traditional AI with agentic AI, discover real-world applications, and gain practical insights into how autonomous AI systems operate, collaborate, and drive next-generation AI innovation.

What's included

6 videos1 reading3 assignments

Explore the architecture of LLM agents and understand how intelligent AI systems operate across enterprise workflows. This module covers the fundamentals of LLM agents, including perception modules, cognitive engines, and action modules. Learn how LLM agent architectures function, how workflows are orchestrated, and how collaborative AI agents deliver strategic business value across automation, decision-making, and next-generation AI applications.

What's included

4 videos3 assignments

Explore popular LLM agent frameworks and learn how to evaluate enterprise readiness for AI adoption. This module covers framework comparison, implementation strategies, business value, and the impact of LLM-powered agents across enterprise operations. Understand how to select the right LLM framework, address deployment challenges, and explore the future of intelligent AI agents driving automation, decision-making, and business transformation.

What's included

4 videos4 assignments

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Instructor

Priyanka Mehta
Simplilearn
91 Courses80,773 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.