The Agentic AI Instructor Guide can be utilized so that one can review via a demonstration aspect key and core information regarding the subject matter of most value to the topic.
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What is Agentic AI?
Agentic AI refers to AI systems that don't just respond, they take initiative, make decisions, and carry out multiple‑step tasks to achieve a goal. This is done via the utilization of AI agents which follow these aspects:
1. Understands goals, not just questions
2. Breaks tasks into steps
3. Takes actions in the world
4. Adapts and self-corrects
Using This Guide
To best leverage the material in this guide, it is suggested that each high-level topic be reviewed via a discussion. High level bullet points and numbering depicted throughout the guide will help with this overview. Additionally, when applicable enter in any generative prompts and then experiment as desired.
Estimated instructor overview time: 60-90 minutes depending on discussion and examples utilized.
Contents
What is Agentic AI?
Using This Guide
Using Generative AI
Overview of Agentic AI
Evolution of Agentic AI
Agentic AI + Workflow Agents
Agentic AI + Autonomous Agents
Agentic AI + Hybrid Agents
Agentic AI + Service Options
Agentic AI + Agent Fundamentals
Agentic AI + Modular Architecture
Agentic AI + Goal Oriented Planning Loop
Agentic AI + Memory and Context Retention
Agentic AI + Tool Use and External Integration
Agentic AI + Self-Evaluation and Reflection
Agentic AI + Observability Patterns
Agentic AI + Interoperability Patterns
Closing Notes:
About the Author:
Notes:
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