Building Agentic AI Systems

1h 2mIntermediate2025-07-22

Authors

Rashim Mogha

Best-Selling Author, Technology Leader

Course details

This course provides knowledge on how to design agentic AI systems, a rapidly evolving field that focuses on AI systems capable of autonomous decision-making and adaptive learning. Instructor Rashim Mogha shares insights into the tools, frameworks, and reference architectures. By the end of the course, with the help of a use case and project, you should have a comprehensive understanding of how to develop agentic AI systems that transform operations, unlock new opportunities, and shape the future of intelligent collaboration.

Learning objectives
Develop a core concept for agentic AI.
Identify core AI agents of an agentic AI system.
Build agentic AI system workflow.
Design a reference architecture with available tools and tech stack.

Skills covered

Programming FoundationsAI Productivity ToolsArtificial Intelligence FoundationsArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Software and ToolsSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Building the future of agentic AI

1. What Is Agentic AI

02 - Definition and evolution of agentic AI
03 - When to use agentic AI
04 - Real-world applications of agentic AI

2. Developing the Core Concept

05 - Understanding autonomy and decision-making
06 - Cognitive framework for AI agents
07 - Reinforcement learning in agentic AI

3. Identifying Core AI Agents

08 - Types of AI agents
09 - Multi-agent systems and collaboration

4. Building Agentic AI System Workflow

10 - Designing agentic AI process flows
11 - Data pipelines and integration
12 - Automation and decision loops
13 - User interaction and experience

5. Reference Architecture, Tools, and Tech Stack

14 - Architecture components of agentic AI
15 - Infrastructure and deployment strategies
16 - Governance
17 - Testing strategies

6. Edtech Use Case

18 - Defining the solution
19 - Identifying the AI agents
20 - Identifying the data sources
21 - Putting together the reference architecture
22 - Defining the criteria for success

7. Healthtech Use Case - Project

23 - Design an agentic AI system for healthtech

Conclusion

24 - What's next