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.
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
AI Agents and Agentic SystemsAI Development Tools and PlatformsProgramming FoundationsBuilding with AISoftware DevelopmentOne-Off
Concepts
Introduction
- Building the future of agentic AI
What Is Agentic AI
- Definition and evolution of agentic AI
- When to use agentic AI
- Real-world applications of agentic AI
Developing the Core Concept
- Understanding autonomy and decision-making
- Cognitive framework for AI agents
- Reinforcement learning in agentic AI
Identifying Core AI Agents
- Types of AI agents
- Multi-agent systems and collaboration
Building Agentic AI System Workflow
- Designing agentic AI process flows
- Data pipelines and integration
- Automation and decision loops
- User interaction and experience
Reference Architecture, Tools, and Tech Stack
- Architecture components of agentic AI
- Infrastructure and deployment strategies
- Governance
- Testing strategies
Edtech Use Case
- Defining the solution
- Identifying the AI agents
- Identifying the data sources
- Putting together the reference architecture
- Defining the criteria for success
Healthtech Use Case - Project
- Design an agentic AI system for healthtech
Conclusion
- What's next