Building Agentic AI Systems
Building Agentic AI Systems
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 2m | 286 MB
Instructor: Rashim Mogha
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 2m | 286 MB
Instructor: Rashim Mogha
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.
Building Agentic AI Systems
