Descriptions
Agentic AI Solution Design Patterns, Learn about the inner workings of agentic AI systems, how agents are designed to think and process data, and how agents interact with each other and the external world. In this course, best-selling author and LinkedIn Top Voice Thomas Erl covers essential design techniques and best practices that encompass internal agent behaviors, external agent interactions, and key agentic AI solution architectures. Intended for architects and engineers, these design patterns provide valuable insights into the underlying architecture and operations of modern agentic AI solutions.
What you’ll learn
- Understand the internal workings of agentic AI systems and agent design.
- Learn about internal monologue and behavioral design patterns in AI agents.
- Explore chain of thought, ReAct, and reflection patterns for agent reasoning.
- Examine controller and LLM interactions in agentic architectures.
- Study external interaction patterns including knowledge graph integration, tool use, and human-in-the-loop.
- Analyze orchestration and collaboration patterns such as planning, expert teams, hierarchical multi-agent systems, and collective memory.
Specificatoin of Agentic AI Solution Design Patterns
- Publisher : Linkedin
- Teacher : Thomas Erl
- Language : English
- Level : All Levels
- Duration : 54 minutes
Content of Agentic AI Solution Design Patterns
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Quality: 720p
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File size
126 MB
