Agentic Ai Human-Agent Collaboration Design Patterns
Released 2/2026
With Thomas Erl
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 1m | Size: 154 MB
Learn how AI systems can be designed for humans to collaborate with autonomous AI agents. Understand the roles that humans and AI agents can assume to work together successfully.
Course details
As autonomous AI systems are becoming a greater part of business operations and work environments, it’s becoming increasingly important to understand how these systems need to be designed to collaborate with humans. Often, the more responsibility agentic AI systems are given, the more human involvement and oversight become necessary. In this new course, LinkedIn Top Voice and best-selling author Thomas Erl explains the common roles that need to be established for humans and AI agents to successfully work together. This course basically explores a number of specialized implementations of the human-in-the-loop concept, whereby AI systems are designed specifically for both humans and AI agents to carry out different parts of an overall workflow. The design patterns covered range from foundational collaborative designs, to system architectures that involve intelligent escalation, dynamic task allocation, and cognitive transparency, as well as correction and safety controls. This course was created by Thomas Erl. We are pleased to host this training in our library.
Skills covered
AI Governance, AI Solutions, Design Patterns, Agentic AI Development
rapidgator.net/file/6c56b125722ccfd67bc235684f61ca45/Agentic_AI_Human-Agent_Collaboration_Design_Patterns.rar.html
