Fundamentals of AI Automation
- What is AI Automation?
- Differences between AI Automation and Traditional RPA
- Core Technology Stack of AI Automation
- Evolution of AI Automation: From RPA to Intelligent AI Agents
- The Role of AI Automation in the AIOS Ecosystem
AI Agent System
- Definition and Working Principles of AI Agents
- Classification of AI Agents (Personal Assistants, Enterprise Automation, Smart Hardware Control, etc.)
- Advantages of AI Agents Combined with LLMs (Large Language Models)
- Comparison of Existing AI Agent Solutions (LangChain, CrewAI, AutoGPT, etc.)
- Roles and Architecture of AI Agents in AIOS
MCP (Model Context Protocol)
- Concept and Working Mechanism of MCP
- Role of MCP in the AI Agent Framework
- How MCP Optimizes AI’s Context Understanding and Task Processing
- Application Scenarios of MCP in the AIOS Ecosystem
- Technical Architecture and Implementation Path of MCP
AI Agentic Workflows
- What is an AI Agentic Workflow?
- How AIOS Implements Intelligent Workflows
- Roles and Collaboration of AI Agents in Automation
- Core Logic of Workflow Engines (Task Decomposition, Execution, Feedback)
- Multi-Level Task Processing in AI Agents (Single-Agent vs. Multi-Agent Collaboration)
AIOS Fundamental Concepts
- What is AIOS ?
- Definition and Vision of AIOS (Artificial Intelligence Operating System)
- Differences Between AIOS and Traditional Operating Systems
- Development Trends and Industry Prospects of AIOS
- Core Functions and Features of AIOS
AIOS Technical Architecture
- Layered Architecture Design of AIOS (Core AIOS Layer, Agent Layer, Application Layer)
- AIOS and Multimodal AI Interaction
- How AIOS Manages AI Agents and Plugins
- AIOS Data Management and Privacy Protection Mechanism
- Integration of AIOS with Cloud Computing and Edge Computing
AIOS Industry Applications
- AIOS Applications in Enterprise Automation
- AIOS Case Studies in Smart Offices and Creative Design
- AIOS Implementation in Smart Homes and Smart Cities
- AIOS Use Cases in Healthcare, Finance, and Manufacturing
- How AIOS Will Transform the Future of Work
AIOT (Artificial Intelligence + Internet of Things)
- Concept and Core Technologies of AIOT
- AIOT Applications in Smart Homes and Smart Industries
- AIOT Ecosystem: Homesider Voice Assistant, Magic Mirror, Smart Devices
- AIOT Data Security and Privacy Challenges
- AIOT Data Security and Privacy Challenges
Knowledge Sharing
Fully understand the latest developments and trends of AI agents, AI automation, and master the most cutting-edge knowledge and skills.
