Syllabus
This course covers the following topics:
- Basic
- Introduction to AI Agents
- Setting Up Your First AI Agent
- Making the AI Agent Respond to Your Questions
- Using AI to Automate Tasks
- Understanding How AI Agents Make Decisions
- Improving the Intelligence of Your AI Agent
- Creating an AI Agent to Analyze Data
- Using AI Agents for Complex Tasks
- Monitoring and Improving Your AI Agent
- Summary and Next Steps
- Existing Models
- Introduction to Language Models (LLM)
- Open-Source Language Models
- Private Language Models
- Integrating Language Models with n8n
- Comparison of Open vs Private Models
- Summary and Practical Applications
- MCP Servers
- Introduction to MCP Servers
- Functionality of MCP Servers
- Implementing MCP Servers for AI Agents
- Integrating MCP Servers with n8n
- Benefits and Challenges of Using MCP Servers
- Summary and Next Steps with MCP Servers