How To Create AI Agents From Scratch! (Free Course)

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AI Summary

Mini Course Summary

• Objective: Learn about AI agents, their creation, and use.
• Key Concepts:
  • AI agents can access real-time data and perform actions.
  • They mimic human behavior and are autonomous.
• Benefits:
  • AI agents act like virtual assistants, saving time and increasing productivity.
• Skillshare:
  • Offers courses on productivity and AI agents.
  • Special promotion for course access.
• Building AI Agents:
  • Start with a simple example, then progress to a real-world AI agent.
  • Combine external functions with a language model.
  • Use Python for development.
• Example Project:
  • Create a basic AI agent to check website response times.
  • Develop using Python, OpenAI’s API, and JSON.
  • Implement a loop for the agent to think, act, and respond.
• Real-World Application:
  • An SEO auditor AI agent that analyzes websites and provides optimization tips.
• Tools and Resources:
  • Open source library simple LM for easier language model interactions.
  • Full video library and courses available on the creator’s website.
• Promotion:
  • Skillshare partnership offering one month of free access.

Code Structure Outline

• Setup:
  • Create a Python project with main script, actions, and prompts files.
• Actions:
  • Define functions that the AI can use to perform tasks.
• Prompts:
  • Create system prompts to guide the AI’s behavior.
• AI Agent Loop:
  • Implement a loop where the AI thinks, selects an action, and responds.
• Integration:
  • Use OpenAI’s API to power the AI agent.
  • Import and utilize necessary Python modules and functions.
• Testing:
  • Run the AI agent with various prompts to ensure functionality.
• Advanced Example:
  • Build an SEO auditor AI agent with more complex capabilities.
• Deployment:
  • Suggest using the AI agent as a backend for a chatbot on a website.

Additional Notes

• Prompt Engineering:
  • Important for refining the AI agent’s responses.
• Support:
  • Creator available on forums for questions and support.
• Learning Paths:
  • Encourages combining productivity methods with AI, such as GTD with AI.
• Call to Action:
  • Encourages viewers to use the Skillshare link and engage with the content.