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Starts 8 June 2025 11:53

Ends 8 June 2025

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LLM Workflows: From Automation to AI Agents with Python

Explore the design and implementation of AI agent workflows with Python, from basic automation to building a virtual assistant using OpenAI's Agents SDK, with practical examples and code.
Shaw Talebi via YouTube

Shaw Talebi

2544 Courses


29 minutes

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Overview

Explore the design and implementation of AI agent workflows with Python, from basic automation to building a virtual assistant using OpenAI's Agents SDK, with practical examples and code.

Syllabus

  • Introduction to AI Workflows
  • Overview of AI agents
    Introduction to Python for AI workflows
    Setting up the development environment
  • Basics of Automation with Python
  • Python scripting essentials
    Automating tasks with Python
    Introduction to web scraping for data collection
  • Understanding Large Language Models (LLMs)
  • What are LLMs?
    Use cases of LLMs in automation
    Ethical considerations and best practices
  • Connecting Python with LLMs
  • Using OpenAI's API with Python
    Building basic language tasks with LLMs (text generation, summarization)
  • Intermediate Automation Techniques
  • Leveraging APIs for automation
    Working with JSON and data serialization
    Scheduling and managing Python scripts
  • Designing AI Agent Workflows
  • Flowcharting AI agent tasks
    Integrating decision-making into workflows
    Handling exceptions and errors in AI workflows
  • Building a Virtual Assistant with OpenAI's Agents SDK
  • Overview of the OpenAI Agents SDK
    Setting up and configuring the SDK
    Creating a simple virtual assistant
  • Enhancing the Virtual Assistant
  • Implementing natural language understanding
    Adding conversational memory
    Integrating external data sources and APIs
  • Advanced Topics in AI Agents
  • Multi-turn conversations and dialogue management
    Contextual understanding and user intent modeling
    Personalization and learning user preferences
  • Deploying and Scaling AI Agents
  • Cloud deployment options for Python applications
    Monitoring and logging AI workflows
    Best practices for scaling AI agents
  • Conclusion and Future Directions
  • Emerging trends in AI agent workflows
    Future opportunities with AI and automation
    Final project: Build your own AI agent workflow
  • Resources and Further Learning
  • Recommended books and articles
    Online communities and forums
    Tools and frameworks for advanced exploration

Subjects

Computer Science