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מתחיל 4 June 2026 09:23

נגמר 4 June 2026

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OpenAI Agents SDK Handoffs - Deep Dive Tutorial

Join our comprehensive tutorial on OpenAI Agents SDK handoffs and master the creation of advanced multi-agent workflows. Delve into the integration of web search, Retrieval-Augmented Generation (RAG), and code execution agents using the latest language models like gpt-4.1-mini and gpt-4.1. This course, available on YouTube, falls under the cat.
James Briggs via YouTube

James Briggs

6076 קורסים


35 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Free Video

שדרוג אופציונלי זמין

סקירה כללית

Join our comprehensive tutorial on OpenAI Agents SDK handoffs and master the creation of advanced multi-agent workflows. Delve into the integration of web search, Retrieval-Augmented Generation (RAG), and code execution agents using the latest language models like gpt-4.1-mini and gpt-4.1.

This course, available on YouTube, falls under the categories of Artificial Intelligence and Computer Science, providing a hands-on approach to the latest developments in AI technology.

סילבוס

  • Introduction to OpenAI Agents SDK
  • Overview of Multi-Agent Systems
    Benefits of Using Agents: Web Search, RAG, and Code Execution
  • Setup and Configuration
  • Installation of SDK
    Environment Setup and Requirements
  • Understanding SDK Architecture
  • Key Components and Workflows
    Integration with LLMs (gpt-4.1-mini, gpt-4.1)
  • Building Web Search Agents
  • Designing and Implementing Search Strategies
    Leveraging APIs for Enhanced Search Capabilities
  • Developing RAG (Retrieval-Augmented Generation) Agents
  • Concepts of RAG and its Applications
    Implementation Best Practices
  • Creating Code Execution Agents
  • Setting Up Secure Code Execution Environments
    Automating Code Execution with LLM Support
  • Advanced Agent Orchestration
  • Multi-Agent Workflow Design
    Managing Inter-Agent Communication
  • Troubleshooting and Optimization
  • Debugging Agent Interactions
    Enhancing Agent Performance and Accuracy
  • Case Studies and Application Scenarios
  • Real-world Use Cases
    Evaluating Success in Multi-Agent Deployments
  • Future Trends and Innovations in Agent-based Systems
  • Emerging Technologies in AI Agents
    The Future Impact of Advanced LLM Integration
  • Capstone Project
  • Designing and Implementing a Multi-Agent System
    Project Presentation and Feedback
  • Conclusion and Next Steps
  • Further Learning Resources
    Networking and Community Engagement Opportunities

נושאים

Computer Science