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    Prof. Ryan Ahmed
    Unclaimed Profile

    Prof. Ryan Ahmed's AI Agents for Beginners: Build Agents in Python & OpenAI Course Review

    Community Insights

    Build Real AI Agents with Tools, Memory, Handoffs, & Guardrails Using OpenAI Agents SDK & Python.

    Learning Format Online Course
    Subcategory AI Agents

    Course Price $39.99 (list $9.99)

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    About Prof. Ryan Ahmed

    Build Real AI Agents with Tools, Memory, Handoffs, & Guardrails Using OpenAI Agents SDK & Python.

    Who Is Prof. Ryan Ahmed?

    No bio available.

    Industry

    AI

    Total Students

    12,696 students

    Official Website

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    Experience

    Course Language

    English

    Social Channels

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    What Do You Learn in Prof. Ryan Ahmed's Course?

    Build AI agents in Python using OpenAI Agents SDK with Memory and Tools.
    Build a travel planner AI Agent that creates an itinerary based on user preferences.
    Inspect the agent’s behavior using traces on the OpenAI API platform.
    Master best practices in creating Autonomous AI Agents
    Master the art of Prompt Engineering & Setting Up Agent Instructions
    Understand the Key components of an Effective AI Agent System Prompt (Context, Instruction, Input, & Output Indicator)
    Test AI agents and watch it run using the Runner class
    Design & build a personal finance AI agent with memory that can recall user preferences, past tasks, & ongoing conversations to deliver personalized experiences
    Integrate SQLite-based session storage to enable persistent memory for agents
    Test and compare agent behavior before and after adding memory to evaluate improvements in context retention.
    Build AI agents that integrate built-in tools (like Code Interpreter) and custom FunctionTools for real-time search & data retrieval
    Combine search, memory, and decision-making to run a full end-to-end AI agent workflow.
    Build a manager function to orchestrate multi-agent workflows from input to final deliverable.
    Implement agent collaboration by passing outputs from one agent to another in a structured workflow.
    Create modular AI agents (Researcher, Analyst, Writer) with specialized roles for information gathering, analysis, and reporting.
    Implement guardrails to enforce boundaries, such as preventing responses on restricted topics (e.g., politics).
    Build handoff mechanisms that transfer context and inputs smoothly between agents
    Create a tool as an agent by wrapping an autonomous agent behind a function-tool interface, allowing it to be invoked seamlessly by other agents.

    What's Included in This Course?

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