AI Agents for Beginners: Build Agents in Python & OpenAI
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Unclaimed ProfileThis masterclass, led by Prof. Ryan Ahmed, provides a comprehensive, hands-on introduction to building autonomous AI agents from scratch using Python and the OpenAI Agents SDK. Designed specifically for beginners and aspiring AI engineers, the course demystifies the core components of modern agentic workflows. Students start by mastering system prompts, setting instructions, and structuring contexts before moving on to advanced concepts like persistent memory utilizing SQLite-based session storage. The curriculum guides learners through practical projects, such as constructing a travel planner, a personal finance advisor, and specialized multi-agent systems consisting of researchers, analysts, and writers. By integrating built-in capabilities like Code Interpreter alongside custom FunctionTools, students learn to grant their agents real-time search and data-retrieval skills. Crucially, the course covers the orchestration of multi-agent collaborations, smooth context handoffs, and the implementation of robust guardrails to restrict inappropriate topics. Whether you are a software developer looking to transition into AI or a tech-savvy professional aiming to automate complex tasks, this course delivers the exact practical skills needed to design, test, and deploy resilient, real-world AI agent systems.
About the creator
Prof. Ryan Ahmed
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Prof. Ryan Ahmed is a distinguished educator and technology leader dedicated to making artificial intelligence and machine learning accessible to a global audience. With a profound understanding of cutting-edge tech, Ryan specializes in demystifying complex concepts such as Agentic AI engineering, LLM system architecture, and advanced retrieval-augmented generation (RAG). His teaching methodology centers on a practical, hands-on approach that bridges the gap between theoretical data science and enterprise-ready application development. Whether guiding his students through building custom Python-based AI agents from scratch or configuring enterprise workflows using Microsoft Copilot Studio, Ryan ensures every lesson is grounded in real-world utility. He…Show more
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Learning format
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What You'll Learn
- 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.
Best For
- Software developers looking to transition into AI and agentic automation
- Python programmers who want to learn the practical application of the OpenAI Agents SDK
- Tech-savvy professionals interested in building custom autonomous workflows and tools
- AI enthusiasts aiming to move beyond basic chatbot development to multi-agent orchestration
Not For
- Individuals with zero experience in Python programming or software development
- Learners looking for a theoretical, non-technical overview of AI ethics or history
- Advanced AI researchers seeking complex academic papers or deep-learning model architecture design
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