AI Agents for Beginners: Build Agents in Python & OpenAI
About this course
In this course, you’ll learn how to build real AI agents in Python using the OpenAI Agents SDK. You’ll understand the core building blocks of modern AI agent systems, including reasoning, memory, tool usage, planning, and guardrails and how these components work together to automate and enhance tasks.You will also learn how to develop a team of autonomous AI Agents that can work together to achieve a goal. You’ll learn how to inspect and debug agent behaviour using tracing and observability tools, so your agents are not just powerful, but also transparent, testable, and safe.By the end of this course, you’ll be able to:Build AI agents in Python using the OpenAI Agents SDKUnderstand how agents reason, plan, and execute tasks using system prompts and instructionsDesign effective agent system prompts (context, instructions, inputs, and outputs)Understand how AI agents work under the hoodUse tools, memory, and planning to create more capable, context-aware agentsDesign safe agent interactions with guardrails and controlled executionCompare agent behaviour with and without memory to evaluate context retentionThis course is designed for developers and engineers who want a practical, code-first introduction to AI agents. No prior experience with agent architectures or machine learning is required just basic Python knowledge and an interest in building real AI systems that work reliably in practice.
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What you'll learn
- Build AI agents in Python using the OpenAI Agents SDK
- Understand how agents reason, plan, and execute tasks
- Design effective system prompts for AI agents
- Inspect and debug agent behavior using tracing tools
- Evaluate agent behavior based on memory retention
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