Building Effective Agents with GPT-5 in Python

Overview

Build effective GPT-5 agents from scratch using pure Python and direct OpenAI API calls. Master LLM workflows, tool integration, autonomous agent patterns, multi-agent orchestration, and async parallelization, all without any frameworks.

Syllabus

Course 1: Exploring Workflows with GPT-5 in Python
Course 2: Developing GPT-5 Agents with Tool Integration in Python
Course 3: Mastering Agentic Patterns with GPT-5 in Python
Course 4: Parallelizing GPT-5 Agentic Systems in Python

Courses

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2 hours
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Explore how to orchestrate GPT-5 through common workflow patterns using the Responses API. Master strategies for decomposing complex tasks, routing work efficiently, and executing parallel operations using only prompt engineering and API call orchestration.
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2 hours
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Discover how to enhance GPT-5's capabilities by integrating custom tools and functions. Progress from creating tool schemas to building autonomous agents that can interact with external systems through iterative tool use.
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2 hours
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Build sophisticated multi-agent systems where specialized agents collaborate to solve complex problems. Learn patterns for agent coordination, orchestration, and delegation to create systems greater than the sum of their parts.
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2 hours
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Scale GPT-5-powered systems to handle high-throughput workloads through asynchronous programming. Master async function execution, concurrent API calls, and parallel tool processing. Learn to support multiple specialized agents working simultaneously, enabling efficient multi-task processing and coordination without blocking on individual requests.