Build effective GPT 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.
Overview
Syllabus
- Course 1: Exploring Workflows with GPT in Python
- Course 2: Developing GPT Agents with Tool Integration in Python
- Course 3: Mastering Agentic Patterns with GPT in Python
- Course 4: Parallelizing GPT Agentic Systems in Python
Courses
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Explore how to orchestrate GPT 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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Discover how to enhance GPT'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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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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Scale GPT-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.
