AI Agents Crash Course: Build with Python & OpenAI

The AI Agents Crash Course: Build with Python & OpenAI, created by Frank Kane and Sundog Education, provides a highly practical, fast-paced pathway for developers and tech professionals aiming to master the next generation of artificial intelligence. As the industry shifts from static LLM prompts to dynamic, autonomous agents, this course delivers the essential skills needed to build robust, agentic AI systems. Throughout the curriculum, learners dive deep into the OpenAI SDK and Python, exploring core concepts like tool calling, persistent memory, and streaming responses. Beyond the basics, the course addresses critical production challenges, teaching students how to implement Retrieval-Augmented Generation (RAG) using embedding databases, enforce system safety through guardrails, and engineer precise prompts for behavior control. Students will also learn to orchestrate advanced multi-agent architectures that handle complex task decomposition and seamless hand-offs. Designed for software engineers, data scientists, and technical architects, this concise program ensures you can build, secure, debug, and deploy production-ready AI agents to the cloud in just a few hours.