Deploying AI Agents with OpenAI

Artificial intelligence is shifting from passive chat assistants to autonomous agents that can plan, execute tasks, and collaborate to solve complex problems. This text-based course guides you through the foundational concepts of agentic workflows, showing you how to design and deploy functional AI agents from scratch. You will start by mastering key terminology, understanding how large language models function as decision-making engines, and exploring the core architecture of single and multi-agent systems. Through step-by-step written guides and practical code walkthroughs, you will transition from basic prompt engineering to deploying agents capable of using external tools and collaborating with other agents. What you'll learn: - Understand the core architecture, terminology, and design patterns of autonomous AI agents. - Configure OpenAI APIs for structured outputs and reliable tool calling in agentic workflows. - Build multi-agent orchestration systems where specialized agents collaborate to solve complex tasks. - Integrate external tools, APIs, and basic vector database retrieval to extend agent capabilities. - Implement error handling, state management, and memory systems to keep agents on track. - Deploy your completed AI agent systems to cloud environments using modern deployment practices. The course begins with essential definitions and foundational agent architectures before moving into hands-on code implementations, tool integration, and multi-agent coordination. This comprehensive text-only program is designed for software developers, tech enthusiasts, and beginners looking to enter the world of autonomous AI without any prior experience in agent development. Start reading today and build your first autonomous system.