Developing Interactive Chatbots with Chat Completions

Do you want to build conversational AI applications but do not know where to start? Creating a responsive, context-aware chatbot is now more accessible than ever through modern chat completion APIs.\n\nIn this course, you will transition from understanding basic API requests to developing fully functional, multi-turn conversational agents. You will learn how to manage conversation history, handle user inputs, and implement modern practices like structured outputs and basic prompt engineering to make your chatbot reliable and engaging.\n\nWhat you'll learn:\n- Understand the core concepts of chat completions, including system, user, and assistant roles\n- Manage conversation state and history to enable seamless multi-turn dialogues\n- Implement prompt engineering techniques to control chatbot behavior and tone\n- Handle API responses and parse structured data safely using Python\n- Optimize context window usage to keep your chatbot efficient and cost-effective\n- Practice building conversational flows through step-by-step written tutorials and code exercises\n\nThis course starts with foundational concepts of generative AI APIs before guiding you through constructing a stateful chatbot step by step. You will explore practical text-based examples that demonstrate how to handle real-world conversation challenges.\n\nDesigned for beginners and aspiring developers with basic Python knowledge, this course requires no prior experience with artificial intelligence or machine learning.\n\nStart reading today to build your very first intelligent chatbot.