Building Chatbots with LLM APIs

About this course

The age of static, rule-based chatbots is over. Today, Large Language Models (LLMs) like those from OpenAI, Anthropic, and Google offer unprecedented power to create dynamic, context-aware conversational agents. This course is for developers, product managers, and entrepreneurs ready to move beyond basic API calls and build truly engaging, useful chatbots that can hold meaningful conversations, answer complex questions, and even perform actions in the real world. We'll dive deep into the practicalities of integrating LLM APIs into your applications. You'll learn how to manage conversational state, implement memory, and ensure your chatbot maintains context across multiple turns. We'll cover advanced prompting techniques specifically tailored for conversational AI, including persona definition and instruction tuning, to make your chatbot sound consistent and intelligent. Beyond just generating text, you'll master the art of "tool use" and "function calling" – allowing your chatbot to interact with external systems, retrieve real-time data, and even execute code. Imagine a chatbot that can not only answer questions about flight prices but also book the flight for you. We'll also tackle crucial aspects like error handling, cost optimization, and strategies for deploying and monitoring your chatbot in production environments. By the end of this course, you won't just know *how* to call an LLM API; you'll know *how to build* a robust, intelligent, and deployable chatbot solution ready for real-world interaction. Get ready to turn abstract AI capabilities into concrete, user-facing experiences.