Chatbots have become essential tools for customer service, sales, and digital engagement. This course teaches learners how to build smart, responsive chatbots using Python and natural language processing (NLP) libraries.

The course starts with chatbot basics—what they are, how they function, and different chatbot architectures. From there, learners use Python to create rule-based bots and then gradually progress to AI-powered bots using libraries like NLTK, spaCy, and TensorFlow.

Students will build chatbots for different use cases such as appointment scheduling, FAQ responses, and product recommendations. They’ll also explore integration with messaging platforms like Telegram, WhatsApp, and Slack using webhooks and APIs.

The course includes modules on sentiment analysis, intent classification, and conversational memory, as well as user feedback loops for ongoing improvement. Learners will also gain experience deploying bots to cloud environments and maintaining them in production.

By the end, participants will have built fully functional chatbots capable of holding dynamic conversations. This course is ideal for aspiring AI developers, business automation enthusiasts, and customer support innovators.