Explore this AI chatbots course to build Python-based multimodal chatbots with Gradio, Rasa, Gemini, and Whisper v3. Learn LLM-powered techniques, RAG integration, and deploy on Hugging Face.

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This hands-on course will transform how you build AI chatbots. Generative AI and large language models (LLMs) have revolutionized chatbot development, enabling smarter and more interactive systems.

In this AI chatbots course, you’ll explore the evolution of chatbots and create your own, starting with a simple Python chatbot enhanced with Gradio for a seamless interface. Next, dive into the Rasa Open Source framework to understand pre-generative AI chatbot development.

Progress to LLM-powered chatbots with Ollama’s small language models (SLMs) and Meta’s Llama for text-based responses. Integrate multimodal capabilities, like image processing with Gemini and speech recognition, using Whisper v3.

Master techniques like retrieval-augmented generation (RAG) with LlamaIndex to improve responses and deploy your chatbot on Hugging Face for accessibility. Whether you’re a developer or AI enthusiast, this course equips you to build cutting-edge AI chatbots.

Guide to Building Python and LLM-Based Multimodal Chatbots

Test your skills and learn how to create a quiz bot with generative AI and Gradio.

Challenge: Creating a Quiz Bot

Getting Started

Foundations of AI Chatbots

Building a Generative AI-Powered Chatbot

Speech Recognition With Whisper

Enhancing Chatbots with Advanced Capabilities

Build an LLM-powered Chatbot with RAG using LlamaIndex

Conclusion

Challenge: Creating a Quiz Bot