HomeCoursesGuide to Building Python and LLM-Based Multimodal Chatbots

Beginner

7h

Updated 2 months ago

Guide to Building Python and LLM-Based Multimodal Chatbots
Save

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.
Join 2.7 million developers at
Overview
Content
Reviews
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.
This hands-on course will transform how you build AI chatbots. Generative AI and large language models (LLMs) have revolutionize...Show More

WHAT YOU'LL LEARN

Deep understanding of core concepts of chatbot development, including how chatbots work, their different types, and the essential elements of conversational design
Familiarity with the Rasa Open Source framework for building ML-powered chatbots
The ability to incorporate small language models (SLMs) into chatbots with Ollama
Hands-on experience with Groq for accessing Llama 3 for text, Gemini for image processing, and Whisper v3 for accurate speech recognition
The ability to use retrieval-augmented generation (RAG) with LlamaIndex to enhance chatbot knowledge and responses
The ability to deploy chatbots to Hugging Face for accessibility and sharing
Deep understanding of core concepts of chatbot development, including how chatbots work, their different types, and the essential elements of conversational design

Show more

TAKEAWAY SKILLS

Generative AI

Chatbot

Python

Gradio

Llama

Content

1.

Getting Started

1 Lessons

Get an overview of how AI chatbots have evolved and the tools used for building them, including Python and LLMs.

2.

Foundations of AI Chatbots

4 Lessons

Learn about the evolution, anatomy, and frameworks for developing AI chatbots, including using Rasa with Python.

3.

Building a Generative AI-Powered Chatbot

5 Lessons

Build AI chatbots powered by advanced generative AI, integrating multimodal capabilities for real-world applications.

4.

Enhancing Chatbots with Advanced Capabilities

4 Lessons

Explore retrieval-augmented generation (RAG) to improve chatbot responses and deploy your chatbots for wider accessibility.

5.

Conclusion

1 Lessons

Summarize key learnings and explore the future of building AI chatbots with multimodal and generative AI techniques.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.7 million developers working at companies

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Adaptive Learning

Explain with AI

AI Code Mentor

Free Resources

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath