One of the most common issues with AI chatbots like ChatGPT is that they don't understand your company's own proprietary data - AI embeddings and vector databases solve this problem!
This hands-on project is the perfect introduction to AI embeddings and vector databases. It's specifically designed for students and professionals who aspire to learn and apply cutting-edge AI techniques to develop custom chatbots using proprietary data.
We start with an introduction to AI embeddings, focusing on the theoretical underpinnings that drive these technologies. You'll then learn about AI embeddings, understanding their role in representing words, documents, and other types of data in a manner that machines can comprehend.
The course then covers vector databases, covering their importance in storing and retrieving high-dimensional vector data effectively.
In the project-oriented part of the course, students will learn to create a fully functional chatbot from scratch, using the no-code tool MyAskAI (check out the next project in our "Building Apps with AI" course to learn how to build your own app that has this functionality from scratch).
Throughout the course, students will engage with various case studies that demonstrate real-world applications of the concepts taught.
I'm a non-technical founder turned AI entrepreneur—and if I can master this, so can you. After dedicating hundreds of hours to learning and experimenting with the latest no-code and AI tools and frameworks, I've:
- Built and launched multiple AI-powered SaaS products without writing traditional backend code
- Integrated state-of-the-art models for real-world applications—data processing, personalization, and automation
- Scaled AI workflows to serve thousands of users reliably
I also share everything I learn on my YouTube channel - with 1.5M+ views, where I teach hands-on AI coding, tool integrations, and best practices.