Description
Vector Databases & LLMs: Build AI Systems with Demos. This specialized course teaches how to combine vector databases and large language models to create advanced and scalable AI systems. By providing practical and market-required skills, the course empowers participants to build intelligent, efficient applications that can be used in real-world business scenarios. The course begins with the fundamental concepts of vector databases and fully explains their structural differences from traditional relational databases, the method of storing high-dimensional vectors, and the key role of this technology in semantic search, intelligent chatbots, recommender systems, and content-aware applications. The next step is to teach the process of integrating large language models such as GPT with these databases to build systems that understand user intent and meaning. Throughout the course, work with common tools such as ChromaDB, Pinecone, and LangChain is presented along with practical implementations of concepts such as basic operations (CRUD), data modeling, similarity search, and retrieval and generation architecture (RAG). The final section focuses on engineering considerations such as scalability, performance optimization, security, and privacy to ensure that the designed systems are ready for deployment in practical environments.
What you will learn
- Understand the nature of vector databases and their key differences from traditional data management systems.
- Learn how large language models can improve information retrieval, reasoning, and personalization.
- How to perform basic CRUD operations and run similarity-based searches in vector databases.
- Implementing advanced scalability, caching, and system performance optimization techniques.
- Ensuring security, privacy, and compliance with legal standards in AI-based data systems.
- Design and deploy semantic search engines and intelligent assistants using the RAG workflow.
This course is suitable for people who:
- Those interested in the field of artificial intelligence and machine learning who intend to specialize in vector search.
- Developers looking to build applications powered by large language models, such as search engines and chatbots.
- Data engineers and database professionals who want to upgrade their knowledge from legacy systems to new AI technologies.
- Students and researchers working in the fields of information retrieval and semantic artificial intelligence.
- Technology entrepreneurs who want to implement smart and scalable systems in their business.
Course details
- Publisher: Udemy
- Instructor: Tech Jedi
- Training level: Beginner to advanced
- Training duration: 2 hours and 52 minutes
- Number of lessons: 40
Course topics
Prerequisites for the Vector Databases & LLMs: Build AI Systems with Demos course
- No prior experience with vector databases or LLMs is required — this course starts from the basics.
- Basic understanding of databases or data structures is helpful but not mandatory.
- Familiarity with Python programming will be useful for hands-on demos and examples.
- Access to a computer with internet connection to install required tools and follow along with exercises.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.8 GB
