Overview
Learn Vector Database using Python, Pinecone, LangChain, Open AI, Hugging Face and build out AI, ML , Chat applications
Syllabus
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- Introduction to Vector Databases
-- Definition and Importance in AI
-- Comparison with Traditional Databases
-- Role in Generative AI and LLMs
- Fundamentals of Vector Mathematics
-- Basics of Vector Operations
-- Vector Similarity Measures
-- Applications in Machine Learning and AI
- Setting Up the Python Environment
-- Installing Necessary Libraries and Tools
-- Overview of Vector Database Libraries like Faiss, Annoy, and Milvus
- Vector Data Models and Indexing
-- Understanding Vector Embeddings
-- Indexing Techniques for Fast Retrieval
-- Case Studies: Image and Text Embeddings
- Implementing Vector Databases with Python
-- Creating and Managing Vector Data
-- Case Study: Integrating Faiss with Python Applications
-- Optimization Techniques for Performance Improvement
- Advanced Use Cases for AI and LLMs
-- Enhancing Language Models with Vector Databases
-- GPT Model Integration for Improved Contextual Understanding
-- Use Case: Building and Scaling Chatbots with Vector Search
- Future-Proofing Generative AI
-- Role in Developing Artificial General Intelligence (AGI)
-- Upcoming Trends and Technologies in Vector Databases
-- Exploring Cross-Domain Applications
- Data Security and Ethics
-- Ensuring Privacy in Vector Databases
-- Ethical Considerations in AI and LLM Applications
- Capstone Project
-- Design and Develop a Vector Database Application for AI
-- Implementing Best Practices for Real-world AI Solutions
- Course Summary and Next Steps
-- Review of Key Concepts and Skills
-- Resources for Continued Learning
- Q&A and Course Evaluation
-- Open Forum for Questions
-- Course Feedback and Evaluation
Taught by
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On-Demand
