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👉 Welcome to Module 3: Embedding!

This module is designed to help you understand, implement, and practice the fundamentals of embeddings, which are essential for representing text as numerical vectors. You'll gain hands-on experience generating embeddings and building a vector database using state-of-the-art tools like FAISS, enabling efficient similarity searches in vector space.

Module Overview

Module Overview Objective: Learn to generate and use embeddings to represent text as numerical vectors for advanced AI applications.

Lesson Structure Each lesson contains:

• Introduction Video (Pre-recorded Lecture): Key concepts explained.

• Hands-On Coding Session: Guided walkthrough with downloadable resources.

• Activities & Assignments: Practice exercises to apply your knowledge.

• Quiz: Short quiz to test your understanding.

• Resources: Links to external documentation and courses for deeper learning.

What You´ll Learn in Module 3

Lesson 1: Understanding Embeddings

• What are embeddings, and why are they important?

• Common techniques for generating embeddings (e.g., using OpenAI or HuggingFace APIs).

• Applications of embeddings in AI and machine learning.

Lesson 2: Generating Embeddings

• Using pre-trained models to generate embeddings.

• Best practices for preparing text data for embedding generation.

• Tools and libraries for embedding generation.

Lesson 3: Building and Querying a Vector Database

• Introduction to vector databases and FAISS (Facebook AI Similarity Search).

• Searching in vector space using cosine similarity.

• Integrating embeddings with vector databases for efficient similarity queries.

Course Navigation and Tools

Course Dashboard

• Video lectures and downloadable materials are organized in the dashboard.

• Hands-on labs and coding environments are integrated (e.g., Jupyter, Colab).

Resources Provided

• Sample datasets: Processed employee profiles dataset.

• Python scripts: Downloadable starter and solution scripts for each activity.

• API guides: Step-by-step instructions for using OpenAI or HuggingFace APIs.

• FAISS setup guides: Instructions for installing and configuring FAISS.