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SQL & NoSQL Integration for AI and Machine Learning Workflows
Integrate SQL and NoSQL for AI
10h of content15 lessons14 modules
Learn to combine relational and non-relational databases to fuel machine learning and analytics workflows. Master querying techniques and discover the cutting-edge technologies powering modern AI projects.
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10+ hours of content
15 lessons in 14 modules
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Course Curriculum
14 modules · 15 lessons
Welcome1 lesson
📄Welcome
Relational Databases & Their Role in AI Pipelines1 lesson
📄Relational Databases & Their Role in AI Pipelines
Core SQL Queries for Data Extraction1 lesson
📄Core SQL Queries for Data Extraction
Advanced Joins and Data Aggregations1 lesson
📄Advanced Joins and Data Aggregations
Subqueries, Window Functions, and Views in SQL1 lesson
📄Subqueries, Window Functions, and Views in SQL
NoSQL Fundamentals and Big Data Architectures1 lesson
📄NoSQL Fundamentals and Big Data Architectures
Document Databases and MongoDB Operations1 lesson
📄Document Databases and MongoDB Operations
Columnar and Key-Value Stores for Scalable Analytics1 lesson
📄Columnar and Key-Value Stores for Scalable Analytics
Vector Databases and Embedding Storage1 lesson
📄Vector Databases and Embedding Storage
Retrieval-Augmented Generation (RAG) Implementation1 lesson
📄Retrieval-Augmented Generation (RAG) Implementation
Graph Databases and Knowledge Graph Construction1 lesson
📄Graph Databases and Knowledge Graph Construction
Python Database Integration with SQLAlchemy and PyMongo1 lesson
📄Python Database Integration with SQLAlchemy and PyMongo
Data Pipelines, Ethics, and Scalability in AI1 lesson
📄Data Pipelines, Ethics, and Scalability in AI
Quiz2 lessons
📊Quiz
📄Additional Review Questions
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