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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
Self-paced learning
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Course Curriculum
14 modules ยท 15 lessons
Welcome1 lesson
๐Welcome
Relational Databases & Their Role in AI Pipelines1 lesson
๐Relational Databases & Their Role in AI Pipelines
Core SQL Queries for Data Extraction1 lesson
๐Core SQL Queries for Data Extraction
Advanced Joins and Data Aggregations1 lesson
๐Advanced Joins and Data Aggregations
Subqueries, Window Functions, and Views in SQL1 lesson
๐Subqueries, Window Functions, and Views in SQL
NoSQL Fundamentals and Big Data Architectures1 lesson
๐NoSQL Fundamentals and Big Data Architectures
Document Databases and MongoDB Operations1 lesson
๐Document Databases and MongoDB Operations
Columnar and Key-Value Stores for Scalable Analytics1 lesson
๐Columnar and Key-Value Stores for Scalable Analytics
Vector Databases and Embedding Storage1 lesson
๐Vector Databases and Embedding Storage
Retrieval-Augmented Generation (RAG) Implementation1 lesson
๐Retrieval-Augmented Generation (RAG) Implementation
Graph Databases and Knowledge Graph Construction1 lesson
๐Graph Databases and Knowledge Graph Construction
Python Database Integration with SQLAlchemy and PyMongo1 lesson
๐Python Database Integration with SQLAlchemy and PyMongo
Data Pipelines, Ethics, and Scalability in AI1 lesson
๐Data Pipelines, Ethics, and Scalability in AI
Quiz2 lessons
๐Quiz
๐Additional Review Questions
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