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Full Stack AI and Data Science Professional
Chapters

1Foundations of AI and Data Science

2Python for Data and AI

3Math for Machine Learning

4Data Acquisition and Wrangling

5SQL and Data Warehousing

6Exploratory Data Analysis and Visualization

7Supervised Learning

8Unsupervised Learning and Recommendation

9Deep Learning and Neural Networks

10NLP and Large Language Models

11MLOps and Model Deployment

12Data Engineering and Cloud Pipelines

Cloud fundamentalsContainers and DockerOrchestration with AirflowStream processingKafka and event busesSpark fundamentalsBigQuery and SnowflakeStorage and file formatsData quality checksSchema evolutionData catalogs and lineageAccess controlInfrastructure as codeServerless data pipelinesScaling and reliability
Courses/Full Stack AI and Data Science Professional/Data Engineering and Cloud Pipelines

Data Engineering and Cloud Pipelines

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Building scalable, secure data platforms and real‑time pipelines in the cloud.

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2 of 15

Containers and Docker

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