Course Description

"Data Pipelines with TensorFlow Data Services" is an intermediate-level course offered by DeepLearning.AI. This course is designed to equip learners with the skills needed to build efficient and scalable data pipelines using TensorFlow Data Services. With a rating of 4.4 stars and 512 reviews, this course is highly recommended by past participants. Through this course, learners will gain an in-depth understanding of the Extract, Transform, and Load (ETL) process, which is essential for building effective data pipelines. They will also learn how to apply machine learning techniques using TensorFlow, a popular open-source library for building and deploying machine learning models. The course will cover various topics such as data ingestion, data preprocessing, feature engineering, and data storage using TensorFlow Data Services. By the end of the course, learners will have the skills to build data pipelines that can handle large datasets and support machine learning workflows. With a duration of 1 - 4 weeks, this course offers a flexible learning schedule that can fit