Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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Last updated on February 11, 2026 5:15 am

Learn how to build scalable AI-powered algorithms using TensorFlow, the popular open-source framework for machine learning. Join our upcoming Machine Learning in TensorFlow Specialization and gain the best practices to implement principles from the Deep Learning Specialization by Andrew Ng. Start building and applying scalable models to real-world problems today!

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If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

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    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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