The DeepLearning.AI TensorFlow Developer Professional Certificate program is a comprehensive and hands-on learning experience designed to equip individuals with applied machine learning skills using TensorFlow. This program is offered by DeepLearning.AI and is available for enrollment with financial aid. It consists of a four-course series that covers the essential tools and techniques to build scalable AI-powered applications with TensorFlow. Participants will learn how to train and deploy powerful models using one of the most in-demand and popular open-source deep learning frameworks, TensorFlow.
The courses cover a wide range of topics related to TensorFlow and applied machine learning. Participants will learn best practices for TensorFlow, including building neural networks, training models for computer vision applications, and implementing natural language processing systems. The courses delve into specific subjects, such as handling real-world image data, preventing overfitting using augmentation and dropout, and using recurrent neural networks (RNNs), gated recurrent units (GRUs), and long short-term memory (LSTM) models for text processing.
By the end of this course, you will gain the following skills and knowledge:
This course series is designed for individuals interested in expanding their machine learning expertise using TensorFlow. It is suitable for intermediate-level learners, and no previous experience in TensorFlow is necessary. The program provides a strong foundation for those seeking to build scalable AI-powered applications and prepares learners for the Google TensorFlow Certificate exam.
Upon successful completion of the DeepLearning.AI TensorFlow Developer Professional Certificate program, participants will earn an industry-recognized certificate from DeepLearning.AI. This certificate can be shared on social media, added to LinkedIn profiles, and presented as evidence of technical proficiency in TensorFlow and applied machine learning skills.