DeepLearning.AI TensorFlow Developer Professional Certificate
Learn Path Description
TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, youâll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, youâll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate. Ready to deploy your models to the world? Learn how to go live with your models with the TensorFlow: Data and Deployment Specialization. Looking to customize and build powerful real-world models for complex scenarios? Check out the TensorFlow: Advanced Techniques Specialization.
Skills You Will Gain
Courses In This Learning Path
Total Duration
31 hours
Level
Intermediate
Learn Type
Certifications
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
You need to be able to use the tools to create scalable AI-powered software if you want to become a software developer. This course is part the Machine Learning in Tensorflow Specialization. It will show you how to use TensorFlow, an open-source framework that enables machine learning.
Andrew Ng's Machine Learning Course and Deep Learning Specialization teach the fundamental principles of Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.
Total Duration
27 hours
Level
Intermediate
Learn Type
Certifications
Convolutional Neural Networks in TensorFlow
You need to be able to use the tools to create scalable AI-powered software if you want to become a software developer. This course is part the Machine Learning in Tensorflow Specialization. It will show you how to use TensorFlow, an open-source framework that enables machine learning.
The deeplearning.ai TensorFlow Specialistization will teach you advanced techniques to enhance the computer vision model that you created in Course 1. This course will teach you how to work with real-world images of different sizes and shapes, how to visualize the image's journey through convolutions, how to plot loss and accuracy, as well as how to avoid overfitting. Course 2 will teach you how to transfer learning and extract learned features from models. Andrew Ng's Machine Learning Course and Deep Learning Specialization will teach you the fundamental principles of Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.
Total Duration
15 hours
Level
Intermediate
Learn Type
Certifications
Natural Language Processing in TensorFlow
You need to be a software developer if you want to create scalable AI-powered algorithms. This specialization will show you how to use TensorFlow, an open-source framework that enables machine learning.
You will learn how to create natural language processing systems with TensorFlow in Course 3. Learn to process text and to tokenize sentences so they can be used to build neural networks. In TensorFlow, you'll also be able to use RNNs, GRUs and LSTMs. You'll also be able to train an LST on existing text in order to create your own poetry. Andrew Ng's Machine Learning Course and Deep Learning Specialization teach the fundamental principles of Deep Learning and Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.
Total Duration
14 hours
Level
Intermediate
Learn Type
Certifications
Sequences, Time Series and Prediction
You need to be a software developer if you want to create scalable AI-powered algorithms. This specialization will show you how to use TensorFlow, an open-source framework that enables machine learning.
This fourth course will teach you how to create time series models using TensorFlow. First, you will learn how to use best practices to prepare time series data. RNNs and 1D convNets will be explored for prediction. The final step is to apply all the knowledge gained during the Specialization to create a sunspot prediction model based on real-world data. Andrew Ng's Machine Learning Course and Deep Learning Specialization teach the fundamental principles of Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.