DeepLearning.AI TensorFlow Developer Professional Certificate

Learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.

Instructor: Laurence Moroney

215,041 already enrolled

4 course series

Earn a career credential that demonstrates your expertise

4.7

(21,761 reviews)

Intermediate level

Recommended experience

2 months

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Earn a career credential that demonstrates your expertise

4.7

(21,761 reviews)

Intermediate level

Recommended experience

2 months

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications.
Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
Build natural language processing systems using TensorFlow.
Apply RNNs, GRUs, and LSTMs as you train them using text repositories.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Industry certification

Taught in English

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Receive professional-level training from DeepLearning.AI
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Professional Certificate - 4 course series

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, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll 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.

Applied Learning Project

In the DeepLearning.AI TensorFlow Developer Professional Certificate program, you'll get hands-on experience through 16 Python programming assignments. By the end of this program, you will be ready to:

- Build and train neural networks using TensorFlow

- Improve your network’s performance using convolutions as you train it to identify real-world images

- Teach machines to understand, analyze, and respond to human speech with natural language processing systems

- Process text, represent sentences as vectors, and train a model to create original poetry!

- Create forecasts for univariate time series using deep neural networks

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

Course 122 hours4.8 (19,633 ratings)

What you'll learn

Learn best practices for using TensorFlow, a popular open-source machine learning framework
Build a basic neural network in TensorFlow
Train a neural network for a computer vision application
Understand how to use convolutions to improve your neural network

Skills you'll gain

Category: Tensorflow

Category: Computer Vision

Category: Machine Learning

Convolutional Neural Networks in TensorFlow

Course 216 hours4.7 (8,189 ratings)

What you'll learn

Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models

Skills you'll gain

Category: Dropouts

Category: Transfer Learning

Category: Tensorflow

Category: Data Augmentation

Category: Convolutional Neural Network

Category: Machine Learning

Natural Language Processing in TensorFlow

Course 323 hours4.6 (6,515 ratings)

What you'll learn

Build natural language processing systems using TensorFlow
Process text, including tokenization and representing sentences as vectors
Apply RNNs, GRUs, and LSTMs in TensorFlow
Train LSTMs on existing text to create original poetry and more

Skills you'll gain

Category: Tensorflow

Category: Natural Language Processing

Category: RNNs

Category: Text Vectorization

Category: Machine Learning

Sequences, Time Series and Prediction

Course 421 hours4.7 (5,120 ratings)

What you'll learn

Solve time series and forecasting problems in TensorFlow
Prepare data for time series learning using best practices
Explore how RNNs and ConvNets can be used for predictions
Build a sunspot prediction model using real-world data

Skills you'll gain

Category: Tensorflow

Category: Forecasting

Category: prediction

Category: Time Series

Category: Machine Learning

Instructor

Laurence Moroney

DeepLearning.AI

19 Courses555,108 learners

Offered by

DeepLearning.AI

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Frequently asked questions

Yes, if you paid a one-time $49 payment for one or more of the courses, you can still subscribe to the Specialization for $49/month. If you pay for one course, you will have access to it for 180 days, or until you complete the course. If you subscribe to the Specialization, you will have access to all four courses until you end your subscription.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.