Professional CertificateIntermediate4 Course Modules

TensorFlow Developer Professional Certificate

Instructors: Laurence Moroney

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TensorFlow Developer Professional Certificate

Intermediate

4 Courses

142 Video Lessons

80 Reading Lessons

15 Practices

16 Graded Assignments

Instructor: Laurence Moroney

DeepLearning.AI

DeepLearning.AI

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 will gain

Computer Vision
Convolutional Neural Network
Machine Learning
Natural Language Processing
Tensorflow
Transfer Learning
Augmentation
Dropouts
Tokenization
RNNs
Forecasting
Time Series

The TensorFlow Developer Professional Certificate Specialization is aimed at developers who want to learn about TensorFlow to build AI applications: learn the basics on how to use TensorFlow to build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis.

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.

Who should join?

This is a hands-on specialization for developers who want to learn TensorFlow to build AI applications. A high-school level of mathematics and prior experience with Python will help learners get the most out of this class. Prior machine learning or deep learning knowledge is helpful but not required.

Enroll now and propel your career forward with cutting-edge skills and hands-on experience!

Instructor

Laurence Moroney

Laurence Moroney

Former AI Lead at Google

Course Slides

You can download the annotated version of the course slides below.

*Note: The slides might not reflect the latest course video slides. Please refer to the lecture videos for the most up-to-date information. We encourage you to make your own notes.

Frequently Asked Questions

Course Outline

26 Video Lessons • 19 Reading Lessons • 4 Practices • 4 Graded Assignments

Introduction: A conversation with Andrew Ng

Video • 3 mins

Welcome to the course!

Reading • 1 min

A primer in machine learning

Video • 3 mins

The ‘Hello World’ of neural networks

Video • 5 mins

Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!

Reading • 2 mins

From rules to data

Reading • 2 mins

Working through ‘Hello World’ in TensorFlow and Python

Video • 2 mins

About the notebooks in this course

Reading • 5 mins

Get started with Google Colab (Coding TensorFlow)

Resource • 4 mins

Try it for yourself (Lab 1)

Code Example • 30 mins

Week 1 Quiz

Graded・Quiz • 30 mins

Lecture Notes Week 1

Reading • 1 min

Assignment Troubleshooting Tips

Reading • 5 mins

Housing Prices

Graded・Code Assignment • 3 hours

Week 1 Resources

Reading • 5 mins

TensorFlow Developer Professional Certificate

Intermediate

4 Courses

142 Video Lessons

80 Reading Lessons

15 Practices

16 Graded Assignments

Instructor: Laurence Moroney

DeepLearning.AI

DeepLearning.AI

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