TensorFlow Developer Professional Certificate
Instructors: Laurence Moroney
Also available on Coursera
TensorFlow Developer Professional Certificate
Intermediate
4 Courses
142 Video Lessons
80 Reading Lessons
15 Practices
16 Graded Assignments
Instructor: Laurence Moroney
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
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
Course Slides
You can download the annotated version of the course slides below.
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
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