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Overview
TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate programme teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.
After finishing this DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera in partnership with Deeplearning, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This programme can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.
Applied Learning Project
In the DeepLearning.AI TensorFlow Developer Professional Certificate programme, you'll get hands-on experience through 16 Python programming assignments. By the end of this programme, 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!
Programme Structure
Courses include:
- TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Convolutional Neural Networks in TensorFlow
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Human Computer Interaction Web Technologies & Cloud Computing Machine Learning View 408 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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