Overview
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them.
The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning.
Key facts
- This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course offered by Coursera in partnership with Deeplearning.
Programme Structure
Courses include:
- A New Programming Paradigm
- Computer Vision
- Enhancing Vision with Convolutional Neural Networks
- Using Real-world Images
Key information
Duration
- Part-time
- 14 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Human Computer Interaction Artificial Intelligence Machine Learning View 119 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying
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
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Audit: free access to course materials except graded items
- Certificate: a trusted way to showcase your skills
- A year of unlimited access with Coursera Plus $399
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.