Learn Artificial intelligence and become familiar with the concepts of neural networks and deep learning.
Neural Networks and Deep Learning is an online certification programme available on Coursera which is offered by DeepLearning.AI, an online education technology platform with the aim of building a global community of AI talent and professionals. This programme is one of the five specializations of deep learning.
Neural Networks and Deep Learning Certification Course is intended to assist the learners to get acquainted with fundamental concepts of neural networks and deep learning. In Neural Networks and Deep Learning Certification Syllabus, the learners will be provided with the opportunity to explore the technology of Artificial Intelligence by knowing the strategies, challenges, and outcomes of deep learning.
Neural Networks and Deep Learning Certification by Coursera will equip the students with the skills and potential of designing and executing the deep neural networks, bring about the deep learning application in their works, apply the vectorized neural networks and understand the major technological trends in deep learning.
Neural Networks and Deep Learning fee structure
Audit Mode
Nil
One month(more than 20 hours/week)
₹4,117
Three months(12 hours/week)
₹8,234
Six months (6 hours/week)
₹12,352
Yes
Coursera
Neural Networks and Deep Learning Classes is an intermediate course that is open for enrolment for the professionals like Software engineers, Technical professionals, etc.
Academic Qualifications
The Neural Networks and Deep Learning Online Course can be joined by any candidate who is passionate about exploring data science. However, the prospective candidates are recommended to have an understanding of Python skills, a basic understanding of programming, loops, if/else statements, and data structures to take full advantage of the programme.
Certification Qualifying Details
Neural Networks and Deep Learning Certification will be awarded to the candidates only if they finished the complete proceedings of the programme including the course videos and readings, graded assignments, and various quizzes.
After the completion of Neural Networks and Deep Learning Training, the learners will have a thorough understanding of the following concepts:
Step 1 - First, the candidates need to register and sign up on https://www.coursera.org/ to get the courses offered on Coursera.
Step 2 - By activating the Coursera account, the candidate can sign in.
Step 3 - Then, the candidate can search ‘DeepLearning.AI’ to be able to find the courses offered by DeepLearning.AI.
Step 4 - Find the course Neural Networks and Deep Learning in the list and click on it.
Step 5- Then, the page of the course will appear, click on the option ‘enrol’ and pay the mentioned amount of fee, or can just audit the course without paying the fee.
If the candidates are not able to pay the fee prescribed by Coursera, they can apply for financial aid by clicking on the option “Financial aid available” and filling in the requested information including the annual income, employment status, etc.
Neural Networks and Deep Learning Certification benefits consist of the following:
Dr Andrew Ng Professor of Computer Science Stanford
Mr Kian Katanforoosh Senior Curriculum Developer Deep learning
Mr Younes Bensouda Mourri Curriculum developer Deep learning
This course will need about 24 hours to complete.
The course is instructed by Younes Bensouda Mourri, Andrew Ng, and Kian Katanforoosh who are considered to be top instructors of Coursera.
Only the students who had paid for the course will be awarded the certificate. The learners who audit the course are not able to get the certificate.
The programme is administered by DeepLearning.AI which aims at spreading the education of AI around the world through numerous courses and certifications.
The subtitles are provided in the languages of English, Chinese (Traditional), Arabic, French, Ukrainian, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, Turkish, English, Spanish and Japanese.
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