Artificial Intelligence is everywhere in our lives today, from searching on google or video recommendation on YouTube to self-driving cars and smart cameras in your city.
Companies are now competing to get involved in this industry and add AI to their
product for better performance and user experience, whether it is a physical
product or online services.
If you are a software engineer or a python user and want to get involved in this industry and break into AI, I will recommend to you taking a massive online course on Coursera called Deep Learning Specialization, which contains five small courses teaching you the foundation of this technology as a beginner.
This article will show you the deep learning specialization review in many aspects, such as the instructor's reputation and the subjects covered inside the specialization and people reviewing when they’ve finished the program.
Andrew Ng worked as a professor at Stanford University and many other jobs such as Google, and he invented the Google Brain in 2012 with his peer Jeff Dean and has created many courses in the field of artificial intelligence, such as the classic and the most popular the machine learning course offered by Stanford University and this deep learning specialization.
If you see the people reviews, some of them liked the course since it shows them in-depth how deep learning and AI works step by step with simple quizzes and the videos were good in production.
Some of them didn’t like the user experience, maybe because of the hard math implemented in this course, or they didn’t like the videos production and the quizzes being very easy and simple, but 4.8 stars are enough to convince people to enroll in this course and start a new career in this field.
That's all about the Deep Learning Specialization by Andrew Ng on Coursera. Artificial Intelligence is widespread in almost every product or service that we use in our daily life, and we can not imagine this new age to get developed more and more without this technology, so learning this field is really good if you are planning to have a career in this industry or just for fun and educational purposes.
If you are a software engineer or a python user and want to get involved in this industry and break into AI, I will recommend to you taking a massive online course on Coursera called Deep Learning Specialization, which contains five small courses teaching you the foundation of this technology as a beginner.
This article will show you the deep learning specialization review in many aspects, such as the instructor's reputation and the subjects covered inside the specialization and people reviewing when they’ve finished the program.
2025 Review of Deep Learning Specialization by Andrew Ng on Coursera - Is it Worth it?
Now, let's start to find out whether the Deep Learning Specialization by
Andrew Ng on Coursera is the right course to learn Deep Learning or not.
We'll review the course on important parameters like Instructor, course
content, and what other people who have already taken this course think
about this specialization.
1. The Instructor Reputation
The specialization instructor is known as Andrew Ng, and he is the Co-founder o the online platform Coursera and a businessman and investor. He earned his bachelor's degree in computer science and statistic back in 1997 from Carnegie Mellon University and a master's degree from MIT next year.Andrew Ng worked as a professor at Stanford University and many other jobs such as Google, and he invented the Google Brain in 2012 with his peer Jeff Dean and has created many courses in the field of artificial intelligence, such as the classic and the most popular the machine learning course offered by Stanford University and this deep learning specialization.
2. The Specialization Content and Syllabus
This specialization will deep dive you into the Artificial Intelligence industry, and you will master not only the theory behind this science but also applied in real-world projects, so let’s see what this course offers:2.1 Neural Networks and Deep Learning
The first course will teach you the theory behind deep learning and apply this technology in the real world, such as creating and training a simple neural network and understand the key parameters of deep learning.2.2 Improving Deep Neural Networks
After understanding the foundation of deep learning and how to create a simple neural network, you now see how to optimize your model's performance by applying many algorithms and tactics such as the dropout regularization as well as the gradient descent using TensorFlow.2.3 Structuring Machine Learning Projects
Creating some machine learning or deep learning models does not make you a team leader to create a successful AI product. This course will teach how to become a leader, diagnose machine learning errors, and understand complex ML settings.2.4 Convolutional Neural Networks
Now you understand how to design and build a simple neural network and optimize it, and you will jump into creating a convolutional neural network and start implementing computer vision to recognize faces as well as self-driving cars and using style transfer to generate arts and many other things.2.5 Sequence Models
The last and most complex subject is learning sequence models which is natural language processing makes the machine understand and learn the human language using many algorithms such as Recurrent neural networks and LSTM.3. People Reviews
For the people who review this course, I want to tell you it is really worth it since it gets around 4.8 stars out of 5 by around quart million people have rated this specialization and more than 817K students have enrolled in this program, and the statistics have shown that 41% of the user who has taken this program has started a new career in this industry while 14% have got a promotion on their jobs.If you see the people reviews, some of them liked the course since it shows them in-depth how deep learning and AI works step by step with simple quizzes and the videos were good in production.
Some of them didn’t like the user experience, maybe because of the hard math implemented in this course, or they didn’t like the videos production and the quizzes being very easy and simple, but 4.8 stars are enough to convince people to enroll in this course and start a new career in this field.
And here is the link to join this course - Deep Learning Specialization by Andrew Ng.
That's all about the Deep Learning Specialization by Andrew Ng on Coursera. Artificial Intelligence is widespread in almost every product or service that we use in our daily life, and we can not imagine this new age to get developed more and more without this technology, so learning this field is really good if you are planning to have a career in this industry or just for fun and educational purposes.
And, if you want to learn AI from scratch, then this Deep Learning
Specialization is the best course to start with it. It's comprehensive yet
engaging, and you will get a chance to learn from a great teacher and
educator, Andrew Ng, who is also the founder of Coursera. I highly
recommend this course to anyone who wants to learn Deep Learning this
year.
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Thanks for reading this article. If you like this review of Deep Learning Specialization by Andrew Ng on Coursera, please share it with your friends and colleagues. If you have any questions or feedback, then please drop a note.
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Thanks for reading this article. If you like this review of Deep Learning Specialization by Andrew Ng on Coursera, please share it with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. - And, If you are looking for the best Udemy online
courses to learn Data Science with Python on then you can also check out
Deep Learning A-Z: Hands-On Artificial Neural Network by Kirill Eremenko and his SuperDataScience team on Udemy. They have
the best deep learning online courses on Udemy.
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