Best Coursera Machine Learning Courses!
Are you interested in learning about machine learning and artificial intelligence? If yes, then Coursera can be the best option for you, whether you are new to these fields or looking to upgrade your skills. Coursera has bought brilliant skill development courses for you to learn and explore more.
In this blog, I will be highlighting the best Coursera machine learning courses, which will be beneficial for you to be industry-ready. If you are looking to make your career in this field, then this article will be very informative for you. Also, I will explain a bit why you should enroll in Coursera for these courses.
Why Study Machine Learning Courses with Coursera?
By enrolling in Coursera, you can learn new skills. You can get the best lectures and teachings for tech topics specifically. Courses on Coursera are professional and informative as it has tied up with more than 190 universities and companies.
Coursera also has a financial aid option. It is an option for those who cannot afford the fees. Coursera has given this option for the needy students, they can fill that form, and if the Coursera team finds that appropriate, they will approve the request. That student will get the concession for the course.
If you are looking for some specific courses, then, in that case, prices are quite reasonable for that on Coursera. In Coursera, there are pre-recorded lecture videos available. You can watch it anytime, anywhere, at your convenience.
Following is a curated list of the best Coursera machine learning courses!
| Course Title | Course Rating | Enrolled Students |
|---|---|---|
| Machine Learning | (152,003) | (3,786,710) |
| Deep Learning Specialization | (263,221) | (550,264) |
| AI For Everyone | (29,214) | (578,195) |
| TensorFlow: Data and Deployment Specialization | (1,435) | (20,707) |
| Neural Networks and Deep Learning | (99,454) | (879,014) |
| Structuring Machine Learning Projects | (44,819) | (310,164) |
| Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | (13,345) | (227,095) |
| Natural Language Processing in TensorFlow | (4,772) | (78,364) |
| AI for Medical Diagnosis | (1,263) | (35,559) |
| Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | (56,034) | (368,474) |
| Convolutional Neural Networks in TensorFlow | (5,842) | (80,815) |
| Natural Language Processing | (736) | (92,481) |
| Convolutional Neural Networks | (37,305) | (334,682) |
| Sequences, Time Series and Prediction | (3,422) | (66,697) |
| Sequence Models | (25,522) | (268,459) |
Machine Learning
This course is one of the best machine learning courses on Coursera. Machine learning represents the science of getting computers to act without programming. It is a subpart of artificial intelligence that you use in your everyday life without even realizing it.
If you are new to this field and want to learn everything about machine learning from step one, then this course can be a perfect choice for you. This course is designed for beginners who are looking to make their careers in a technical field.
Offered By: Stanford University
Instructor: Andrew Ng
Topics:
- Learn supervised learning
- Learn unsupervised learning
- Best practices in machine learning
- How to apply learning algorithms to create smart robots
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Beginner
Price: Free
Duration: 12 Weeks / Approx. 60 hours on-demand
Certificate: Yes / $79
Deep Learning Specialization
If you have experience in artificial intelligence and machine learning, then the next step towards a successful career is deep learning. This is the second thing that has been sought after technical skills.
If you want to develop a profound knowledge of deep learning, then you can enroll in this course and learn deep learning. In this course, you will get to learn the deep learning specialization with the help of five more courses.
The best part about this course is that this course includes five more courses. On a less budget, Coursera is offering a total of six courses at one time. If you are interested to get into deep learning and want to upgrade your skills, then intermediates can enroll in this Coursera machine learning course.
Offered By: DeepLearning.AI
Instructor: Andrew Ng, Kian Katanforoosh, and Younes Bensouda Mourri
Topics:
- Neural network and deep learning
- Hyperparameter tuning, Regularization, and Optimization
- Structuring machine learning projects
- Convolutional neural networks
- Sequence models
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible schedule
Level: Intermediate
Price: Free
Duration: 17 Weeks
Certificate: Yes / $79
AI For Everyone
This course is totally based on business aspects based on AI. In general, AI is specialized for engineers, but this course is non-technical. This course is for those who want their organization to be better at using AI.
This premium Coursera machine learning course is based on topics like building AI projects, AI, society, and much more. This course is for beginners who want to know and learn about artificial intelligence from A to Z.
Offered By: DeepLearning.AI
Instructor: Andrew Ng
Topics:
- How to spot opportunities to apply for AI
- How to work with an AI team and build an AI strategy
- How to navigate ethical discussions
- How to navigate societal discussions
- What is AI
- Learn to build AI projects
- Learn to build AI in your company
- AI and society
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Beginner
Price: Free
Duration: 4 Weeks / Approx. 6 hours on-demand
Certificate: Yes / $79
TensorFlow: Data and Deployment Specialization
This course is for intermediates who want to continue developing their skills in TensorFlow as they navigate through a wide range of deployment scenarios. In this course, you will learn how to get machine learning models in hand.
This Coursera course will help you to be one step ahead of anyone else working in this tech field. If you are an intermediate with an open mind and have a desire to learn TensorFlow, you can enroll in this course. And learn data and development specializations using TensorFlow.js at your own convenient time with professional instructors.
Offered By: DeepLearning.AI
Instructor: Laurence Moroney
Topics:
- How to run models in your browser using TensorFlow.js
- Device-based models with TensorFlow lite
- Data pipeline with TensorFlow data services
- Advanced deployment scenarios with TensorFlow
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible schedule
Level: Intermediate
Price: Free
Duration: 17 Weeks
Certificate: Yes / $79
Neural Networks and Deep Learning
If you are looking for a course through which you can get into cutting-edge AI, then this course is for you. It is one of the best Deep learning courses on Coursera, which can get you the best results in terms of professional experience.
This course teaches you how deep learning works rather than explaining a surface-level description to you. By enrolling in this course, you will be able to understand the Key parameters in neural network architecture.
If you want numerous career options in the engineering field, then this course can get you that because mastering deep learning can get you a lot of career opportunities.
Offered By: DeepLearning.AI
Instructor: Andrew Ng, Kian Katanforoosh, and Younes Bensouda Mourri
Topics:
- Introduction to deep learning
- Neural network basics
- Shallow neural networks
- Deep neural networks
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible schedule
Level: Intermediate
Price: Free
Duration: 4 Weeks / Approx. 20 hours on-demand
Certificate: Yes / $79
Structuring Machine Learning Projects
Do you want to learn how to build machine learning projects? If yes, then have a look at this course and get your hands-on technical leader job in artificial intelligence. This is the type of topic which has not been taught until now so often.
Also, the best part about this course is that it is for beginners who are looking to set their career in machine learning. Coursera provides the best machine learning courses including this course, at quite reasonable prices.
Offered By: DeepLearning.AI
Instructor: Andrew Ng, Kian Katanforoosh, and Younes Bensouda Mourri
Topics:
- Introduction to ML strategy 1
- ML strategy 2
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Beginner
Price: Free
Duration: 2 Weeks / Approx. 5 hours on-demand
Certificate: Yes / $79
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
This course is for the intermediate software developer who wants to learn AI-powered algorithms. It is a part of the upcoming machine learning in TensorFlow. This course specifies a deep understanding of how neural networks work.
If you want to be an expert in artificial intelligence, machine programmer, and deep learning, then enroll in this course now.
Offered By: DeepLearning.AI
Instructor: Laurence Moroney
Topics:
- A new programming paradigm
- Introduction to computer vision
- Enhancing vision with convolution neural networks
- Learn to use real-world images
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 4 Weeks / Approx. 30 hours on-demand
Certificate: Yes / $79
Natural Language Processing in TensorFlow
The natural language processing in the TensorFlow course is the best course for software developers who are looking to upgrade their skills to another level in artificial intelligence. In this course, you will learn to apply RNNs, GRUs, and LSTMs in TensorFlow.
Enroll now in this course to learn text process, sentence representation as vectors, and much more.
Offered By: DeepLearning.AI
Instructor: Laurence Moroney
Topics:
- Learn sentiment in text
- Word embeddings
- Sequence models
- Sequence models and literature
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 4 Weeks / Approx. 14 hours on-demand
Certificate: Yes / $79
AI for Medical Diagnosis
This course goes beyond the foundation of deep learning and sets a different level of benchmark in artificial intelligence for medical diagnosis. You might be aware of the fact that technology has gone to another level in today’s modern generation.
Even for medical diagnosis, also different artificial intelligence technologies are getting into use. Keeping that in mind, Coursera has bought this course for you so that you can get easy access to the course at an affordable price.
If you are interested in technology as well as in the medical field also, go ahead and take this course for making your interest, your professional line.
Offered By: DeepLearning.AI
Instructor: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, and Eddy Shyu
Topics:
- Learn disease detection with computer vision
- Evaluating models
- Image segmentation on MRI images
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 3 Weeks / Approx. 9 hours on-demand
Certificate: Yes / $79
Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
If you want to learn the industry’s best practices, then you can enroll in this course and can learn every single thing about deep neural networks. This course covers all the mentioned topics at a very good pace with a better understanding.
This course not only includes theoretical knowledge but also includes the projects based on the real-world technical problems that you will learn to solve. Above that, at the end of this course, you will understand how to implement the neural network in TensorFlow.
Enroll in this course and become a professional neural networker with advanced skills in deep learning, hyperparameter tuning, and much more.
Offered By: DeepLearning.AI
Instructor: Andrew Ng, Kian Katanforoosh, and Younes Bensouda Mourri
Topics:
- Learn practical learning aspects of deep learning
- Optimization algorithms
- Hyperparameter tuning, Batch normalization, and Programming frameworks
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Beginner
Price: Free
Duration: 3 Weeks / Approx. 18 hours on-demand
Certificate: Yes / $79
Convolutional Neural Networks in TensorFlow
In this course, you will be learning how to work with real-world images in different shapes and sizes. It includes the concept of transfer learning and how learned features can be extracted from models.
It is one of the finest courses on Coursera. It is one of the Topmost courses on machine learning and convolutional neural networks.
If you want to learn TensorFlow, which is a popular open-source framework for machine learning, then get yourself enrolled in this Coursera machine learning course.
Offered By: DeepLearning.AI
Instructor: Laurence Moroney
Topics:
- Exploring larger data set
- Learn augmentation: A technique to avoid overfitting
- Transfer learning
- Multiclass classification
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 4 Weeks / Approx. 26 hours on-demand
Certificate: Yes / $79
Natural Language Processing
This course covers every basic to pro knowledge about neural language processing. In this course, there will be live projects and assignments for better understanding and experience in the neural language processing field.
By enrolling in this course, you will be able to understand the balance between traditional and deep learning techniques. If you are willing to learn about neural language processing in-depth, then this Coursera machine learning course will tend to be the best course for you.
Offered By: National Research University Higher School of Economics
Instructor: Anna Potapenko, Anna Kozlova, Andrei Zimovnov, Alexey Zobnin, and Sergey Yudin
Topics:
- Intro and text classification
- Learn language modeling and sequence tagging
- Vector space models of semantics
- The sequence of sequence tasks
- Dialog system
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Advanced
Price: Free
Duration: 5 Weeks / Approx. 32 hours on-demand
Certificate: Yes / $79
Convolutional Neural Networks
This course will help you to learn how to use convolutional neural networks and apply them to image data. You will be learning to apply the algorithms to a variety of images, videos, and other 2D or 3D data.
If you want to know how to apply convolutional networks to visual detection, and recognition tasks, then enroll in this course now. Become a master in convolutional neural networks.
Offered By: DeepLearning.AI
Instructor: Andrew Ng, Kian Katanforoosh, and Younes Bensouda Mourri
Topics:
- Foundation of convolutional neural networks
- Deep convolutional models: case studies
- Object detection
- Special applications: face recognition and neural style transfer
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 4 Weeks / Approx. 20 hours on-demand
Certificate: Yes / $79
Sequences, Time Series, and Prediction
This course teaches you to build time models in TensorFlow. You will learn to implement best practices to prepare time series data. If you are a software developer, then you should definitely check this course.
To enroll in this course and get yourself a certificate for a machine learning course, you need a desire for learning. This course is for intermediate students.
Offered By: DeepLearning.AI
Instructor: Laurence Moroney
Topics:
- Learn sequences and prediction
- Deep neural networks for time series
- Recurrent neural networks for time series
- Real-world time series data
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 4 Weeks / Approx. 13 hours on-demand
Certificate: Yes / $79
Sequence Models
In this course, you will be learning how you can build models for natural language, audio, and other sequence data. This course allows you to build Deep learning projects with cutting-edge and industry-relevant content.
By enrolling in this course, you will be able to develop skills like recurrent neural networks, artificial neural networks, deep learning, and long short-term memory (ISMT).
Offered By: DeepLearning.AI
Instructor: Andrew Ng, Kian Katanforoosh, and Younes Bensouda Mourri
Topics:
- Learn recurrent neural networks
- Natural language processing and word embeddings
- Sequence models and attention mechanism
Features:
- Shareable specialization and course certificate
- 100% online course
- Flexible deadlines
Level: Intermediate
Price: Free
Duration: 3 Weeks / Approx. 16 hours on-demand
Certificate: Yes / $79
Summary
These are the handpicked courses for enrolling in machine learning courses at Coursera. I have given the details for all the courses in-depth so that you can understand better and make the right decision for yourself.
The 15 courses mentioned above are the topmost Coursera machine learning courses. If you want to start your career or take your career in machine learning and artificial intelligence (AI) then these courses are perfect for you.
Grab the golden opportunity now and mold your career in the right way by learning from a professional instructor at Coursera. So, which course do you find suitable for you?
