One of the leading platforms for online education in the world is Coursera. The best machine learning course on Coursera collaborates with more than 200 institutions of higher learning and businesses to offer various learning opportunities. With so many online options and courses on Coursera, it can be difficult for beginners to navigate through all the information and find the right Machine Learning course for their needs.
The topics in machine learning classes are the algorithms, their mathematical underpinnings, and how to apply them to computer languages. In this article, we listed the 9 top machine learning courses that Coursera offers.
9 Best Machine Learning Courses on Coursera
Best Machine Learning Course on Coursera For You to Learn in 2023 Coursera machine learning program is one of the most preferred courses students choose worldwide. Read on to understand which one is best suited for you.
1. Machine Learning for All
You won’t need to know any programming to take this course, which is aimed to introduce you to machine learning. Here you can use a non-programming platform to train a machine learning module using a dataset, comprehend the fundamentals of how contemporary machine learning technologies operate and create an informed judgment on the advantages and risks of machine learning for society.
Without the requirement for programming, this course will introduce you to machine learning. Thus, programming-based machine learning tools like Python and TensorFlow will not be covered.
Course Details:
- Level: Beginners
- Duration: Around 22 hours to complete
- Price: $48.89
- Certificate: University Of London
- Click Here To Get Enrolled.
2. Foundations of Data Science: K-Means Clustering in Python
Students with mathematics skills are at least on par with those seen in high school. To prepare you for intermediate and advanced Data Science courses, a Goldsmiths, the University of London academic team created this MOOC to expose you to the fundamentals of the field quickly.
It focuses on the arithmetic, fundamental statistics, and programming knowledge required for everyday data analysis jobs. This coursera machine learning certificate will help you in cracking your upcoming interviews.
Course Details
- Level: Beginners
- Duration: Around 29 hours to complete
- Price: $48.89
- Certificate: University Of London
- Click Here To Get Enrolled.
3. Managing Machine Learning Projects with Google Cloud
This course is one of the best machine learning courses on coursera for beginners. It is for you if you want to learn how to utilize machine learning without all the technical jargon and have questions about it. Learn how to convert business issues into use cases for machine learning and assess their viability and impact. Learn how to identify the phases of an ML project, the factors that go into each one, and how to find unexpected use cases. Gain the confidence you need to present a unique ML use case to your team or leadership or translate the needs to a technical team.
Course Details
- Level: Beginners
- Duration: Around 13 hours to complete
- Price: $48.89
- Certificate: University Of London
- Click Here To Get Enrolled.
4. Introduction to Embedded Machine Learning
In this program, you’ll learn how to build neural networks, and deploy them to microcontrollers—a process known as embedded machine learning or TinyML—and how to use them. For this course, you don’t need any prior experience with machine learning. In this coursera machine learning certificate, you are recommended to be familiar with Arduino and microcontrollers to comprehend some concepts and complete the projects.
You’ll also need to know how to do some math (reading plots, math, and algebra) for quizzes and projects. Edge Impulse is the top machine-learning development platform for edge devices. It is free for developers to use and is endorsed by businesses. Zach Shelby and Jan Jongboom founded our company in 2019.
Course Details
- Level: Intermediate
- Duration: Around 17 hours to complete
- Price: $28.93
- Certificate: Edge Impulse
- Click Here To Get Enrolled.
5. Computational Neuroscience
Deep learning and artificial neural networks are the main topics of this course. In this course, you will discover fundamental computational techniques for comprehending the operations of neural systems. To better comprehend the ideas and procedures covered in the course, the teachers will use examples and exercises in Matlab/Octave/Python.
This coursera machine learning free course is only free to learn basic concepts. To get the graded items, you need to pay the fees. The primary target audience for the course is beginning graduate students, third- or fourth-year undergraduates, professionals, and distance learners interested in studying how the brain processes information.
Course Details
- Level: Beginner
- Duration: Around 26 hours to complete
- Price: $28.93
- Certificate: University of Washington
- Click Here To Get Enrolled.
6. Getting Started with AWS Machine Learning
This course will teach you how to begin with AWS(Amazon Web Services) Machine Learning. The essential issues are AWS machine learning, computer vision, and natural language processing (NLP). Each topic is broken down into several modules that go in-depth on various ML principles, AWS services, and expert perspectives on how to apply the concepts.
Course Details
- Level: Intermediate
- Duration: Around 9 hours to complete
- Price: $28.93
- Certificate: Amazon Web Services
- Click Here To Get Enrolled.
7. Algorithms in the Real World Specialization in Machine Learning
Working professionals who have heard about machine learning’s buzz and wish to use it for automation and data analysis should specialize in it. This specialty will prepare you to define, train, and maintain a practical and effective machine learning application, whether it be in finance, medicine, engineering, business, or another field.
You will know the necessary to precisely characterize a machine learning problem, find pertinent data, train a classification algorithm, enhance your outcomes, and use it in the real world.
Course Details
- Level: Intermediate
- Duration: Around 4 months to complete
- Price: $78.82
- Certificate: Alberta Machine Intelligence Institute
- Click Here To Get Enrolled.
8. Introduction to Neural Networks with Keras & Deep Learning
What is deep learning, and how do these learning models contrast to artificial neural networks are two types of questions that many people today ask. This course will introduce you to the topic of deep learning and assist you in finding the answers.
You will become familiar with the various deep learning models and create your first one using the Keras library. Even if the content is created sophisticatedly, it is frequently simple and beneficial. The training was well-designed and easy to grasp and follow.
Course Details
- Level: Intermediate
- Duration: Around8 hours to complete
- Price: $48.89
- Certificate: IBM
- Click Here To Get Enrolled.
9. Advanced Machine Learning and Signal Processing
You can easily access the priceless insights into Unsupervised and Supervised Machine Learning Models used by experts in many field-relevant disciplines by enrolling in this coursera machine learning certificate course, Advanced Machine Learning and Signal Processing, which is a component of the IBM Advanced Data Science Specialization that IBM is currently developing. To comprehend how machine learning modes operate, you will study the principles of linear algebra.
Course Details
- Level: Expert/advance
- Duration: Around 28 hours to complete
- Price: $48.89
- Certificate: IBM
- Click Here To Get Enrolled.
Conclusion
Wrapping up the entire article! It’s a lot of fun and exciting to learn about and play with machine learning, and we hope you were able to find a course that suits your path into this fascinating field. We believe that these 9 best machine learning course on Coursera will support you in improving your machine learning abilities.