Let’s face it.
Artificial intelligence is the new big thing in town and it’s transforming almost everything around us.
But getting the best courses for AI can be very frustrating nowadays on the internet.
With everybody trying to prove a point or trying to show off their abilities of understanding AI, finding the perfect platform to learn from can feel like trying to get an apartment in New York City.
Now, Coursera offers some of the best courses for artificial intelligence that will take you to the next level and help you get that promotion you’ve been eyeing or transition into this sought field.
Ready to launch your Data Science career with UDEMY? Get started TODAY for just $9.99 (95% OFF) with my link below:
In this article, I handpicked some of the best Coursera courses for AI that helped me live the dream and I’m sure they’ll help you live your dream too.
Before we kick-off, if you are interested in learning algorithms and data structures, then you should check out my previous article where I reviewed the best Coursera courses for algorithms and data structures.
Okay, now that we are past that.
Let’s get started.
Here are some quick links to these courses on Coursera…
Here is a detailed summary of what you’ll learn in each of these AI courses on Coursera.
We’ll look at what each course is about, what you’ll be able to do after the course as well as the requirements and skill level you need to have before starting any of these courses
Did you know that AI is not only for engineers?
If you want your organization to become better at using AI, this is the best AI course on Coursera to tell everyone. Especially your non-technical colleagues.
In this course, you will learn the meaning behind common AI terminologies, including neural networks, machine learning, deep learning, and data science.
Are you interested in learning more about machine learning?
If your answer is yes, then check out my other article where I reviewed the best machine learning courses that will help you know the ins and outs of machine learning.
Additionally, you will learn what AI realistically can and cannot do.
The instructors will also take you through:
- How to spot opportunities to apply AI to problems in your own organization.
- What it feels like to build machine learning and data science projects.
- How to work with an AI team and build an AI strategy in your company.
- How to navigate ethical and societal discussions surrounding AI.
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
Rating: 4.8 stars (26, 340 ratings).
Students: 508, 921.
Duration: 6 hours.
This introduction to Python is one of the best Coursera courses for artificial intelligence that I’ve ever come across.
This course will kickstart your learning of Python for data science and teach you all about the basics that you need to face in the real world.
Since Python is on its route to being the number one language in the world, the instructor will also take you through Python programming in general.
This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
By the end of this course, you will have Python skills for data science and AI to add in your portfolio and also help you secure a professional job and start making some real money out in the world.
Rating: 4.6 stars (18, 569).
Students: 220, 161.
Duration: 26 hours.
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.
This AI course on Coursera is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you the best practices for using TensorFlow, a popular open-source framework for machine learning.
This Machine Learning course and Deep Learning Specialization from Andrew Ng will teach you the most important and foundational principles of Machine Learning and Deep Learning.
This is a new deeplearning.ai TensorFlow Specialization that will teach 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, I recommend that you take the Deep Learning Specialization.
Rating: 4.7 stars (11, 862 ratings).
Students: 196, 691.
Duration: 30 hours.
In this course you will:
- Learn what Artificial Intelligence (AI) is.
- Explore use cases and applications of AI.
- Understand AI concepts and terms like machine learning, deep learning, and neural networks.
Additionally, you will be exposed to various issues and concerns surrounding AI such as ethics, bias, jobs, and get advice from experts about learning and starting a career in artificial intelligence.
Furthermore, you will also be able to demonstrate AI in action with a mini-project.
This AI course on Coursera does not require any programming or computer science expertise.
And it is designed to introduce the basics of AI to anyone whether you have a technical background or not.
This course is part of multiple programs.
The course can be applied to multiple Specializations or Professional Certificates programs.
And completing this course will count towards your learning in any of the following programs if you choose to:
Rating: 4.7 stars (5, 448 ratings).
Students: 91, 732.
Duration: 8 hours.
This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate.
This is another best AI course on Coursera that I’ve come across that teaches you about the fundamentals of Linear Algebra and Neural Networks.
If you are interested in learning neural networks, please check out my other article where I reviewed the best neural networks courses.
The instructors will introduce you to the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J, and Apache SystemML.
Keras and TensorFlow make up the greatest portion of this course.
You will also learn about:
- Anomaly Detection.
- Time Series Forecasting.
- Image Recognition.
- Natural Language Processing.
You will build up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature, or Image Databases.
Finally, this best selling course on Coursera will take you through how to scale those artificial brains using Kubernetes, Apache Spark, and GPUs.
Some coding skills are necessary. Preferably python, but any other programming language will do fine.
Also, some basic understanding of math (linear algebra) is a plus, but the instructors cover that part in the first week as well.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.
Rating: 4.4 stars (926 ratings).
Students: 41, 189.
Duration: 24 hours.
This course introduces you to the concepts of Artificial Intelligence and Machine learning.
The instructors will discuss machine learning types, tasks, and machine learning algorithms.
Also, you’ll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.
Next, this course introduces the machine learning tools available in Microsoft Azure.
The instructors also review standardized approaches to data analytics and you’ll receive specific guidance on Microsoft’s Team Data Science Approach.
As you go through the course, the instructors introduce you to Microsoft’s pre-trained and managed machine learning offered as REST API’s in their suite of cognitive services.
Then, you will implement solutions using the computer vision API and the facial recognition API, and do sentiment analysis by calling the natural language service.
Using the Azure Machine Learning Service, you’ll create and use an Azure Machine Learning Workspace.
Finally, you’ll train your own model, and you’ll deploy and test your model in the cloud.
Throughout the course, you will perform hands-on exercises to practice your new AI skills, making it not only exciting but also the best Coursera course for AI.
By the end of this course, you will be able to create, implement, and deploy machine learning models.
Rating: 4.4 stars (806 ratings).
Students: 34, 152.
Duration: 16 hours.
This comprehensive course will teach you how to create useful chatbots without the need to write any code.
Well, you’ll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them.
This is one of those courses that are true to their promises and this particular course will keep its promise of not requiring any code…
As you’ll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin.
Don’t have a website?
No worries, one will be provided to you.
Chatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding.
Here is your chance to learn this highly-sought set of skills with a gentle introduction to the topic that leaves no stone unturned.
Rating: 4.8 stars (1, 674 ratings).
Students: 27, 978.
Duration: 16 hours.
I’ll admit it.
AI is transforming the practice of medicine.
Well, it’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments.
As an AI practitioner, you have the opportunity to join in this transformation of modern medicine.
If you’re already familiar with some of the math and coding behind AI algorithms and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you.
No prior medical expertise is required!
This course on Coursera for artificial intelligence will give you practical experience in applying the cutting-edge for machine learning techniques to concrete problems in modern medicine.
You don’t need to be an AI expert, but a working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential.
If you are relatively new to machine learning or neural networks, I strongly recommend that you first take the Deep Learning Specialization, offered by deeplearning.ai and taught by Andrew Ng.
Rating: 4.7 stars (1, 062 ratings).
Students: 26 , 694.
Duration: 19 hours.
In this course on Coursera for you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson.
This course will make sure that you understand how Watson works, become familiar with its use cases, and real-life client examples.
Plus, you will also be introduced to several of Watson AI services from IBM that enables anyone to easily apply artificial intelligence and build smart apps.
If you take this course, you will also work with several Watson services to demonstrate AI in action. Which is good for you because you will be getting ready to face the real world.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
So if you want to start from scratch with no experience at all, then you should take this best course for artificial intelligence on Coursera.
Rating: 4.5 stars (1, 762).
Students: 20, 275.
Duration: 10 hours.
This is one of the best AI courses on Coursera for building AI applications with Watson APIs.
This course does not only teach you the basics but also gives you hands-on experience that you can use to get the most out of this course.
If you take this AI course on Coursera, you will be able to write an application that leverages multiple Watson AI services like:
- Speech to Text.
- Text to Speech.
You’ll learn about Watson Discovery, a great tool to extract insight from large volumes of unstructured data.
Additionally, you’ll also learn about how integration between Watson Assistant and Discovery works in principle.
By the end of the course, you’ll have learned best practices of combining Watson services.
And also how you can build interactive information retrieval systems with Discovery + Assistant.
Rating: 4.2 stars (480 ratings).
Students: 7, 842.
Duration: 19 hours.
In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech.
Professor Chris Geczy of the Wharton School designed this course to help you navigate the complex world of insurance and real estate tech.
And understand how FinTech plays a role in the future of the industry.
Through study and analysis of Artificial Intelligence and Machine Learning, you’ll learn how InsurTech is redefining the insurance industry.
Plus, you’ll explore classifications of insurtech companies and the size of the InsurTech, Real Estate Tech, and AI markets.
You will also explore FinTech specialties with Warren Pennington from Vanguard.
By the end of this course, you’ll be able to identify emerging technologies of AI, Machine Learning, and Financial Technologies from a variety of insurtech and real estate tech companies and… its impact in the future of finance and investments.
Rating: 4.6 stars (301 ratings).
Students: 5, 865.
Duration: 4 hours.
The demand for AI practitioners with the skills and knowledge to tackle the biggest issues is growing exponentially.
And Gartner predicts that by 2022, 70% of white-collar workers will interact with conversational platforms on a daily basis.
So it’s only right if you join this evolution by taking one of these best Coursera courses for artificial intelligence.
Here is a summary of what you will learn in these AI courses on Coursera:
- You’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech.
- Learn how to quickly and easily get started with Artificial Intelligence using IBM Watson.
- Learn how to visually create chatbots with Watson Assistant.
- You’ll understand AI concepts and terms like machine learning, deep learning, and neural networks.
- You will learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science.
I hope these AI courses on Coursera help you learn the ins and outs of artificial intelligence and launch a successful career in this lucrative field.
Have you ever taken any of these best Coursera courses for AI before?
If yes, please share your experience in the comments below.