Top 10 Coursera Courses for AI, Machine Learning and Deep Learning in 2024 — Best of Lot

These are the best Coursera courses and certifications to learn Machine Learning, Deep Learning, and Artificial Intelligence in 2024

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11 min readFeb 5, 2021

10 Best Coursera Certifications & Courses for Machine Learning and Deep Learning

Hello guys, if you are keen to learn Artificial Intelligence, Machine Learning, and Deep Learning in 2024 and looking for the best Coursera courses, certifications, specializations, and projects then you have come to the right place.

In the past, I have shared the best Coursera courses on software development, web development, cloud computing, and Python, and today, I am going to talk about the best Coursera courses and certifications to learn deep learning, machine learning, and Artificial Intelligence in 2024.

Thousands of people have already joined these courses and got their certificates and knowledge required to get into this exciting technical field and you can also do the same. If you don’t know most of the Coursera courses are free and you only need to pay if you need certification, this makes learning much easier.

All the major websites and blogs nowadays talking about artificial intelligence and the new revolution that will differently, affect our lives in the future and how companies invest billions of dollars to involve this technology in their products and dominating the market.

Artificial intelligence is a technology that makes machines act like humans such as recognizing objects using computer vision techniques or talking and understanding human speech using natural languages processing techniques such as Siri and Google assistance or make more complex products like self-driving cars in Tesla and more.

10 Best Coursera AI, Machine Learning and Deep Learning Courses & Certifications to Join in 2024

Today you will see many Coursera courses, certifications, specializations, and guided projects to learn about this new technology known as artificial intelligence and understand how it acts as a human as well as how to develop your own products that use AI to talk or recognize stuff and much more.

1. IBM Applied AI [Professional Certificate]

The best introductory course to learn AI even for non-technical people and you will start by the definition of AI and its use cases then learn how to use IBM Watson AI services such as creating chatbots without programming skills then learn how to code using python and use it in data science and Computer vision.

This Coursera certification will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs.

Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web.

Here is the link to join this Coursera certification — IBM Applied AI

2. Deep Learning [specialization]

This is without any doubt the best specialization for a career in AI and deep learning intended for intermediate people who already knowing python and teach you the theory of neural networks and how to improve your model then learn to create successful AI products and convolutional neural networks to recognize objects and more.

Created by none other than Andrew Ng, an AI pioneer and one of the founders of Coursera, this specialization will help you become good at Deep Learning.

In five online courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects.

You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.

You will master not only the theory but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

Here is the link to join this Coursera certification —DeepLearning

best Deep Learning Certification on Coursera

3. Machine Learning [Free Course]

The is one of the most popular and comprehensive courses for learning machine learning, more than 4 million students have already joined this course.

This is also the course through which come to know about Coursera. Created by Andrew Ng this course provides a broad introduction to machine learning, data mining, and statistical pattern recognition.

Here are the topics which are covered in this course:

Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks)
Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

The course will also draw from numerous case studies and applications so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Here is the link to join this free course — Machine Learning

best free Coursera course to learn Machine Learning

4. Advanced Machine Learning

Another massive course teaching you advanced machine learning techniques with the math behind them and starts with you by an introduction to deep learning than some methods of ML such as Bayesian methods and Reinforcement learning that make the machine learn itself as well as computer vision and NLP and more.

You will master machine learning skills by solving a wide variety of real-world problems like image captioning and automatic game playing throughout the course projects. You will gain the hands-on experience of applying advanced machine learning techniques that provide the foundation to the current state-of-the-art in AI.

Talking about results, more than 38% of people have started a new career after completing this specialization while 43% got a pay increase or promotion.

Here is the link to join this advanced course — Advanced Machine Learning

best Coursera course to learn Machine Learning

5. Facial Expression Recognition with Keras [Project]

This project-based course from Coursera is for people who already know deep learning and want to try new things so you will use Keras to create convolutional neural networks and train your model to recognize facial expressions like happy or sad then convert it to be like a web app using Flask as well as using this model for the video stream.

In this 2-hour long project-based course, you will build and train a convolutional neural network (CNN) in Keras from scratch to recognize facial expressions.

You will use OpenCV to automatically detect faces in images and draw bounding boxes around them. Once you have trained, saved, and exported the CNN, you will directly serve the trained model to a web interface and perform real-time facial expression recognition on video and image data.

Here is the link to join this project — Facial Expression Recognition with Keras

6. IBM AI Engineering [Professional Certification]

Another great course from IBM to learn artificial intelligence using Keras and PyTorch libraries starting by understanding some machine learning concepts then deep dive into big data and developing neural network models using Keras and Pytorch as well as TensorFlow with a capstone project at the end of this course.

Along the way, you’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python.

You’ll also learn popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.

One of the amazing things about this program is that in addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in AI engineering.

Here is the link to join this certification —IBM AI Engineering

best AI Engineering certification on Coursera

7. DeepLearning.AI TensorFlow Developer [Specialization]

This is one of the best training courses to learn Tensorflow in practice. This is a hands-on four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow.

This course starts with an introduction to AI and ML then learns how to create convolutional neural networks using TensorFlow for computer vision then learns NLP to make the machine capable of understanding the human languages and finally, learns to create prediction models.

You can also use this course to prepare for the Google TensorFlow Certificate exam, you will learn in-demand skills and will be one step closer to achieving the Google TensorFlow Certificate. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.

Here is the link to join this specialization — TensorFlow Developer

8. Fake News Detection with Machine Learning

Another great project-based course where you will learn an artificial intelligence model to predict whether this news is true or false.

In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.

This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles

The good thing is that you will do that using the LSTM which is a kind of deep learning and you will get some real data clean them and make an LSTM deep neural network training them then test your model on real news data.

Here is the link to join this project — Fake News Detection with Machine Learning

best Machine Leanring project on Coursera

9. Managing Machine Learning Projects with Google Cloud

This is a great Coursera course for business owners and entrepreneurs who already have projects and want to know if they need AI in their products so you understand what machine learning is and discovering some use cases of this technology and how you can be successful in this industry including collecting data and the best practice to use them.

In this course, you will learn how to translate business problems into machine learning use cases and vet them for feasibility and impact.

You will find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain the confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.

Talking about results, more than 50% of people have started a new career after completing these courses and more than 43% have got a tangible career benefit from this course

Here is the link to join this project — Managing Machine Learning Projects with Google Cloud

best Machine learning with Google Cloud course on Coursera

10. Basic Image Classification with TensorFlow [Project]

This is another awesome project-based course to learn Keras and TensorFlow to classify basic images. Along the way, you will also learn the fundamentals of neural networks, TensorFlow, and Keras.

In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem.

By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy.

Here is the link to join this project — Basic Image Classification with TensorFlow

Best Coursera course to learn TensorFlow

That’s all about the best Coursera Certifications and courses to learn Artificial Intelligence, Machine Learning, and Deep Learning in 2024. Those courses that you have seen in this article is probably the best course on the internet to learn artificial intelligence and deep learning as a beginner or non-technical user who wants to learn the theory and use cases of this technology.

By the way, If you are planning to join multiple Coursera courses or specializations then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but it's completely worth your money as you get unlimited certificates.

Coursera Plus | Unlimited Access to 7,000+ Online Courses

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