10 Best + Free Neural Networks Courses with Certificates

Want a career in AI and Machine Learning? Take a look at our top-tier Free Courses on Neural Networks. So buckle up and certify your expertise without spending anything.

Key Takeaways

• Access to the best courses in neural networks for free.
• A chance to learn the basics of AI and Machine Learning.
• Earn certification and prove your expertise in the field.

Where can I find free neural network courses that offer certificates?

This list of free, top-quality neural network courses offers certificates and is accessible online. This list provides foundational to advanced knowledge in AI and Machine Learning.

Neural Networks Courses Evaluation & Selection Criteria

The selection process for our list of Neural Network courses is based on an in-depth analysis of curriculum comprehensiveness. Other factors include the instructor’s expertise in AI and real-world applicability. With that, we consider learner reviews and the value of certification that is offered to ensure learners receive top-notch education.

Best + Free Neural Networks Courses with Certificates

Deep Learning A-Z™: Hands-On Artificial Neural Networks Course

• • • Kirill Eremenko via Udemy
    • 347,660+ already enrolled!
    • ★★★★★ (41,864 Ratings)

In this course, you will be taught how to create deep learning algorithms in Python and that too from two machine learning and data science experts.

• The best thing about this course is its focus on helping you understand the intuition behind artificial neural networks.
• This course is for those who wish to learn to apply neural networks in practice.

Neural Networks and Deep Learning

• • • DeepLearning.AI via Coursera
    • 1,145,585+ already enrolled!
    • ★★★★★ (117,273 Ratings)

This is an intermediate-level course that explains the foundational concept of neural networks and deep learning in detail. Here you will be familiarized with the significant technological trends that drive the rise of deep learning.

• The reason why we chose this course is its focus on explaining how to build, train, and apply fully connected deep neural networks and implement efficient neural networks.
• This course is for those who wish to understand the capabilities, challenges, and consequences of deep learning.

Introduction to Artificial Neural Network and Deep Learning

• • • Kirill Eremenko via Udemy
    • 3,258+ already enrolled!
    • ★★★★★ (654 Ratings)

Are you interested in learning the best machine learning techniques for data science in Java and Neuroph with application in image recognition? If yes, then this course is for you.

• The best thing about this course is its focus on explaining the entire process of neural networks and visualization in neural networks.
• This course is for those who wish to learn to do regression and prediction using neural networks.

Build, Train, and Deploy Your First Neural Network with TensorFlow 2

• • • Jerry Kurata via Pluralsight
    • ★★★★★ (57 Ratings)
    • 03 Hours of effort required!

In this engaging class, the instructor will explain how to build, train, and deploy your first neural network with TensorFlow2. Here you will learn the foundational knowledge required for creating your own neural networks.

• The best thing about this class is its focus on exploring the basic principles of how machine learning allows us to create models and how to apply principles to neural networks.
• This class is for those who wish to learn to deploy their neural network and make its predictive power available to client applications. Discover the Best + Free Machine Learning Courses with Certificates to kickstart your AI journey.

Deep Learning: Recurrent Neural Networks in Python

• • • Lazy Programmer Inc. via Udemy
    • 31,615+ already enrolled!
    • ★★★★★ (4,229 Ratings)

This is a highly informative course that explains how to apply RNNs to Time Series Forecasting, Text Classification and Natural Language Processing. Discover the top courses for NLP certification and enhance your skills with our curated list of Natural Language Processing Courses with Certificates.

• The reason why we chose this course is its focus on helping you understand the simple recurrent unit (Elman Unit), GRU, and LSTM (Long short-term memory unit).
• This course is for those who wish to understand how to mitigate the vanishing gradient problem and write various recurrent networks in TensorFlow 2.

continue with more Neural Networks Courses with Certificates…

Recurrent Neural Networks (RNN) for Language Modeling in Python

• • • David Cecchini via datacamp
    • 11,355+ already enrolled!
    • 04 Hours of effort required!

A very engaging and highly informative class that explains how to use recurrent neural networks for classifying text, generate phrases, and translate Portuguese sentences into English.

• The reason why we chose this class is its focus on explaining the foundations of recurrent neural networks.
• This class is for those who wish to understand how information flows through a recurrent neural network.

Top Neural Network Courses

• • • via Pluralsight

If you are interested in learning all about neural networks and understand how it works then PluralSight has the best courses you can consider. These Top Neural Network Courses have been instructed by highly competitive instructors and allow you to study at your own ease and pace. So, find yourself a course today and start learning all about neural networks now.

Convolutional Neural Networks in TensorFlow

• • • DeepLearning.AI via Coursera
    • 120,551+ already enrolled!
    • ★★★★★ (7,630 Ratings)

In this course, the instructor will explain how to handle real-world image data in detail.

• The best thing about this course is its focus on explaining how to plot loss and accuracy and explore strategies to prevent overfitting.
• This course is for those who wish to learn to transfer learning and understand how learned features can be extracted from models.

Neural Networks in Python: Deep Learning for Beginners

• • • Start-Tech Academy via Udemy
    • 123,172+ already enrolled!
    • ★★★★★ (1,214 Ratings)

Are you interested in learning all about Artificial Neural Networks (ANN) in Python? In this course, you will learn to do that and understand how to build predictive deep learning models using Keras and TensorFlow.

• The best thing about this course is its focus on explaining the business scenarios where Artificial Neural Networks (ANNs) are applicable.
• This course is for those who wish to learn to use Pandas DataFrames for manipulating data and making statistical computations.

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

• • • DeepLearning.AI via Coursera
    • 477,110+ already enrolled!
    • ★★★★★ (61,721 Ratings)

In this intermediate-level course, the instructor will talk about the deep learning black box to help you understand the processes that drive performance and generate good results systematically.

• The best thing about this course is its focus on explaining the best practices to train and develop tests sets and analyze bias for building deep learning applications.
• This course is for those who wish to understand how to use standard neural network techniques and learn about hyperparameter tuning, regularization and optimization in neural networks.

Free Neural Network Courses

• • • via edX

If you are interested in learning all about neural networks and that too for free then you need to visit edX today as it offers free Neural Network courses that can help you build skills in artificial intelligence. Whether you want to master the AI basics or understand deep learning. Similarly, understand all about machine learning and finance or understand deep learning with Keras. Whatever you want to learn about neural networks, edX has a course that fits your needs.

Google Neural Network Course

• • • via Google

In this course, the instructor will explain how neural networks are a more sophisticated version of feature crosses.

• The best thing about this course is its focus on helping you develop intuition about neural networks.
• This course is for those who wish to understand all about hidden layers and activation functions and develop a good understanding of the neural networks.