14 Best + Free Deep Learning Courses with Certificates

Deep learning is considered to be a machine learning technique that is behind the most exciting capabilities in multiple areas including robotics, image recognition, artificial intelligence, and natural language processing. It is known to be a highly advanced form of machine learning and is inspired by human learning and brain structures. We can say it is a go-to technique that is widely used to solve complex problems which arise with unstructured data. You can also check out the Best Machine Learning Courses at takethiscourse platform.

To know more about deep learning, our team at takethiscourse.net has compiled a list of 14 Best + Free Deep Learning Courses with Certificates. This list is a combination of both free and paid courses so let us take a look at this list.

Best Deep Learning Classes with Certificates

Introduction to Deep Learning in Python

• • • Dan Becker via DataCamp
    • 04 hours of effort required!
    • 214,481+ already enrolled!

In this course, you will be getting hands-on practical knowledge of how deep learning can be used with Keras 2.0 which is the latest version of a cutting-edge library for deep learning in Python.

• The reason why we chose this course is its focus on explaining how you can optimize the predictions that we generate by neural networks. With that, the course also teaches the backward propagation method in detail.
• This course is for those who wish to learn to optimize their deep learning models in Keras.

Related: Best Python Machine Learning Courses

More Deep Learning Courses with Certificates

Best Deep Learning Course

• • • DeepLearning.AI via Coursera
    • 684,393+ already enrolled!
    • ★★★★★ (123,377 Ratings)

This specialization will help you master the fundamentals of deep learning and also break into AI in the best possible manner.

• The best thing about this specialization is its focus on explaining how to build a CNN and then apply it to detection and recognition tasks.
• This specialization is for those who wish to learn to build and train deep neural networks.

Deep Learning Professional Certification [No more Available]

• • • IBM via edX
    • 07 months (2-4 hrs/week) of effort required!
    • Study Type: Self-paced

This “Deep Learning Professional Certification” is all about explaining the fundamental concepts of deep learning which includes various neural networks for supervised and unsupervised learning.

• The reason why we chose this course is its focus on explaining how to build, train, and deploy several deep architecture types including Convolutional networks, autoencoders and recurrent networks.
• This course is for those who wish to master deep learning art scale along with accelerated hardware and GPUs.

TensorFlow 2 for Deep Learning Specialization

• • • Imperial College London via Coursera
    • 14,229+ already enrolled!
    • ★★★★★ (448 Ratings)

In this specialization, you will understand the fundamental concepts which are required to build, train, evaluate, and make a prediction from deep learning models.

• The best thing about this specialization is its focus on deepening your knowledge and skills with TensorFlow.
• This specialization is for all the machine learning researchers and practitioners out there who wish to develop practical skills in the most popular deep learning framework which is TensorFlow.

Related: End-to-End Machine Learning with TensorFlow on GCP

Machine Learning with Python: from Linear Models to Deep Learning

• • • MIT via edX
    • 15 months (10-14 hrs/week) of effort required!
    • Study Type: Instructor-paced

This “Machine Learning with Python” training will help you understand the principles behind machine learning problems like regression, reinforcement learning, classification, clustering, etc.

• The reason why we chose this training is its focus on explaining how to implement and analyze different models including linear models, kernel machines, neural networks, and more.
• This training is for those who wish to learn to implement and organize machine learning projects in detail.

Introduction to Deep Learning with Keras

• • • Miguel Esteban via DataCamp
    • 04 hours  of effort required!
    • 23,258+ already enrolled!

This course will help you learn what regression is and how to save the earth by predicting asteroid trajectories.

• The best thing about this course is its focus on explaining how to apply binary classification for differentiating between real and fake dollar bills.
• This course is for those who wish to learn to use neural networks for reconstructing noisy images and much more.

Advanced Deep Learning Course with Keras

• • • Zachary Deane-Mayer via DataCamp
    • 04 hours  of effort required!
    • 23,721+ already enrolled!

In this deep learning course, the instructor will show you how to solve several problems using versatile Keras functional API.

• The best thing about this course is its focus on explaining how to build models with multiple inputs and a single output as well.
• This course is for those who wish to learn to train a network that could do both classification and regression.

Neural Networks and Deep Learning Certification Course

• • • DeepLearning.AI via Coursera
    • 1,074,782+ already enrolled!
    • ★★★★★ (113,669 Ratings)

This course is all about exploring the foundational concepts of neural networks and deep learning.

• The best thing about this course is its focus on explaining the technological trends driving the rise of deep learning. You will also understand the capabilities, challenges, and consequences of deep learning.
• This course is for those who wish to learn to identify the key parameters in a neural network’s architecture and apply deep learning to applications.

Deep Learning Course : Image Recognition

• • • Adam Geitgey via LinkedIn
    • 44,009+ already enrolled!
    • ★★★★★ (268 Ratings)

In this deep learning class, you will learn to build a neural network that has the ability to recognize objects in any photograph.

• The best thing about this class is its focus on explaining how you can adjust state-of-the-art deep neural networks for recognizing new objects.
• This class is for those who wish to explore the cloud-based image recognition APIs that can be used as an alternative to build your own system.

Deep Learning on Azure with Python: Introduction to Deep Learning

• • • CloudSwyft via FutureLearn
    • 04 weeks (05 hrs/week) of effort required!
    • Study Type: Self-paced

This course is all about discovering deep learning with Python and that too using Microsoft Cognitive toolkit. Here you will also explore deep learning algorithms and understand what neural networks are.

• The best thing about this course is its focus on exploring the common frameworks for neural networks.
• This course is for all those who wish to gain practical experience in Python for deep learning.

Complete Guide to TensorFlow for Deep Learning with Python

• • • Jose Portilla via Udemy
    • 16,439+ already enrolled!
    • ★★★★★ (92,303 Ratings)

In this complete guide, you will be taught how to use Google’s deep learning framework in detail. Here you will also understand how neural networks work.

• The reason why we chose this course is its focus on explaining how you can use TensorFlow for classification and regression tasks.
• This course is for those who wish to understand how to build a neural network from scratch and that too using Python.

Top Deep Learning Courses

• • • via LinkedIn

LinkedIn Learning offers top deep learning courses to help you advance your career in this field. Whether you wish to gain skills in deep learning or understand what neural networks are. Want to understand deep learning fundamentals or know what data-driven learning design is, whatever you wish to learn about deep learning, there is a course for you all that is available at LinkedIn Learning. So visit the site today and find the right deep learning course for yourself today.

DeepLearning.AI TensorFlow Developer Professional Certificate

• • • DeepLearning.AI via Coursera
    • 146,385+ already enrolled!
    • ★★★★★ (18,506 Ratings)

In this specialization, you will get to handle real-world image data and explore the different strategies which are used for preventing overfitting which includes augmentation and dropout.

• The best thing about this specialization is its focus on explaining how to build natural language processing systems using TensorFlow.
• This specialization is for those who wish to understand the best practices for TensorFlow and learn to train a neural network for computer vision applications.

Deep Learning Course with Tensorflow Certification Course

• • • via Edureka
    • 20k+ already enrolled!

This certification course is all about helping you master popular algorithms like CNN, RCNN, RNN, LSTM, RBM and many more using the latest “TensorFlow 2.0” package in Python. Here you will also get to work on real-time projects like emotion and gender detection, auto image captioning using CNN and LSTM and so much more.

Final Thoughts

We can conclude by saying deep learning is certainly the most effective AI technology for numerous applications and it for sure has a great future. Therefore, start your journey in deep learning today and never stop learning.