Improve your AI skills with the help of our Best Deep Learning Courses. Certificates of completion are available to prove your expertise in creating sophisticated AI models.

Key Takeaways

Learn comprehensive deep-learning concepts.
Access to hands-on projects to build AI models.
Certificates are available to validate your skills.

What do deep learning courses with certificates entail?

These courses teach advanced AI techniques along with practical model building. Certificates are available that endorse your expertise in artificial intelligence.

#	Course Name	University/Organization	Ratings	Duration
1.	Introduction to Deep Learning in Python	Data Camp	★★★★★ 4.6	04 Hours
2.	Best Deep Learning Course (DeepLearning.ai)	Deep Learning .AI	★★★★★ 4.9	03 Months
3.	Deep Learning Professional Certification (IBM)	IBM	—	28 Hours
4.	TensorFlow 2 for Deep Learning Specialization (Imperial College London)	Imperial College London	★★★★★ 4.8	03 Months
5.	Machine Learning with Python: from Linear Models to Deep Learning (MIT)	MIT	★★★★☆ 4.1	210 Hours
6.	Introduction to Deep Learning with Keras (Datacamp)	Data Camp	★★★★☆ 4.3	04 Hours
7.	Advanced Deep Learning Course with Keras (Datacamp)	Data Camp	★★★★★ 4.6	04 Hours
8.	Neural Networks and Deep Learning Certification Course (DeepLearning.ai)	Deep Learning .AI	★★★★★ 4.9	24 Hours
9.	Deep Learning Course : Image Recognition (LinkedIn Learning)	LinkedIn Learning	★★★★★ 4.6	02 Hours
10.	Deep Learning on Azure with Python: Introduction to Deep Learning (CloudSwyft)	Cloud Swyft	—	24 Hours
11.	Complete Guide to TensorFlow for Deep Learning with Python (Udemy)	Udemy	★★★★★ 4.6	04 Hour
12.	Top Deep Learning Courses (LinkedIn Learning)	LinkedIn Learning	—	—
13.	DeepLearning.AI TensorFlow Developer Professional Certificate (DeepLearning.ai)	Deep Learning .AI	★★★★★ 4.7	02 Months
14.	Deep Learning Course with Tensorflow Certification Course (Edureka)	Edureka	★★★★★ 4.5	—

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Deep Learning Courses Evaluation & Selection Criteria

This list has been curated after assessing the curriculum depth, expertise of the instructors in AI, and the prominence of the issuing institution. Other factors were learner feedback, certifications provided, and the inclusion of practical projects.

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!

Introduction to Deep Learning in Python

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)

Deep Learning Specialization

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.

All the five courses in the specialization have taught me the deep learning fundamentals in detail. Each course had something unique to offer. The best part was the explanation on deep learning black box. Other topics like structuring machine learning projects and what convolutional neural networks are etc were also fun to learn. (Anonymous learner, ★★★★★)

Deep Learning Professional Certification [No more Available]

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

Deep Learning Professional Certification

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)

TensorFlow 2 for Deep Learning Specialization

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

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

This is a great specialization that teaches you in detail about the deep learning models. How you can validate your models and understand the probabilistic approach to deep learning are my most favorite topics from the specialization. (Anonymous learner, ★★★★★)

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

Machine Learning with Python

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!

Introduction to Deep Learning with Keras

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

Advanced Deep Learning with Keras

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)

Neural Networks and Deep Learning

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

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.

This was a very interesting course. All the lecture videos were equally great and engaging. The tips on avoiding the possible bugs due to shapes was the best part for me. I was also impressed by the accent of the instructor. Professor Ng is without any doubt the best instructor I ever got to learn from. (Wu Y, ★★★★★)

Deep Learning Course : Image Recognition

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

Deep Learning - Image Recognition

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

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.

This class is not only interesting but engaging as well and teaches you in detail how to use Colab of PyCharm for avoiding the initial setup. I have found this class to be well-structured as well. (Joshua Wilson, ★★★★★)

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

Deep Learning on Azure with Python

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)

Complete Guide to TensorFlow for Deep Learning with Python

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

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.

I believe this was a detail course that had detailed explanation on how to build neural network. With that, the step-by-step coding was also helpful in understanding the different concepts and codes. Plus the concise reviews at the end of each video were also quite helpful in grasping the concepts. (FDS T, ★★★★★)

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)

DeepLearning.AI TensorFlow Developer Professional Certificate

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

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.

This specialization has 4 courses and each course has engaging content to share. The second course was quite engaging where the instructor explains how to build scalable AI-powered algorithms. The rest of the courses were also very engaging and thus this specialization is worth one’s time and effort. (Anonymous learner, ★★★★★)

Deep Learning Course with Tensorflow Certification Course

- - via Edureka
  - 20k+ already enrolled!

Online Course Effectiveness Score
Content	Engagement	Practice	Career Benefit
Good ★★★★☆	Good ★★★★☆	Fair ★★★☆☆	Fair ★★★☆☆

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.

This was a very well-structured course that explained really well about deep learning. Would definitely recommend it to all those learners out there who are interested in deep learning. (Anonymous learner, ★★★★★)

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.

14 Best + Free Deep Learning Courses with Certificates