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6 Best Keras Courses & Tutorials 【2020】 [UPDATED]

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25 Experts have compiled this list of Best Keras Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn Keras and these courses are suitable for beginners, intermediate learners as well as experts.

6 Best Keras Courses, Tutorials, Training & Certification Online 【2020】 [UPDATED]

1. Deep Learning Fundamentals with Keras (edX)

If you are interested in earning the required skills to jumpstart a career in the field of deep learning then this course is here to guide you along the way. Begin with the fundamental jargons followed by its impact on the real world, exploring neural networks. Learn with hands-on examples by developing deep learning models by leveraging the power of the famous Keras library. Experience in ML using Python and knowledge of partial derivatives is required to make the most of the classes.

Course highlights:

– Compare and explore various DL libraries.

– Get to know how neural networks learn and the techniques to build different models based on problems such as vanishing gradient.

– Cover concepts like backpropagation, activation function, and CNN.

– Hands-on exercises give you the opportunity to put the theory to use and solve challenges based on real scenarios.

– Audit the classes for free and the certification can be added for an additional fee.

– Plenty of graded assessments to help you check your growth.

Duration: 5 weeks, 2 to 4 hours per week

Rating: 4.5 out of 5

You can Sign up Here

2. Keras Courses & Tutorials (Udemy)

E-learning platform Udemy brings you over 20 program and tutorials to upgrade your knowledge and skills in working with this powerful library and beyond. Divided on the basis of difficulty levels you can find suitable content irrespective of your current experience level. A practical guide to DL with Keras, implementing DL algorithms, and project building are some of the available programs that focus from the practical aspects along with programs that talk about the theory. Choose the course that fits your requirements by using the filtering options and short questionnaire available on the website.

Course highlights:

– Identify the applications and problems that can be solved using deep learning.

– Guidance is provided to perform the necessary setup to follow along with the lectures.

– Explore supervised and unsupervised models that take data in the form of image text, audio, etc.

– Build, train and evaluate different types of neural networks.

– Reach out to the instructors to clarify your doubts.

– Lectures + Downloadable resources + Articles + Full lifetime access

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here 

3. Advanced Deep Learning with Keras in Python (DataCamp)

This advanced course will take you through a series of modules that show you how to solve problem statements using API of Keras. Begin with exploring the basics and multi-layer networks before moving on to more advanced topics such as building models, learning about the architecture, taking multiple inputs and giving a single output, category embeddings and much more. End the classes by training a network that can perform both classification and regression.

Course highlights:

– Build a functional network, synchronize it with data and use it to predict trends.

– Work with various functions and see how they behave based on the parameters.

– Perform the necessary setup for the practical sessions.

– Interactive lessons make it a fun learning experience.

– 46 Exercises to attempt to strengthen your understanding.

– The first module can be accessed for free.

Duration:  4 hours

Rating: 4.5 out of 5

You can Sign up Here

Review : I’ve used other sites, but DataCamp’s been the one that I’ve stuck with. -Devon Edwards Joseph

4. Applied AI with Deep Learning (Coursera)

This course will help you to put your coding skills to use to gain expertise in the area of Deep Learning. You will begin with the fundamentals of linear algebra that will be useful in grasping topics like time series, and neural networks. Apart from this get an in-depth understanding of frameworks like PyTorch Keras, TensorFlow and more. Take real-life examples from different disciplines such as finance, literature, and image databases and develop solution models. With glorious reviews and ratings, it is safe to say that this certification is a crowd favorite.

Course highlights:

– Introductory lectures give a brief overview of the curriculum.

– Make use of the reading materials and practice exercises to supplement the learning.

– Attempt the quizzes that follow the lessons to brush up the concepts.

– Perform supervised and unsupervised machine learning on massive datasets using the relevant library.

– Demonstrations explain how to use Apache SystemML and installation of the frameworks.

– Deploy the models using varying scales of datasets.

– Audit the course for free and include the verified certificate at an additional fee.

Duration: 4 weeks, 4 to 6 hours per week

Rating: 4.4 out of 5

You can Sign up Here 

Review : It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea -RC

5. Keras Courses & Training (LinkedInLearning – Lynda)

This list of 98 courses and training offer to guide you to improve your skills in working with Keras. Get a thorough understanding of the process and methodologies of performing the necessary configurations and getting comfortable with what the library has to offer. If you are a beginner then there are essential pieces of training dedicated to helping you to build a strong foundation. There are intermediate and advanced level topics like classifier patterns, handwriting recognition, image augmentation and more. Lastly, programs like coding a neural network, sentiment analysis of movie reviews let you work on projects to build your portfolio.

Course highlights:

– All the topics are covered from scratch which makes it easy to follow along.

– Exercises are available online  as well as for offline practice.

– Structure, process and analyze data to extract information and train neural networks.

– Gain best practices from the instructor.

– The training is divided into modules along with chapter quizzes.

– The complete study materials are available for free for the first month after signing up.

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here 

6. Deep Learning with Keras (Pluralsight)

Get up to speed with all the developments made in Keras and know how you can leverage its power by delving into the topics. Learn to implement layers of neurons, define the functionality, and the various techniques to integrate them to create the neural networks structure. By the end of the classes you will know how to implement CNN, RNN by coding from scratch.  

Course highlights:

– Learn about the impact of the library, the skills that can be gained and the course structure.

– Follow the installations and create your first neural network.

– Code with complex data and build the models.

– The lectures get straight to the point and making the journey concise.

– Work on practical projects to gain experience and improve your resume.

– The lectures and content can be accessed for free for the first ten days after signing up.

Duration: 2 hours 34 minutes

Rating: 4.4 out of 5

You can Sign up Here 

So these were the 6 Best Keras Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!