Best Keras Courses Online & Certification (July 2024)

  • Post last modified:11 September 2023
  • Reading time:44 mins read
  • Post category:Best Online Course
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Whether you are into machine learning or curious about a deep understanding of ANN(artificial neural networks, you must have heard about Keras, one of the most potent libraries; Keras is an open-source interface to support other libraries such as Tensorflow, Theano, and Microsoft CNTK, it has become essential to building a career in AI and deep learning. Whether you want to enter the world of AI and deep learning or get a high-paying job in a famous company, the list of Best Keras Courses can help you. 

But why should you learn Keras?

By the beginning of 2024, 2.5 million developers will use Keras, making it the hub of a sizable ecosystem. Without knowledge, you are already using Keras regularly because sites like Twitter, YouTube, Netflix, Uber, and Yelp use it. Startups are building deep learning applications using Keras mainly. Deep Learning Engineers invest their time in learning Keras, which helps them build models and solve real problems. 

So, It is an excellent time to enter the deep learning engineering job field. With the increase in the global economy, there is a sharp increase in demand for artificial intelligence experts. The deep learning engineer employment rate will grow by 50% by 2024.

Become a deep-learning engineer if you’re looking for a well-paying position. According to Glassdoor, the average earning of a deep learning engineer is $121,441 per year. The estimated total income for this position in the US is $150,614. The 7 Best Keras Courses Online and Certifications list can help if you are passionate enough to build a successful career. Scroll down to review each and choose the best one!

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Best Keras Courses, Certification, Tutorials, Training, Classes Online

Deep Learning with Keras [Coursera]

Improving your knowledge about deep learning and its tools can help you answer many questions. This Deep Learning with Keras Course will introduce you to the basics of deep understanding and the difference between deep learning models and artificial neural networks. It offers you a great start to learning something that is the hottest market trend and requires skilled people.

What you’ll learn 

The IBM Deep Learning with Keras Course is divided into 5 modules, including: 

  1. Introduction to Neural Networks and Deep Learning: In this module, you will discover deep learning applications and how our brain functions and neurons inspire most deep learning algorithms.

  2. Artificial Neural Networks: This module will teach how to write gradient descent algorithms and how variables are optimized for a defined function. You will develop knowledge about backpropagation and vanishing gradient problems.

  3. Keras and Deep Learning Libraries: The purpose of this module is to introduce you to three different deep learning libraries, Keras, PyTorch, and TensorFlow, and show you how to build regression and classification models based on Keras.

  4. Capstone Project: The final assignment in this module will help you practice the Keras library implementation to build a regression model. You will experiment with its depth and width as well.

Course Instructor

Alex Aklson is a data scientist who created this Introduction to Deep Learning with Keras Course. In collaboration with IBM, Alex will build you proficiently in deep learning and guide them with complete transparency and trust.

Pros & Cons

Pros

  • Access to coding exercises and reading materials 
  • Very much exciting and well-explained
  • Highly recommended

Cons

  • Very brief

Key Highlights & Learning Objectives

  • Explain the difference between neural networks and deep learning models.

  • Demonstrate unsupervised deep learning models, such as Boltzmann machines and autoencoders.

  • Explain how convolutional and recurrent neural networks work in supervised deep learning models.

  • Able to utilize the Keras library to build deep learning models and networks.
  • Get unlimited access to 16 video lectures, reading materials, 2 quizzes, shareable certificate

Who is it for?

This Keras Deep Learning course is designed for those with deep learning and programming skills. Beginners with no experience in this part of artificial intelligence must look at the Best Deep Learning Courses list. Completing this fantastic tutorial allows you to build deep-learning models using the Keras library.

Rating: 4.7/5
Students Enrolled: 56,309
Duration: 8 hours

Tensorflow Deep Learning Bootcamp using Keras [Udemy]

This Keras Deep Learning Bootcamp will help you use Google’s latest Tensorflow 2 framework to create artificial neural networks. It will explain using Tensorflow 2 to reduce complexity and save time. You will learn the Keras API to build deep learning models effortlessly.

Course Instructor

The Udemy Keras Deep Learning Training Course will be taught by Jose Portilla, who will help students to convert new ideas from concept to code and build models to publish them. He is a professional instructor and trainer for data science with various publications and patents in multiple fields, such as microfluidics, material science, and data science.

Pros & Cons

Pros

  • Well-explained complex concepts
  • Clear and concise lessons
  • Highly-rated instructor on Udemy

Cons

  • Outdated codes
  • No free audit

Key Highlights & Learning Objectives

  • This Udemy Tensorflow 2 and Keras Deep Learning Bootcamp includes 13 sections and 116 video lectures to become a deep learning expert. 

  • Learn to use TensorFlow 2.0 for Deep Learning and leverage the Keras API to build models that run on Tensorflow 2 quickly.

  • Able to perform Image Classification with Convolutional Neural Networks and use Deep Learning for medical imaging.

  • Implementing Forecast Time Series Data with Recurrent Neural Networks and generative adversarial networks (GANs) to generate images

  • Learn to generate text with RNNs and Natural Language Processing and serve TensorFlow models through an API

  • Get free access to 2 articles, 3 downloadable resources, and videos to understand Keras for deep learning with Google’s latest Tensorflow library. 

  • Receive a certificate to display your skills in deep learning using the Keras library and experience with Tensorflow 2. 

Who is it for?

This  Tensorflow Deep Learning with Keras Course is perfect for Python developers who want to learn Tensorflow 2 for artificial intelligence and deep learning. You must know Python programming and have experience with Tensorflow. Upon completion, you can build models for various deep learning applications and apply for jobs in popular companies like Twitter, Snapchat, Uber, and more.

Check out the Best Tensorflow Courses Online list to get a basic idea about Tensorflow before enrolling.

Rating: 4.6/5
Students Enrolled: 65,586
Duration: 19 hours

Udemy New Customer Deal
Valid till: 1st Feb

Introduction to Deep Learning using Keras [Datacamp]

Learn Deep Learning using Keras by taking this Datacamp Keras Course. It will teach you how to solve complex problems caused by unstructured data. In this Keras online course, you will discover topics such as regression, binary classification, and neural networks. Moreover, It will teach you how to optimize your models to boost their performance.

Course Instructor

The Introduction to Deep Learning Course’s creator and instructor is Miguel Esteban. He is a data scientist and entrepreneur who founded XtremeAI company to build automatic data extraction products. He has worked at Endessa, where he used his deep learning knowledge to solve and automate problems.

Pros & Cons

Pros

  • Good overview of Keras
  • Superb content 
  • Intuitive coding exercises

Cons

  • Very basic and brief

Key Highlights & Learning Objectives

  • This Datacamp Keras Course comprises four chapters.

  • Discover what neural networks can do, how to use them, and when.

  • Understand how to use neural networks to handle binary, multi-class, and multi-label issues.

  • Learn how to use Sklearn to optimize the hyperparameters in your Keras models automatically.

  • Develop a recurrent neural network autoencoder, visualize convolutional neural networks, use pre-trained models to categorize images, and more.

  • Full lifetime access to 4 hours of content, 15 videos, and 59 exercises to start developing deep learning models with Keras.

Who is it for?

This Online Deep Learning using Keras course is an excellent way for learners to understand Keras frameworks and how to use them for building deep learning models. By the end of the period, you can develop industry-ready models and use this skill to gain high-paying jobs in big companies.

Rating: 4.5/5
Students Enrolled: 40,003
Duration: 4 hours

50% OFF Datacamp
Offer till 1st Feb

Deep Learning with Python and Keras [Udemy]

The Deep Learning Udemy Course will give an excellent overview of deep learning applications and explain artificial neural networks. You will learn about various architectural types, including Fully Connected, Convolutional, and Recurrent Neural Networks. In this Deep Learning with Python Course, you will discover artificial neural networks and how to use them to solve regression and classification problems.

Course Instructor

Jose Marcilla Portilla, a high-rated instructor on Udemy, will teach you deep learning skills with Keras Library. He is a professional data science, machine learning, and Python trainer. Currently, he serves as the Head of Data Science for Pierian Training, where he trains employees of prestigious firms like General Electric, SalesForce, Starbucks, McKinsey, etc.

Pros & Cons

Pros

  • Well-explained codes 
  • Easy-to-understand and engaging content

Cons

  • Challenging and complicated
  • Knowledge of Python and linear algebra

Key Highlights & Learning Objectives

  • This Udemy Deep Learning with Python and Keras Course includes 9 sections and 148 video lectures to understand and build deep learning models. 

  • Learn deep learning and how to use it to build predictive models.

  • Able to install and use Python and Keras for developing deep learning models and solving supervised and unsupervised learning problems involving images, text, etc.

  • Gain an understanding of how to use fully connected, convolutional, and recurrent neural networks.

  • Train and run large models in the cloud using GPUs and estimate training costs.

  • Obtain a certificate of completion and practice more with six articles on mobile and TV.

Who is it for?

The Python Deep Learning Online Course is the best solution for software engineers and data scientists interested in learning and applying deep learning techniques to real problems. With this Bestseller Keras course, you can build and train various models using Neural Networks and utilize cloud computing to improve the speed of training and the quality of your models.

Rating: 4.6/5
Students Enrolled: 33,572
Duration: 10 hours

Learn Fundamentals of Keras for Deep Learning [Udemy]

Take this edX Deep Learning Keras Course to learn how to build and train artificial neural networks. It will help you with the deep learning topics and allow you to make the first deep learning model using the Keras library. Convolutional neural networks and recurrent neural networks are examples of supervised deep learning models you will learn about.

Course Instructor

The author of this Introduction to Deep Learning with Keras course, Alex Aklson, holds a Ph.D. in data science and is an expert in data science. As part of the collaboration with IBM, Alex will build up the skills required to be proficient in deep learning and guide you with complete transparency and trust.

Pros & Cons

Pros

  • Free to audit 
  • Enjoy unlimited access to course materials
  • Engaging and excellent syllabus

Cons

  • Prerequisites are Python programming skills and machine learning with Python

Key Highlights & Learning Objectives

  • edX Deep Learning Fundamentals with Keras Tutorial covers all the basics of deep learning and covers fundamental concepts in four modules.
    • Deep Learning Introduction
    • Artificial Neural Networks
    • Deep Learning Libraries
    • Build Deep Neural Networks

  • Discover how deep learning is applied in exciting applications and why mastering the skills is so rewarding.

  • Describe how artificial neural networks learn and update weights and biases.

  • Build a regression model using Keras and learn about the vanishing gradient problem.

  • Become familiar with unsupervised learning models such as autoencoders.

  • Get a shareable certificate of completion after finishing course materials and all modules.

Who is it for?

The Keras for Deep Learning Program is intended for those with programming expertise and deep learning knowledge. Beginners must review the list of the Best Deep Learning Courses with no prior knowledge of this branch of artificial intelligence.

Rating: 4.6/5
Students Enrolled: 65,938
Duration: 5 weeks 2–4 hours per week

Udemy New Customer Deal
Valid till: 1st Feb

Deep Learning with Keras and Tensorflow in Python and R [Udemy]

This online Keras with python & R training will discuss the basic steps to creating a predictive model using neural networks. The instructor has made the content mainly focused on teaching how to run the analysis. You can build a solid theoretical and practical understanding of the concepts that helps you build an effective model. This course will teach you to run the analysis to find out the model’s accuracy.

Course Instructor

The Kesar for Artificial Neural Networks using R and Python Course is designed by Start-tech Academy, a technology-based analytics company that helps students to start their analytics journey. The academy is founded by Abhishek Bansal and Pukhraj Parikh, who have years of experience working with analytics tools and technologies such as machine learning and artificial intelligence.

Pros & Cons

Pros

  • Well-explained concepts
  • Get practice tests and assignments
  • Better Understanding of Keras and TensorFlow

Cons

  • Require more coding examples
  • No free preview of the course

Key Highlights & Learning Objectives

  • The Udemy Artificial Neural Networks with Keras Course has a well-structured syllabus with 19 sections and 58 video lectures. 

  • Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning.

  • Understand the business scenarios where Artificial Neural Networks (ANN) are applicable.

  • Building an Artificial Neural Networks (ANN) in Python and R

  • Use Artificial Neural Networks (ANN) to make predictions.

  • Provide a complete option to practice what you’ve learned in 3 articles, 3 downloadable resources, and 8 hours of video content. 

Who is it for?

This Keras in Python and R Tutorial is for people pursuing a career in data science. It can be an excellent way to start if you are eager to learn ANN as a beginner. You will feel comfortable using Python to build a neural network model at the end of this course. Additionally, you will understand how to use ANN to create forecasting models and resolve business issues.

Rating: 4.6/5
Students Enrolled: 179,703
Duration: 8.5 hours

Udemy New Customer Deal
Valid till: 1st Feb

Practical Deep Learning with Keras and Tensorflow 2 [edX]

Learn to apply Tensorflow and Keras for deep learning. In this Deep Learning with Tensorflow and Keras, you will learn all concepts through coding and use two powerful machine learning tools – Keras and Tensorflow. In this course, you will learn to use real-world bioinformatics datasets and how to feed ML models with real-world data. Most current online courses need this facet of machine learning.

Course Instructor

Dr. Mohammad Nauman will guide you through this Udemy Practical Deep Learning with Keras Course. He has a Ph.D. in computer science and vast experience as a software engineer. His teaching mainly focuses on practical examples and demos and discusses topics with hands-on learning methods.

Pros & Cons

Pros

  • Hands-on practical experience
  • Perfect to understand ML and DL
  • Simple content

Cons

  • Basically for Begineer

Key Highlights & Learning Objectives

  • The Udemy Course is designed to teach everything from scratch in 10 sections and 34 video lectures. 

  • Gain the ability to use Keras to run deep learning models on the Tensorflow 2 backend.

  • Able to execute Deep Neural Networks on a real-world dataset.

  • Learn how to feed your data to deep learning models, including how to handle the infamous shape mismatch problem.

  • Understand the basics of Deep Learning, CNN, dropouts, and functional APIs

  • Able to build models with several inputs and outputs, comprehend and utilize the functional API provided by Keras.

  • Practice your knowledge with unlimited access to 2 articles, 7 downloadable resources, and 4 hours of video content, receive a certificate

Who is it for?

If you want to understand machine learning without doing all the complicated math, this Keras online Udemy tutorial is for you. If you have taken a machine learning course before but need help to apply what you learned to your challenges, this course is also for you. Once you’ve completed this course, you could resolve business difficulties using the Keras library and Tensorflow 2.

Rating: 4.8/5
Students Enrolled: 4,537
Duration: 4 hours

Frequently Asked Questions

Is Keras suitable for deep learning?

Yes, Keras is another critical deep-learning framework to consider. Like PyTorch, it is also written in Python and features a high-level neural net API adopted by TensorFlow. The framework is open-source and licensed under the MIT license.

How difficult is Keras?

The Python front of Keras makes it easy to learn for students and works with a high level of abstraction and multiple backends for computation purposes. Keras is slower than other deep learning frameworks but highly beginner-friendly. You will feel comfortable using the Keras library to build deep-learning models to solve real-life problems.

How long does it take to learn Keras?

The first step is to learn Keras, you have to master Tensorflow but must have familiarity with C++, and it took about 2-3 weeks to get a solid foundation for using it. If you gain a grasp of Tensorflow, learning Keras becomes easier. With Keras, you can quickly learn to write code, which is relatively more straightforward to understand than with TensorFlow.

So, it takes about two-three weeks to master the basics of Keras library. To learn Tensorflow, Geektonight has prepared a list of the Best Tensorflow Courses Online to study.

Does Keras require Python?

Python 3.7 is required for TensorFlow and Keras. You can look at the Best Python Courses Online to learn how to install and set up Python. Hence, running Python commands and using Python for deep learning models is easy.

Final Thought

Take a plunge to learn this fantastic interface and work with other libraries effortlessly as a deep learning engineer. The Keras Courses Online give you a golden opportunity to gain more skills and show your capabilities in your workplace. 

This powerful deep-learning tool can help you gain more projects and solve issues in your current organization. To advance your career, look at the Best Machine Learning Courses online from Geek Tonight. Thanks!

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