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Free Online Keras Courses and Certifications 2024

Keras is a powerful open source library for deep learning. It is suitable for data scientists, machine learning engineers, and AI researchers. It is used to build and train neural networks for computer vision, natural language processing, and other applications. It is also used in courses related to deep learning, artificial intelligence, and machine learning.

Popular Courses

Keras - Python Deep Learning Neural Network API
Keras - Python Deep Learning Neural Network API
This course provides an introduction to Keras, a Python Deep Learning Neural Network API. It covers topics such as TensorFlow and Keras GPU Support, CUDA GPU Setup, Keras as a Service, and Data Processing for Neural Network Training. It also covers how to deploy a Keras neural network to a Flask web service. This course is ideal for those looking to gain online learning skills and training in Keras.
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Deep Learning with Keras - Python
Deep Learning with Keras - Python
This course introduces students to Deep Learning and its implementation with Keras and Python. It covers Convolutional Neural Networks (CNN/Convnets) and how to create a Deep Learning Chatbot using Keras and Python. It also covers pre-processing text for inputs into LSTM, and how to use text and word2vec input into LSTM. This course is ideal for those interested in online learning and Deep Learning.
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Introduction to Deep Learning & Neural Networks with Keras
Introduction to Deep Learning & Neural Networks with Keras
This course provides an introduction to the field of deep learning and neural networks, using the Keras library. Participants will gain an understanding of the fundamentals of deep learning, explore different models, and build their first deep learning model.
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Deep Learning Fundamentals with Keras
Deep Learning Fundamentals with Keras
This IBM course provides learners with the fundamentals of deep learning using Keras. Upon successful completion, learners will receive a skill badge, a digital credential that verifies their knowledge and skills. Enroll now to gain a better understanding of deep learning and Keras.
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Keras Tutorial With TensorFlow Building Deep Learning Models With Python Great Learning
Keras Tutorial With TensorFlow Building Deep Learning Models With Python Great Learning
This course provides an introduction to Keras and TensorFlow, two powerful tools for building deep learning models with Python. Participants will learn how to prepare and process data for neural networks, build and train models, and evaluate their performance. They will also gain an understanding of the fundamentals of deep learning and how to apply them to real-world problems.
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Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
This course provides an introduction to Keras with TensorFlow, a powerful Python deep learning library. It is designed for beginners and covers topics such as data processing for neural network training, creating and training models, and evaluating model performance. Prerequisites include basic knowledge of Python and deep learning. Resources such as the DEEPLIZARD Deep Learning Path are provided to help students get the most out of the course.
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Learn Keras: Build 4 Deep Learning Applications
Learn Keras: Build 4 Deep Learning Applications
Keras is a powerful deep learning API that enables users to quickly and easily build four deep learning applications. This guide provides an introduction to the fundamentals of Keras, helping users get started with deep learning.
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Enhance Low Light Images using Keras Python and Weights & Biases
Enhance Low Light Images using Keras Python and Weights & Biases
This course provides an introduction to using Keras, Python and Weights & Biases to enhance low light images. It covers topics such as exploring data with W&B Tables, use-cases for Zero-DCE, example model predictions and why it works well on some images but struggles on others. It is a great resource for anyone looking to learn more about image enhancement.
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Fully Connected Neural Networks with Keras
Fully Connected Neural Networks with Keras
Keras provides a powerful tool for creating and training neural networks, allowing Python applications to answer complex questions such as predicting website traffic or stock prices. With Keras, machine learning is now fully accessible.
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Convolutions for Text Classification with Keras
Convolutions for Text Classification with Keras
This course is perfect for those who want to learn how to use convolutions in natural language processing tasks such as text classification. With this hands-on, guided introduction to Text Classification using 1D Convolutions with Keras, you will be able to apply word embeddings, use 1D convolutions as feature extractors, and perform binary text classification using deep learning. As a case study, you will work on classifying a large number of Wikipedia comments as being either toxic or not. This course is best suited for those with prior experience in Python programming, deep learning theory, and have used either Tensorflow or Keras to build deep learning models.
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Understanding Deepfakes with Keras
Understanding Deepfakes with Keras
This course is perfect for those who want to learn how to implement and train DCGAN to generate realistic looking synthesized images. With this 2-hour long project-based course, you will get instant access to a cloud desktop with Python, Jupyter, and Tensorflow pre-installed. You will also need some prior experience with Python programming and a theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent. This course works best for learners based in the North America region.
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Generate Synthetic Images with DCGANs in Keras
Generate Synthetic Images with DCGANs in Keras
This course on Coursera's Rhyme platform will teach you how to generate synthetic images with Deep Convolutional GANs (DCGANs) in Keras. You will learn about Generative Adversarial Networks (GANs) and build and train a DCGAN with Keras to generate images of fashionable clothes. You will get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed, and you can access the cloud desktop 5 times. This course is best suited for learners based in North America, but other regions are being worked on.
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Build Multilayer Perceptron Models with Keras
Build Multilayer Perceptron Models with Keras
This 45-minute project-based course on Coursera's Rhyme platform will teach you how to build and train a multilayer perceptron (MLP) model using Keras and Tensorflow. You will work with the Reuters dataset, a set of short newswires and their topics, and learn to classify them into 46 different mutually-exclusive topics. With the cloud desktop pre-configured with Python, Jupyter, and Keras, you can focus on learning and get instant access to the software and data you need. This course is best suited for learners based in North America, with access to the cloud desktop 5 times.
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Facial Expression Recognition with Keras
Facial Expression Recognition with Keras
This project-based course on Coursera's Rhyme platform will teach you how to build and train a convolutional neural network (CNN) in Keras to recognize facial expressions. You will use OpenCV to detect faces in images and draw bounding boxes around them. After training, saving, and exporting the CNN, you will directly serve the trained model to a web interface and perform real-time facial expression recognition on video and image data. With instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed, you can focus on learning and get the most out of this course. This course is best suited for learners based in North America.
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Image Denoising Using AutoEncoders in Keras and Python
Image Denoising Using AutoEncoders in Keras and Python
This 1-hour long project-based course will teach you how to use Autoencoders in Keras and Python to denoise images. You will learn how to import key libraries, dataset and visualize images, perform image normalization, pre-processing, and add random noise to images. You will also build an Autoencoder using Keras with Tensorflow 2.0 as a backend, compile and fit Autoencoder model to training data, and assess the performance of trained Autoencoder using various KPIs. This course is best suited for learners based in the North America region.
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Creating Custom Callbacks in Keras
Creating Custom Callbacks in Keras
This 1.5-hour long project-based course on Coursera's Rhyme platform will teach you how to create a custom callback function in Keras and use it during a model training process. You will learn to write a log file, plot the training metrics in a graph, and reduce the learning rate during the training with each epoch. With pre-configured cloud desktops containing all the software and data you need, you can focus on learning without worrying about the setup. Prerequisites include familiarity with Python, Neural Networks, and the Keras framework. This course is best suited for learners based in North America.
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Keras Courses

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Algorithm Engineer$151,856 per year

The role of an algorithm engineer is to enhance AI applications and assist clients or employers in identifying patterns or issues within data sets. They are responsible for improving the performance of AI algorithms, ensuring their accuracy and efficiency, and providing insights and recommendations based on the analyzed data.

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Machine Learning Engineers are responsible for designing and developing AI algorithms that enable machine learning and prediction capabilities. They typically collaborate with other members of a data science team, such as data scientists, data analysts, data engineers, and data architects, to ensure the accuracy, efficiency, and scalability of machine learning models.


Educational Paths

1. Online courses: There are many online courses that teach Keras, such as "Deep Learning with Keras" on Coursera, "Keras Bootcamp" on Udemy, and "Keras in Motion" on Manning Publications.

2. Books: You can also learn Keras through books like "Deep Learning with Python" by Francois Chollet, the creator of Keras, or "Keras to Kubernetes" by Navin Kumar Manaswi.

3. Documentation and tutorials: Keras provides comprehensive documentation and tutorials on its website, including beginner's guides, API references, and examples.

4. Workshops and conferences: Attending workshops or conferences focused on Keras and deep learning can be a great way to learn from experts in the field and network with other professionals.

5. Practice and experimentation: Finally, the best way to learn Keras is by practicing and experimenting with it. Try building your own deep learning models and working on real-world projects to gain hands-on experience.

Frequently Asked Questions and Answers

Q1: What topics can I study with Keras?

With Keras, you can explore a variety of topics related to deep learning, such as neural networks, convolutional neural networks, recurrent neural networks, natural language processing, image recognition, and more. Additionally, you can gain a better understanding of the underlying libraries, such as TensorFlow, Theano, and CNTK, which Keras runs on top of. Furthermore, studying the human brain can help you gain a deeper understanding of the principles behind neural networks.

Q2: What is the current release of Keras?

Keras 2.3.0 is the current release of Keras, which makes significant API changes and adds support for TensorFlow 2.0. This is the last major release of multi-backend Keras, as the previous release, Keras 2.2.5, only supported TensorFlow 1 (as well as Theano and CNTK).

Q3: What is Keras API?

Keras is an open-source API designed to make deep learning more accessible and intuitive for developers. It provides a high-level, user-friendly interface for creating neural networks and other machine learning models. With Keras, developers can quickly and easily build complex models with minimal code, allowing them to focus on the underlying algorithms and data rather than the implementation details. Additionally, Keras offers a wide range of tools and features to help developers optimize their models, including clear and actionable error messages, consistent and simple APIs, and extensive documentation and developer guides.

Q4: What Keras courses can I find on AZ Class?

On this page, we have collected free or certified 68 Keras online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.

Q5: Can I learn Keras for free?

Yes, If you don’t know Keras, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!

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