Yes. You can start learning keras on Coursera for free in two ways:

1. Preview the first module of many keras courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in keras, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Keras effectively, start by familiarizing yourself with Python and the basics of machine learning. Then, explore online courses that focus on Keras, such as those mentioned earlier. Practice by building simple models and gradually increase complexity as you gain confidence. Engaging with community forums and participating in projects can also enhance your learning experience and provide valuable insights.‎

Keras courses typically cover a range of topics, including the fundamentals of neural networks, model architecture, training and evaluation techniques, and practical applications of deep learning. You may also learn about advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). These topics equip you with the knowledge needed to tackle real-world problems using deep learning.‎

For training and upskilling employees or the workforce in Keras, the IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate is an excellent choice. It provides a structured learning path that covers essential concepts and practical skills. Additionally, the Deep Learning with Keras and Practical Applications course offers hands-on experience that can be beneficial for teams looking to implement deep learning solutions.‎