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

1. Preview the first module of many TensorFloww 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 TensorFlow, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn TensorFlow, start by exploring introductory courses that cover the basics of machine learning and TensorFlow itself. Engage with hands-on projects to apply what you learn in real-world scenarios. Utilize online resources, such as tutorials and documentation, to deepen your understanding. Joining community forums can also provide support and insights from other learners and professionals.‎

Typical topics covered in TensorFlow courses include the fundamentals of machine learning, building and training neural networks, working with TensorFlow APIs, and deploying models. Advanced courses may explore specialized areas such as computer vision, natural language processing, and reinforcement learning, providing a well-rounded education in machine learning.‎

For training and upskilling employees, the IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate is an excellent choice. It equips learners with practical skills in deep learning and TensorFlow, making it suitable for organizations looking to enhance their workforce's capabilities in AI and machine learning.‎