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Once you have completed this Introduction to TensorFlow and Keras Course, you can go ahead and learn about Neural Networks, Keras, Deep Learning Models, and work on various Machine Learning projects. You can also enroll in the AI and Machine Learning course to pursue a promising career. 

The majority of AI and ML professionals and data scientists worldwide use Tensorflow, one of the top frameworks in the world. It makes your Machine Learning and Deep Learning coding simple, it is easy to use, comes with extensive documentation, and accepts Keras as a high-level API, making it a two-framework solution. So, yes, it is worth learning.

Google created the open-source library TensorFlow specifically for Deep Learning apps. TensorFlow was created without Deep Learning in mind to handle huge mathematical calculations. Whereas deep models can be produced using Keras and then deployed on mobile devices.

TensorFlow simplifies Machine Learning to another level, and it makes it simple for anyone to create ML models with pre-trained models, data, and high-level APIs. Researchers and students extensively use TensorFlow to develop models and conduct research. 

Best practices for lowering the cognitive load are employed by Keras, which provides consistent and easy APIs, reduces the number of user steps necessary for typical use cases, and offers clear and concrete feedback in the event of user error. Because of this, Keras is simple to use and learn & eventually gained popularity.

There are many job profiles you can land after you earn competency in TensorFlow and Keras, some of which are:

• Machine Learning Engineer
• Machine Learning Scientist
• Data Scientist
• Python Developer
• Software Developer

You will learn what TensorFlow, Keras, and CNN are, their features, how they work, how you can install them, how they are used to create Deep Learning models, and also gain an extensive understanding of Neural Networks.

Great Learning Academy is offering the course for free in its entirety. This course is a great place to start for anyone looking to learn more about TensorFlow, Keras, and CNN to launch a career in AI and ML.

There isn't any such limit on how many times you can view the course. You are welcome to return and review the course again whenever you need to.

You can enroll in as many courses from Great Learning Academy as you like and pursue several courses at once.

Great Learning, a popular ed-tech firm, believes in transforming lives. Popular free online courses are offered by the Great Learning Academy initiative to help learners excel in the fields they are interested in free of cost.

Great Learning, a popular ed-tech firm, believes in transforming lives. Popular free online courses are offered by the Great Learning Academy initiative to help learners excel in the fields they are interested in free of cost.

No eligibility criteria are set for this course. You can further your learning in TensorFlow, Keras, CNN, and Neural Networks, by directly enrolling in the course.

To enroll in the Introduction to TensorFlow & Keras Course, follow the steps mentioned below: 

1. Once you are on the "Introduction to TensorFlow & Keras" course page, locate the "ENROL FOR FREE" option at the top right of the page and click on it.

2. You will be taken to the signup page. enter your details and create your account.

3. You will be navigated to the course content after your profile is verified.

4. Start viewing the videos and your learning journey.