This course is designed to span approximately two hours, encompassing a diverse range of learning materials and activities. Throughout this course, learners will engage with various educational resources, including video content on the Generative AI and Fraud Detection , reading materials to deepen understanding, graded quizzes to assess comprehension, and thought-provoking discussion prompts to encourage collaborative learning and critical thinking.

Within this course, we extensively utilize Python programming as the primary language for developing an Email Spam Classification model. This model is specifically designed using the advanced GAN (Generative Adversarial Network) model, which is a prominent deep learning technique. Through hands-on exercises and practical examples, you'll gain proficiency in Python programming and explore the intricacies of GAN models for email spam classification.

You won't require any prerequisites for software installation or setup because all the tasks and activities are conveniently conducted within the Google Colab environment. This means you can seamlessly follow along with the course content without the need to install additional software or configure specific settings on your local machine. Google Colab provides a user-friendly and cloud-based platform for hands-on learning, making it accessible and hassle-free for all learners.

Throughout the course, we have extensively explored and utilized essential libraries and frameworks to empower your understanding of generative AI and its applications in fraud detection. Two key frameworks covered in detail are Tensorflow and Keras. Tensorflow, an open-source machine learning framework developed by Google, forms the foundation of our practical exercises. Keras, a high-level neural networks API, is seamlessly integrated with Tensorflow, offering a user-friendly interface for building and training deep learning models.

No, the course starts with fundamentals, making it beginner-friendly.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.