Secure and Private AI (Free Online Course) – As artificial intelligence becomes more integrated into daily life, ensuring its security and privacy is paramount. This course explores cutting-edge techniques for building AI systems that protect sensitive data while delivering powerful results. You’ll learn about privacy-preserving methods such as differential privacy, federated learning, and encrypted computation. Understand how to mitigate risks like data breaches, adversarial attacks, and ethical dilemmas in AI deployment. By the end of this course, you’ll be equipped with the knowledge to design, implement, and manage AI systems that prioritize security and maintain trust in a rapidly evolving digital landscape.
What You Will Learn?
| Lesson 01 : Introducing Differential Privacy |
| Lesson 02 : Evaluating the Privacy of a Function |
| Lesson 03 : Introducing Local and Global Differential Privacy |
| Lesson 04 : Differential Privacy for Deep Learning |
| Lesson 05 : Federated Learning |
| Lesson 06 : Securing Federated Learning |
| Lesson 07 : Encrypted Deep Learning |
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Udacity Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
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