Secure and Private AI
Join the Secure & Private AI online course by Udacity & explore how to extend PyTorch with various tool crucial in ...Read more
Brochure
Enquire
Expert
Online
Free
Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Course overview
With the need for accessing personal data increasing, it is essential for you to excel in protecting user privacy. While there are umpteen privacy use cases unsolved, in recent years, privacy-preserving technologies have developed. The Secure and Private AI certification course introduces you to three groundbreaking privacy-preserving technologies, including differential privacy, federated learning, and encrypted computation.
You will also master the usage of OpenMined's PySyft and deep learning tools such as PyTorch. These offer distributed and cryptographic technologies for safely training Artificial Intelligence (AI) based models on distributed private data. You can also participate in Facebook’s Secure and Private AI Scholarship Challenge. It will help you enrol in the Secure and Private AI training and win the Deep Learning or Computer Vision Nanodegree programme scholarship.
Secure and Private AI programme from Facebook is an advanced-level free course. It runs for nearly two months and provides rich learning content, interactive quizzes, a self-paced learning approach, and industry professionals’ mentorship. Besides, you will learn by doing exercises.
The highlights
- Exercises
- Interactive quizzes
- Advanced level course
- Training from Facebook
- Instructor videos
- Self-paced
- Rich learning content
- Taught by industry professionals
- Secure and Private AI Scholarship Challenge opportunity
- Two-month-long programme (approx.)
Program offerings
- Exercises
- Advanced level course
- Rich learning content
- Interactive quizzes
- Self-paced
- Taught by industry professionals
- Secure and private ai scholarship challenge opportunity
- Two-month-long programme (approx)
- Training from facebook
Course and certificate fees
Type of course
Free
Enrolment in Secure and Private AI course is free of cost.
Secure and Private AI fee structure
Course | Fee |
Secure and Private AI | Free |
certificate availability
No
Who it is for
Data scientists, start-ups, and enterprises utilising ML and Deep Learning to solve user problems and access user data while maintaining their privacy can opt for the Secure and Private AI programme.
Eligibility criteria
Secure and Private AI online course is an advanced-level study. To get the most out of your learning experience, you must have beginner-level expertise in Machine Learning, Deep Learning, any one of the Deep Learning frameworks (like PyTorch), and Python.
However, no academic or professional background in advanced mathematics or cryptography is required.
What you will learn
As you complete the Secure and Private AI syllabus, you will learn:
- Exploring the mathematical definition of privacy
- Differential Privacy
- Training AI models in PyTorch for accessing public information from private datasets
- Training on data, highly distributed across data centres and organisations using PySyft and PyTorch
- Federated Learning
- Aggregating gradients by utilising a trusted aggregator
- Performing arithmetic on encrypted numbers
- Encrypted Computation
- Utilising cryptography for sharing ownership over a number through Secret Sharing
- Leveraging Additive Secret Sharing for federated learning (encrypted)
The syllabus
Lesson 1: Introducing Differential Privacy
Lesson 2: Evaluating the Privacy of a Function
Lesson 3: Introducing Local and Global Differential Privacy
Lesson 4: Differential Privacy for Deep Learning
Lesson 5: Federated Learning
Lesson 6: Securing Federated Learning
Lesson 7: Encrypted Deep Learning
Admission details
Step 1 – Go to access the Secure and Private AI official course page.
Step 2 – Now press on ‘START FREE COURSE’. It will lead you to a signup page.
Step 3 – Here, sign up/sign in using your Facebook or Google ID. Or provide your first & last name, password, and email address to create an Udacity profile. You can log in with your existing Udacity credentials as well. If you have an organisation email address, proceed to sign in with that by clicking on ‘Sign in with your organisation’. This concludes your enrollment.
Filling the form
Secure and Private AI online programmes have no application form. A Udacity signup page requests your name (first and last), email ID, and password for signing up. Signing in requires your Udacity credentials- an email ID and password.
How it helps
Over the past few years, private data usage has increased significantly, posing a challenge for data scientists and enterprises to protect and maintain users' privacy. The Secure and Private AI course will equip you with expertise in privacy-preserving technologies of differential privacy, federated learning, and encrypted computation. Your skills will enable you to create smarter and socially responsible AI models.
Instructors
FAQs
Who offers the Secure and Private AI course?
Facebook provides this course.
What does the Secure and Private AI syllabus cover?
The curriculum focuses on differential privacy, federated learning, and encrypted computation.
What are the Secure and Private AI course prerequisites?
You must possess beginner-level expertise in Python, Machine Learning, Deep Learning, and any Deep Learning framework like PyTorch.
Is knowledge in advanced mathematics and cryptography required?
The Secure and Private AI course doesn’t require prior know-how in advanced mathematics and cryptography.
How long is the Secure and Private AI training?
The course takes roughly two months to complete. It follows a self-paced training approach.
Articles
Popular Articles
Latest Articles
Similar Courses
Knowledge Based Artificial Intelligence Cognitive ...
Georgia Tech via Udacity
Artificial Intelligence for Robotics
Georgia Tech via Udacity
Artificial Intelligence Workflow Artificial Intell...
IBM via Coursera
Applied AI with DeepLearning
IBM via Coursera
Artificial Intelligence
Columbia University, New York via Edx
Developing AI Applications on Azure
LearnQuest via Coursera
Artificial Intelligence
Udacity
Self-Driving Car Engineer
Udacity
Courses of your Interest
TOGAF 9 Combined Level 1 and Level 2 Training
SkillUp Online via Simplilearn
Advanced Certificate Program in DevOps
CMU School of Computer Science, Pitts... via TalentSprint
Mastering Deep Learning Using Apache Spark
Simpliv Learning
Devops with AWS CodePipeline Jenkins and AWS CodeD...
Simpliv Learning
Machine Learning with Python from Linear Models to...
MIT Cambridge via Edx
Big Data Capstone Project
The University of Adelaide, Adelaide via Edx
Advanced Certification Program in Big Data
Belhaven University, Mississippi via Intellipaat
Computer Applications of Artificial Intelligence a...
Purdue University, West Lafayette via Edx
Advanced Power Searching With Google
Google via Edx
