Bridging Privacy and Learning: Differential Privacy and Federated Learning in Python
01
Skill level
All levels
02
Sections
3
03
Lectures
24
04
Instructor
Team Mammoth
What's inside
This course includes.
✓
3
Sections
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
Unlock all courses with our Subscription Bundle! Get unlimited access to entire course library, books and assets. Learn more and subscribe today!
Course content
Curriculum & lectures.
+ Differential Privacy Project 9 lectures
02 Build An Initial Database
Locked
00 What Is Differential Privacy
Locked
01 Differential Privacy Project Introduction
Locked
03 Build A Parallel Database
Locked
04 Build Multiple Parallel Databases
Locked
05 Determine If Query Leaks Private Data
Locked
06 Calculate Sensitivity Of Mean Query
Locked
07 Build Local Differential Privacy
Locked
01 Source Files
Locked
+ Deep Learning Differential Privacy Project 5 lectures
01 Build Database
Locked
02 Build A Differential Privacy Query
Locked
00 Deep Learning Differential Privacy Introduction
Locked
03 Perform Pate Analysis
Locked
02 Source Files
Locked
+ Build a Federated Learning Model 10 lectures
00 What Is Federated Learning
Locked
01 Generate A Dataset
Locked
02 Build A Regular Model
Locked
05 Build An Aggregator Model
Locked
04 Build A Client-Side Model
Locked
03 Visualize Model Results
Locked
08 Evaluate The Model
Locked
06 Generate Clients Dataset
Locked
07 Execute The Federated Learning Model
Locked
03 Source Files
Locked
Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
Ready to start building?
Join Mammoth Club and move through the course with structured lessons, previews, and certificates.