This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
Syllabus 5
Course Introduction
This module introduces the course structure and objectives.
AI Privacy 2.5 hours
This module focuses on AI Privacy. It provides various techniques and tools to help achieve privacy in data and machine learning training.
AI Safety 2 hours
This module focuses on AI Safety. It provides various techniques and tools to help achieve safety in AI.
Course Summary 10 minutes
This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
Course Resources 10 minutes
Student PDF links to all modules
Advantages and disadvantages
Advantages
Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
From Google, a well-regarded name.
Self-paced: start any time.
A clear syllabus (5 parts) you can see before you start.
Disadvantages
Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.
Some points apply to every course of this kind; see how we rank.
This course is paid. Here is how to take it for free
Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…