The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards. This course is designed to equip learners with the necessary knowledge and skills to safeguard AI systems against emerging threats, ensuring their integrity and reliability. It's ideal for developers, security professionals, and anyone interested in understanding and enhancing the security of AI software and services.

Security for Artificial Intelligence Software and Services

Security for Artificial Intelligence Software and Services

Instructor: Board Infinity
Access provided by Exxaro
15 reviews
Recommended experience
What you'll learn
Understand key concepts and challenges in AI security.
Develop skills in secure coding and vulnerability assessment for AI systems.
Learn to implement and manage secure AI APIs and endpoints.
Skills you'll gain
- Threat Management
- Security Strategy
- Information Systems Security
- Data Security
- Security Testing
- Penetration Testing
- Security Controls
- Responsible AI
- Cybersecurity
- Encryption
- Security Awareness
- Security Engineering
- AI Security
- Data Ethics
- Vulnerability Assessments
- Threat Modeling
- Data Management
- Secure Coding
- Skills section collapsed. Showing 10 of 18 skills.
Details to know

Add to your LinkedIn profile
5 assignments
See how employees at top companies are mastering in-demand skills

There are 2 modules in this course
Module 1: Introduction to AI Security delves into the critical aspects of securing artificial intelligence systems. This module covers foundational concepts and the importance of AI security, common security threats to AI systems, and ethical AI considerations, including data privacy. It also explores the principles of designing secure AI systems, secure data management practices, and the basics of encryption and access control in AI environments, providing a comprehensive introduction to the complexities and necessities of AI security.
What's included
10 videos4 readings2 assignments1 discussion prompt
"Module 2: Implementing AI Security Practices" advances into the practical application of security measures in AI systems. It begins with secure coding practices, vulnerability assessments, and penetration testing tailored for AI. The module also addresses the implementation of secure AI APIs and endpoints. The second lesson focuses on ongoing security maintenance, compliance with evolving AI security standards and regulations, and anticipates future trends and emerging threats in AI security. This module is essential for anyone aiming to implement and maintain robust security practices in AI environments.
What's included
8 videos3 readings3 assignments
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
50%
- 4 stars
6.25%
- 3 stars
12.50%
- 2 stars
12.50%
- 1 star
18.75%
Showing 3 of 15
Reviewed on Jun 3, 2024
Brilliant!!!! instructor who made it very easy to follow a complex topic

