AI Coding for Security
via Noble Desktop
Affiliated with Course Report
Learn how to secure applications and manage production environments using modern development and AI security practices.
What's included with live classes
- Free course retake within one year to refresh the material and gain practice.
- Class recordings
Overview
This course introduces the core principles of secure software development within modern engineering teams. Students will learn how to manage code collaboratively, implement CI/CD pipelines, and identify vulnerabilities throughout the development lifecycle.
In addition to traditional security practices, the course explores risks unique to AI-assisted development. You’ll gain experience with authentication, secrets management, and production debugging while working on team-based projects.
Who this course is for
Ideal for developers who want to strengthen their understanding of secure coding practices and production workflows, as well as those preparing to work in team-based engineering environments.
Schedule & enrollment
Find dates that fit your schedule, then book on Noble Desktop.
- Live tuition
- $2,999
- Course length
- 60 hours
All class times are Eastern (ET).
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Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
Confirm current dates and availability on Noble Desktop before booking. Enrollment opens in a new tab.
Self-paced tuition & enrollment
Learn through recorded lessons on your own schedule.
- Tuition
- $2,999
- Course length
- 60 hours
- Format
- Self-paced online
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
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Prefer to enroll directly? Open the course website.
Curriculum
What you'll learn
- Work within team-based development workflows using version control and code review
- Implement continuous integration and deployment pipelines
- Monitor applications using observability and debugging tools
- Apply cybersecurity fundamentals and threat modeling techniques
- Manage authentication, authorization, and sensitive data securely
- Identify and mitigate risks specific to AI-powered applications
Self-paced course
Learn through recorded lessons on your own schedule.
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
View self-paced tuition & enrollmentThis course walks you through the core principles of secure software development as it happens inside modern engineering teams. You'll learn how to manage code collaboratively, set up CI/CD pipelines, and spot vulnerabilities at every stage of the development lifecycle.
Beyond traditional security practices, the course digs into risks that show up specifically with AI-assisted development. You'll get hands-on experience with authentication, secrets management, and production debugging through team-based projects.
Who the self-paced course is for
A good fit for developers looking to deepen their grasp of secure coding practices and production workflows, along with anyone gearing up to work in team-based engineering environments.
Self-paced curriculum
What you'll learn self-paced
- Operate inside team-based development workflows using version control and code review
- Build out continuous integration and deployment pipelines
- Track applications with observability and debugging tools
- Put cybersecurity fundamentals and threat modeling techniques into practice
- Handle authentication, authorization, and sensitive data safely
- Spot and reduce risks that come with AI-powered applications