Course Overview

Discover how to integrate security into modern software and AI development pipelines with our AI DevSecOps course.

This course is designed for technology professionals who want to embed security throughout the Software Development Lifecycle (SDLC) while addressing emerging risks associated with AI-enabled systems and machine learning pipelines.

Learners will explore how DevSecOps practices help organizations automate security testing, secure cloud and container environments, and manage vulnerabilities in continuous integration and continuous deployment (CI/CD) pipelines.

The course also introduces AI governance and responsible AI practices, helping learners understand how to manage risk, ensure transparency, and maintain accountability in AI-enabled systems.

Through lectures, practical labs, and applied case studies, participants will gain the skills needed to implement secure, automated, and responsible development pipelines for both traditional software and AI systems.

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Competencies

Course Breakdown

By the end of this course, you will be able to:

  1. Explain the foundational principles of DevSecOps and AI DevSecOps and the role of security in modern development pipelines.

  2. Apply secure development practices and threat modeling techniques throughout the software development lifecycle.

  3. Identify security challenges in containerized and cloud-native environments and implement appropriate security controls.

  4. Implement automated security testing tools and practices within CI/CD pipelines.

  5. Manage vulnerabilities, identities, and secrets securely in automated development environments.

  6. Integrate AI systems and machine learning workflows into secure DevSecOps pipelines.

  7. Apply AI governance principles to manage risks, ensure transparency, and maintain accountability in AI-enabled systems.

  8. Monitor systems and respond effectively to security incidents in DevSecOps and AI environments.

Understand the foundational principles of DevSecOps and the role of security within the DevOps pipeline. Learn how security can be integrated across development, testing, deployment, and operations.

Learn secure coding practices and understand how to integrate security testing early in the Software Development Lifecycle (SDLC). Explore threat modeling and secure development practices.

Understand security challenges in containerized and cloud environments. Learn how to secure containers, cloud infrastructure, and cloud-native applications.

Learn how to automate security testing throughout the SDLC using tools such as Software Composition Analysis (SCA), Infrastructure as Code (IaC) scanning, and Dynamic Application Security Testing (DAST).

Understand the role of identity and access management in DevSecOps environments. Learn how to securely manage identities, credentials, and secrets within CI/CD pipelines.

Explore how AI systems integrate into DevSecOps pipelines and the security risks associated with AI-enabled systems. Learn about AI governance, risk management, transparency, and accountability for responsible AI deployment.

Learn how to monitor systems, detect vulnerabilities, and respond to security incidents within DevSecOps pipelines. Apply the concepts learned in the course through a final applied project.

Industry Expertise

This course is delivered in collaboration with industry leaders: Brainwork Business Consulting and CyberMe

Badge

Upon successful completion of a TBC Micro-credential, you’ll be awarded an interactive Moodle badge, acknowledging your achievement in completing the course and mastering new skills and competencies. This badge serves as a dynamic representation to your success, empowering you to showcase it across various platforms, including your LinkedIn profile, résumé, emails, and more, thereby elevating your professional standing.

This badge is interactive. Clicking on it grants viewers access to your comprehensive record, ensuring the authenticity of your training and enabling them to identify the skills you’ve acquired and the course content you’ve mastered.

NOTE : This program does not require approval under the Ontario Career Colleges Act, 2005.