Secure, Optimize and Evaluate AI Integrations is an intermediate course for developers, engineers, and architects responsible for building and maintaining the connections that power modern AI applications. In a world of event-driven architecture, a single weak integration can compromise security, degrade performance, and break user trust. This course provides the hands-on knowledge to build integrations that are not just functional, but also resilient, scalable, and secure.

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Secure, Optimize and Evaluate AI Integrations
This course is part of Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization

Instructor: LearningMate
Included with
Recommended experience
What you'll learn
Analyze and implement secure webhooks, optimize system performance under stress, and evaluate integration architectures against security standards.
Skills you'll gain
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January 2026
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There are 3 modules in this course
This module focuses on the first line of defense: the webhook endpoint. Learners will analyze the components of a secure webhook implementation to establish trust and reliability for all event-driven integrations. You will learn to identify and prevent common vulnerabilities using best practices highlighted in the Invicti security guide.
What's included
2 videos1 reading2 assignments
This module addresses the challenge of ensuring that your integrations can handle real-world demand. Learners will analyze system performance under stress to find and fix bottlenecks. You will explore how to interpret performance test results and make data-driven decisions, inspired by the real-time monitoring case study.
What's included
2 videos1 reading1 assignment
This final module zooms out to evaluate the security of the entire integration architecture. Learners will practice conducting a security review, identifying high-risk vulnerabilities, and proposing remediations, using the structured approach outlined by the Cloud Security Alliance for GenAI services.
What's included
2 videos1 reading2 assignments
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