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

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments¹

AI Graded see disclaimer

Taught in English

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This course is part of the Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 3 modules in this course

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.

Drawing on real-world case studies and best practices from the Cloud Security Alliance and industry leaders, you will learn to implement and analyze secure webhook endpoints to protect against common threats. You will master the process of performance stress testing to identify and resolve throughput bottlenecks before they impact users. Finally, you will learn to conduct a thorough security architecture review to evaluate and remediate high-risk vulnerabilities. This course will equip you with the essential skills to ensure your AI integrations are robust, efficient, and trustworthy from end to end.

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.