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Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
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Learn how to implement strategic guardrails and platform engineering practices that enable teams to safely accelerate software development with AI integration. Discover why high-performing organizations are leveraging internal developer platforms to create secure, compliant pathways that make the safest development routes also the simplest ones. Explore real-world examples from organizations that have successfully established engineering best practices, allowing them to rapidly adopt and deploy AI tools while maintaining quality and security standards. Understand the critical role of DevOps automation, progressive delivery, and continuous testing in mitigating the risks that come with AI-generated code reaching production. Master techniques for reducing blast radius of changes and learn specific strategies for injecting AI assistance across the entire software development lifecycle without compromising safety or compliance.
Syllabus
How guardrails enable you to work at AI speed
Taught by
LeadDev