Learn how to build production-grade AI workflows that don't break. Covers the 3 critical failure modes and the engineering patterns to prevent them.
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Master Building Reliable AI Workflows Beyond Chatbots from fundamentals to advanced concepts
Build real-world projects applying what you've learned
Understand best practices and industry standards
Gain confidence to work on production-level applications
Prepare for technical interviews and career advancement
Introduction to the workshop, speaker background, and overview of what will be covered — building reliable AI workflows that go beyond simple chatbot interactions.
How AI has evolved from single-model interactions to complex multi-step workflows, and why reliability engineering matters more than ever at this stage.
The fundamental differences between deterministic software and probabilistic AI workflows \u2014 and why you cannot apply traditional reliability patterns without adapting them.
Deep dive into the most common AI workflow failure \u2014 non-deterministic output. Learn the Validation Sandwich pattern: pre-validation, model execution, and post-validation to enforce output contracts.
Live build of a multi-agent email classification pipeline demonstrating the Validation Sandwich, observable pipelines, and cost gates applied in a real system.
Open Q&A with the speaker covering implementation questions, trade-offs, tooling choices, and real-world application of the patterns discussed in the workshop.
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Additional resources and downloads available inside the course.
Some programming experience is recommended. Check the course description for specific prerequisites.
This course has 1 hours of content. Complete it at your own pace.
Yes! Upon completion you'll receive a certificate you can share on LinkedIn and your resume.
Yes, all code examples and resources are available for offline access.
Yes — career guidance, resume reviews, and mock interviews are available through the platform.