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Building Reliable AI Workflows Beyond Chatbots

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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AIWorkflowsMulti-AgentReliabilityProductionBackend Engineering 1 hr 6 Chapters Certificate
Building Reliable AI Workflows Beyond Chatbots

Loved by learners at thousands of companies

Razorpay
Salesforce
Amazon
Protocloud
SentinelOne

Course Description

Most AI applications break in production not because the model fails, but because the workflow around it is brittle. In this workshop, Jide Abdul Qudus breaks down the three most common AI workflow failure modes — inconsistent outputs, silent failures, and uncontrolled costs — and shows you how to engineer around each one using patterns you can apply immediately. The session closes with a live multi-agent email class

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What you'll learn

  • 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

Course Content

01

Course Introduction

Introduction to the workshop, speaker background, and overview of what will be covered — building reliable AI workflows that go beyond simple chatbot interactions.

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02

The Evolution of AI

How AI has evolved from single-model interactions to complex multi-step workflows, and why reliability engineering matters more than ever at this stage.

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03

AI Workflows vs Traditional Software

The fundamental differences between deterministic software and probabilistic AI workflows \u2014 and why you cannot apply traditional reliability patterns without adapting them.

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04

Failure Modes

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.

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05

Live Demo

Live build of a multi-agent email classification pipeline demonstrating the Validation Sandwich, observable pipelines, and cost gates applied in a real system.

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06

Q&A Session

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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Certificate of Completion

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Building Reliable AI Workflows Beyond Chatbots

Date

Apr 2026

Instructor

MB Team

Certificate ID

MB-875VG4

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MB Team

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Instructor

MasteringBackend
Mastering BackendIntermediate course

Course Resources

6
Chapters
10
Videos
2
Quizzes

Additional resources and downloads available inside the course.

Course Details

Level
Intermediate
Duration
1 hrs

Real Students.
Real Success Stories.

Lyle Christine
Lyle ChristineA Happy Student from Scotland

"I truly appreciate the high-quality material in this course. The structured lessons, hands-on projects, and clear explanations make learning a great experience. I look forward to future additions and updates! Thanks for your polite and friendly attitude."

Daniel Tinivella
Daniel TinivellaSoftware Engineer, Globant

"The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process."

Eshan Shafeeq
Eshan ShafeeqBlockchain & Web3 Engineer, Cake Defi

"The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts."

FAQs

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.