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Guardrails AI

Use Guardrails AI to define, enforce, and validate safe and structured outputs from large language models in real-time.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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As large language models become integral to production systems, developers must ensure outputs are safe, reliable, and aligned with business or compliance rules. Guardrails AI is an open-source Python library that lets you define validation, structure, and safety rules for LLM outputs—and enforce them automatically.
What is Guardrails AI?
Guardrails AI allows you to wrap your LLM responses with policy-based controls. It can detect unsafe content, validate format constraints (like JSON/XML), and apply logic to ensure LLMs behave predictably. It integrates seamlessly with OpenAI, LangChain, and other LLM frameworks.
How to Use This Course:
This course guides you through integrating Guardrails AI into your Python or LangChain-based applications. You'll define output schemas, enforce guardrails, and create validators for use cases such as structured data generation, PII redaction, and hallucination filtering.
Whether you're building enterprise AI tools or public-facing chatbots, this course empowers you to make your LLM apps production-grade—with real-time enforcement and peace of mind.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top
  • Understand the concept of output validation and safety in LLMs

  • Install and configure Guardrails AI in Python projects

  • Create and apply XML-based output schemas (RAIL)

  • Validate structured outputs such as JSON, lists, and strings

  • Enforce constraints like length, regex, and data types

  • Detect and block harmful or unsafe content

  • Integrate Guardrails AI with LangChain workflows

  • Build reusable validation components and logic

  • Apply policies for compliance and trustworthiness

  • Deploy LLM apps with runtime safety and auditability

Course Syllabus Back to Top
  1. Introduction to LLM Output Validation and Guardrails

  2. Installing Guardrails AI and Understanding RAIL Schemas

  3. Defining Structured Outputs (JSON, XML, String Constraints)

  4. Using Validators: Length, Regex, Data Type, Custom Checks

  5. Enforcing Guardrails on OpenAI and Anthropic APIs

  6. Integrating Guardrails into LangChain Chains and Agents

  7. Real-Time Error Handling and Fail-Safe Output Strategies

  8. Using Guardrails for PII Redaction and Ethical Filtering

  9. Auditing, Logging, and Observability with Guardrails

  10. Case Study: Validating Structured Responses in a Chatbot

  11. Building Trustworthy AI Systems in Production

  12. Advanced Usage: Dynamic Schemas and Nested Constraints

Certification Back to Top

Upon successful completion of this course, you’ll receive a Uplatz Certificate of Completion verifying your skills in implementing safety, structure, and validation for LLM responses using Guardrails AI. This certification demonstrates your ability to build policy-driven, trustworthy LLM applications. It is especially valuable for developers, AI safety engineers, and compliance teams working in regulated or public-facing environments.

Career & Jobs Back to Top

As governments and organizations demand more transparency and control over AI, developers who can enforce safety and compliance are in high demand. Guardrails AI knowledge prepares you for impactful roles focused on reliability, ethics, and control in LLM-powered systems.

Career roles include:

  • AI Safety Engineer

  • Trust & Safety Analyst

  • Responsible AI Developer

  • Prompt Validation Engineer

  • Compliance & Policy Automation Specialist

  • LLM Governance Consultant

These roles are crucial in sectors such as finance, healthcare, legal tech, customer service, and education—where regulated outputs, secure data handling, and accurate structured generation are critical. Guardrails AI helps ensure that your LLMs are not just smart, but safe.

Interview Questions Back to Top
  1. What is Guardrails AI used for?
    It validates and structures outputs from LLMs using rules defined by developers to ensure safety and consistency.

  2. What does RAIL stand for in Guardrails AI?
    RAIL stands for Reusable AI Language schemas—an XML-based format for defining validation rules.

  3. Can Guardrails AI block unsafe content?
    Yes, it can filter and block outputs that include harmful, biased, or non-compliant content.

  4. How do you define constraints in Guardrails AI?
    Constraints are defined in XML schemas and include rules like regex, min/max length, or allowed values.

  5. Is Guardrails AI open-source?
    Yes, it is freely available and extensible via Python code and custom validators.

  6. What’s the difference between Guardrails and TruLens?
    Guardrails enforces real-time output rules; TruLens evaluates and scores LLM outputs after generation.

  7. How does Guardrails AI integrate with LangChain?
    It can be used as a wrapper or node in chains to validate or retry failed LLM outputs automatically.

  8. What kind of outputs can Guardrails validate?
    JSON, lists, strings, structured formats, and even free text with content policies.

  9. Can Guardrails AI help with data privacy compliance?
    Yes, it supports redacting or filtering PII and enforcing GDPR-like content controls.

  10. Why is output validation important in LLM applications?
    It prevents hallucinations, enforces structure, and ensures reliable and repeatable model behavior.

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

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A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

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A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
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c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.



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