• Home
  • Pydantic for Structured Data Validation in LLM Workflows

Pydantic for Structured Data Validation in LLM Workflows

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Pydantic for Structured Data Validation in LLM Workflows

Course Code: C662

7 Review(s) | Add Your Review

What's This Course About

Master the art of building reliable, production-ready LLM applications with Pydantic for structured data validation. This hands-on course teaches you how to move beyond free-form AI text outputs and implement robust validation schemas that ensure every response from large language models is accurate, complete, and ready for downstream processing. Learn to design structured output schemas, parse and validate JSON responses from LLMs, and handle validation errors gracefully — skills essential for anyone building AI-powered systems that need to perform consistently at scale.

Dive deep into advanced validation patterns including nested models, enums, unions, and custom validators that give you fine-grained control over LLM outputs. Explore real-world applications such as building a customer support assistant that extracts ticket details, validates customer data, and routes requests using structured output. You will also learn to integrate Pydantic with modern LLM APIs, agent frameworks, function calling, tool calling, and backend services like FastAPI — equipping you with the expertise to design multi-step LLM pipelines where every stage is structured, validated, and production-ready.

WSQ Funding

Full Fee ₵1,500.00 Before GST
GST ₵135.00 9% of fee
Baseline Nett ₵885.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵585.00 SG age 40+ · 70% funded

Course Fee

₵1,500.00

Course Date

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Foundations of Structured Output & Pydantic Basics

Why free-form LLM text is not enough for production systems

What structured output is and why it matters in LLM workflows

Common failure modes in unstructured LLM responses

Introduction to Pydantic

Parsing and validating JSON responses from LLMs

Handling validation errors gracefully

Topic 2: Using Pydantic with LLM APIs & Agent Frameworks

Designing structured schemas for LLM outputs

Prompting LLMs for structured responses

Using Pydantic models directly in API calls

Structured outputs with modern LLM providers

Function calling and tool calling with Pydantic models

Ensuring completeness and correctness before triggering downstream systems

Example: Customer Support Assistant

Extracting ticket details

Validating customer data

Routing requests based on structured output

Topic 3: Advanced Validation Patterns & Production Workflows

Nested models and complex schemas

Enums, unions, and custom validators

Combining structured outputs and tool-calling in agent workflows

Using Pydantic in multi-step LLM pipelines

Defensive programming: validating at every stage

Integrating Pydantic into FastAPI or backend services

How popular frameworks use Pydantic under the hood

Designing robust LLM systems where every step is structured and validated

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • AI Engineer
  • Machine Learning Engineer
  • LLM Application Developer
  • Python Developer
  • Backend Engineer
  • Data Engineer
  • NLP Engineer
  • AI Solutions Architect
  • DevOps Engineer (AI/ML)
  • Full Stack Developer
  • Data Scientist
  • AI Product Manager
  • Conversational AI Developer
  • Automation Engineer
  • Software Engineer
  • API Developer
  • AI Research Engineer
  • MLOps Engineer
  • Technical Lead (AI Systems)
  • AI Integration Specialist

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (7)

Highly recommended Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 8/7/2024)
Superb training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 7/26/2024)

Items 6 to 7 of 7 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: Pydantic for Structured Data Validation in LLM Workflows

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment