EulerFold
Data Scientists & AI Application Developers

Prompt Engineering for Structured Retrieval

4 weeks
0 Learners
Jul 23

Designing prompts that extract structured data from unstructured documents reliably and repeatedly. This comprehensive curriculum is designed to give you hands-on experience with Prompt Engineering for Structured Retrieval.

Share:

About this Course

Designing prompts that extract structured data from unstructured documents reliably and repeatedly. This comprehensive curriculum is designed to give you hands-on experience with Prompt Engineering for Structured Retrieval. This Data Scientists & AI Application Developers curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 4 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Master the core concepts of structured output patterns & json schema generation.
Gain hands-on experience with retrieval-augmented generation (rag) prompt tuning.
Understand the architecture behind multi-step reasoning & chain-of-thought.
Implement production-grade evaluation, benchmarking & prompt regression.

Prerequisites

intermediate Level

Requires basic familiarity with the tech stack.

  • Familiarity with core concepts

Ideal for

Data Scientists & AI Application Developers

Data Scientists & AI Application Developers Professionals
Tech Enthusiasts
W1

Structured Output Patterns & JSON Schema Generation

Master the core concepts of structured output patterns & json schema generation.

3 videos68m
3 readings
3 topics
1 homework
Learn

Topics

1.1
Enforcing JSON & Pydantic Schemas in LLM Outputs
20 minutes
1.2
System Prompts for Zero-Shot & Few-Shot Extraction
11 minutes
1.3
Handling Hallucinated Fields & Schema Validation Errors
37 minutes
W2

Retrieval-Augmented Generation (RAG) Prompt Tuning

Gain hands-on experience with retrieval-augmented generation (rag) prompt tuning.

3 videos45m
2 readings
3 topics
1 homework
Learn
W3

Multi-Step Reasoning & Chain-of-Thought

Understand the architecture behind multi-step reasoning & chain-of-thought.

3 videos87m
3 readings
3 topics
1 homework
Learn
W4

Evaluation, Benchmarking & Prompt Regression

Implement production-grade evaluation, benchmarking & prompt regression.

3 videos75m
3 readings
3 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

Rate this course

0.0
0 reviews

Help the community find verified technical paths.

Community Insights

0

Join the discussion

Sign in to share your thoughts and technical insights.

Loading insights...