Pre-Training vs Fine-Tuning vs Alignment | Build Datasets & Train LLMs that Drive Real Business Value | Domain-Specific AI | Domain-Specific AI

Build Datasets & Train LLMs that Drive Real Business Value

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Module 1: Introduction

Course Goals & Structure The LinkedIn Model Example Applying These Skills Elsewhere

Module 2: Foundational Concepts of LLMs

Transformer Architecture Pre-Training vs Fine-Tuning vs Alignment Identifying a Domain Why Datasets Differentiate

Module 3: Data Collection Strategies & Multi-Tier Engagement

Scraping & TOS Compliance Understanding Gradients Finding our Engagement Gradient Translating to Other Domains

Module 4: The Psychology of Feature Development

Why Features Matter Brainstorming Minimal Features vs. Advanced features Minimal Features in LinkedIn Data Generalizing to Other Domains

Module 5: Data Labeling & Automated Feature Extraction

Labeling Scripts for Basic Features Structure Classification Tonality Classification Topic and Opinion Extraction Micro-Importance Validation

Module 6: Testing Feature Importance

Scenario-Based Prompt Tests Permutation Importance & Correlation Embedding & Clustering Analysis Carrying Over to Your domain

Module 7: Advanced Feature Engineering & Analysis

Advanced Feature Engineering Narrative Flow Classification Pacing Classification Sentiment Arc Classification Topic Transition Classification Balancing & Augmentation Advanced Features in Your Domain

Module 8: Prompt Generation & Final Dataset Construction

Designing Model Prompts Merge Features into Dataset

Module 9: SFT Fine-Tuning

Selecting a Base Model LoRA / QLoRA An Introduction to SFT Supervised Fine-Tuning our Model When to Tweak Hyperparameters When to go Large with Large Language Models

Module 10: GRPO-Based Refinement (Advanced RL Techniques)

Why SFT Isn't Enough RL Approaches (PPO, DPO, etc.)GRPO Concepts & Rationale Refining the SFT Model with GRPO Validation & Avoiding Overfitting

Module 11: Deployment & Inference

Model Serving Small Front-End for Testing Edge Cases & Monitoring

Module 12: Maintenance & Continuous Improvement

Continuous Improvement Versioning & Pivoting General Tips for Other Domains

Module 13: Project Showcase & Wrap-Up

Final Demo Transitioning to Any Domain Thank you!

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The Essentials

$199$149

- The 40+ video online course
- Small dataset to follow along

The Professional

$249$199

- The 40+ video online course
- Small dataset to follow along
- All feature engineering scripts
- Extra videos on advanced fine-tuning approaches like GRPO

The Complete Package

$399$349

- The 40+ video online course
- Small dataset to follow along
- All feature engineering scripts
- Extra videos on advanced fine-tuning approaches like GRPO
- Complete raw and final datasets to completely reproduce model

Pricing plan comparison
Features
	The Essentials	The Professional	The Complete Package
Price	$199$149	$249$199	$399$349
The 40+ video online course	Included in The Essentials	Included in The Professional	Included in The Complete Package
Small dataset to follow along	Included in The Essentials	Included in The Professional	Included in The Complete Package
All feature engineering scripts	Not included in The Essentials	Included in The Professional	Included in The Complete Package
Extra videos on advanced fine-tuning approaches like GRPO	Not included in The Essentials	Included in The Professional	Included in The Complete Package
Complete raw and final datasets to completely reproduce model	Not included in The Essentials	Not included in The Professional	Included in The Complete Package