Semantic ML-enabled Keyword Research Course by Lazarina Stoy.

Description

NOTE: ACCEPTING PREORDERS – COURSE MATERIALS WILL GO LIVE ON 31st OF OCTOBER

Semantic ML-enabled Keyword Research

This course, Semantic Keyword Research: From Theory to Practical Application, offers an in-depth exploration of modern keyword research strategies, moving beyond traditional approaches.

You’ll learn how to leverage query semantics, entities, search intent, and knowledge graphs (to name a few concepts) to create user-centric content strategies. With a focus on user behavior, query paths, and machine learning, this course will guide you through advanced data analysis techniques and practical tools for semantic keyword research.

By the end, you’ll be equipped to conduct comprehensive keyword research, visualize your findings, and integrate them into actionable projects.

Modules & Lessons

1. Introduction & Overview
   1. The problem with traditional keyword research
   2. Who this course is for and what we’ll cover
2. Fundamentals of Semantic Keyword Research
   1. Difference Between Traditional and Semantic Keyword Research
   2. Entities, Entity Attributes, Entity Attribute Variables (EAV Model)
   3. Search Query Sequences and Path
3. Query Understanding and Analysis
   1. Query Augmentation
   2. Query Context and Session Context
   3. User Search Behaviour
   4. Information Gain
4. Advanced Semantic Keyword Analysis Concepts
   1. Search Intent
   2. Knowledge Graphs
   3. SERP Feature Analysis
5. Building a semantic keyword universe – Start to Finish
   1. Getting your data – data sources run-through
   2. Organising your database and keyword categorisation
   3. Practical/Lab – Methods for explicit search intent classification (rule-based, AutoML, and more)
   4. Practical/Lab – How to use the Google Natural Language API for Keyword Entity Analysis
   5. Practical/Lab – How to work with Google’s Autocomplete API to uncover query semantics
   6. Practical/Lab – How to work with dataforSEO to analyse keyword SERP features
   7. What a good semantic keyword universe looks like
   8. How to integrate semantic keyword research into real-world projects
   9. Practical/Lab – How to Automate Content Briefs from your Keyword Universe
6. Key Takeaways and What’s Next
   1. Course Takeaways
   2. What’s next

About the course instructor

Lazarina Stoy is a recognized expert in the intersection of SEO, data science, and machine learning, making her an ideal course author for “Introduction to ML for SEOs.”. With a background in digital marketing and technology, Lazarina has worked with top-tier enterprise-level companies like AWS, Skyscanner, and Extreme Networks, leveraging machine learning to enhance SEO strategies, implement process automation, and drive organic growth. She is known for her ability to simplify complex technical concepts, making them accessible and exciting for both beginners and professionals.

Her expertise spans a range of areas, including technical SEO, content strategy, data visualisation, and ML-enabled automation. Lazarina has led numerous projects implementing machine learning for SEO tasks, before turning her passion for technology into the training platform MLforSEO, where she helps organic search marketers get onboarded into the world of AI. Additionally, she has developed training resources, contributed to major industry publications like Search Engine Land and Moz, and spoken at leading digital marketing conferences worldwide.

In this course, Lazarina will blend her passion for automation and process improvement with practical knowledge, helping SEOs leverage machine learning to enhance their work in a highly efficient, data-driven way​.