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Semantic ML-enabled Keyword Research Course by Lazarina Stoy.
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 entities, search intent, and knowledge graphs to optimize SEO and 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.
Description
Semantic ML-enabled Keyword Research
This course, Semantic ML-Enabled Keyword Research: From Theory to Practical Application, offers an in-depth exploration of modern strategies on semantic query analysis, 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 improving your skill set on not only understanding the conceptual framework of semantic query analysis but also knowing when, why, and how to implement AI (ML-enabled automation), this course will guide you through advanced data analysis techniques and practical tools for semantic keyword research.
In this 8+ hour course, you will also be provided with numerous practical programming scripts, made as friendly to beginners as possible, in-depth step-by-step explanations and walk-throughs, countless exercises, checklists, and other relevant tools and templates – everything you need to understand not only the theory behind the concepts but also how to practically get started.
By the end, you’ll be equipped to conduct comprehensive semantic query analysis, visualize your findings, and integrate them into actionable projects.
If you want to learn more about the course, go here: Semantic ML-enabled Keyword Research Course.
Modules & Lessons
- Introduction & Overview
- The problem with traditional keyword research
- Who this course is for and what we’ll cover
- Fundamentals of Semantic Keyword Research
- Entities, Entity Attributes, Entity Attribute Variables (EAV Model)
- Practical/Lab – How to use the Google Natural Language API for Query Entity Extraction and Analysis
- Search Query Sequences and Query Path
- Practical/Lab – How to work with Google’s Autocomplete API to uncover Google-suggested query paths
- Query Understanding and Analysis
- Query Augmentation
- Query Context and Session Context
- Implicit User Feedback and User Search Behaviour
- Understanding the SERP – Theory and practice
- SERP Feature Analysis
- Practical/Lab – How to work with dataforSEO and other SaaS for SERP collection (programmatic and no-code approaches)
- Practical/Lab – How to identify desired content formats and platforms served from SERP data
- Search Intent – Theory and Practice
- Search Intent
- Practical/Lab – Methods for explicit search intent classification (rule-based, and AI/ML-enabled)
- Advanced Semantic Keyword Analysis Concepts
- Knowledge Graphs & working with Google’s Knowledge Graph API
- Information Gain
- How Google Uses Entities and the Knowledge graph (Patents Analysis Resource)
- Building a semantic keyword universe – Start to Finish
- Getting your data – data sources run-through
- Organising your database and keyword categorisation
- How to move from traditional to semantic keyword universe – Checklist, based on course tasks
- What a good semantic keyword universe looks like – guidance on delivery and presentation
- Integrating Semantic Keyword Research Into Projects
- How to integrate semantic keyword research into real-world projects
- Practical/Lab – How to Automate Content Briefs from your Semantic Keyword Universe
- Key Takeaways and What’s Next
- Course Takeaways
- What’s next
About the course instructor
Lazarina Stoy is a recognized expert in the intersection of SEO, data science, and machine learning. 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.
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