Target audiences
- Technical SEO specialists who want to strengthen their technical knowledge
- SEO specialists and digital marketers working with technical website issues
- SEO managers and webmasters responsible for website performance
- Professionals interested in AI, automation and SEO workflows
- Anyone who wants to better understand how websites work from an SEO perspective
Technical SEO starts with understanding how a website actually works.
This course takes you from the fundamentals of the web – from requests, servers, browsers and HTML to more advanced topics such as JavaScript rendering, crawl budget, Core Web Vitals, AI and automation.
Across the lessons, you’ll learn how to identify technical issues, analyse how Google renders pages, monitor crawler activity and evaluate website performance using tools such as Google Search Console, Lighthouse, Chrome DevTools and Cloudflare.
The course also introduces LLMs, APIs and automation tools such as n8n, Make, Python and Streamlit, showing you how to integrate them into practical SEO workflows and build simple internal tools.
Each module combines technical concepts, practical tools and real use cases to help you better understand what happens behind the scenes of a website and apply that knowledge directly to your SEO work
Curriculum
- 2 Sections
- 29 Lessons
- Lifetime
- Lessons29 Items
- 1.11. How the Web Works: From Request to Response
- 1.22.Traffic, Security, and Caching with Cloudflare
- 1.33. How Browsers Load Resources and API Data
- 1.44. HTML Fundamentals for Technical SEO
- 1.55. Rendering Basics: HTML, CSS, and JavaScript
- 1.66. Checking JavaScript Rendering Issues
- 1.77. Server-Side Rendering, Client-Side Rendering, and Hydration
- 1.88. Testing Rendering with Google Search Console
- 1.99. Dynamic Rendering and Prerendering for SEO
- 1.1010. Understanding Crawl Requests in Google Search Console
- 1.1111. Analyzing Crawler and AI Bot Traffic in Cloudflare
- 1.1212. Why Web Performance Matters
- 1.1313. Internet Speed and Real-World Page Performance
- 1.1414. Progressive Enhancement vs. Graceful Degradation
- 1.1515. Using Lighthouse to Measure Performance and Core Web Vitals
- 1.1616. Performance Debugging with Chrome DevTools
- 1.1717. Finding Unused CSS, JavaScript, and Loading Issues
- 1.1818. Core Web Vitals: LCP, CLS, and INP
- 1.1919. Optimizing Image Loading with Lazy Loading
- 1.2020. Optimizing HTML Size for SEO and Performance
- 1.2121. Working with Developers on Web Performance Fixes
- 1.2222. AI and Automation in Modern SEO
- 1.2323. AI, Automation, LLMs, and APIs Explained
- 1.2424. Choosing and Using LLM APIs
- 1.2525. Cloud vs. Local LLM Models
- 1.2626. SEO Automation Tools: n8n, Make, Python, and Streamlit
- 1.2727. Real SEO Automation Use Cases
- 1.2828. Automating Blog Title Generation with n8n and AI
- 1.2929. Vibe Coding and Building Internal SEO Tools
- Quiz1 Item
Lessons: