SEO Course in Arabic with Nadeem Haddadeen
Understand, diagnose and automate technical SEO✨
Learn how websites work behind the scenes, diagnose rendering and performance issues, analyse crawling activity and build practical SEO workflows with AI and automation tools.
Finish the course
& get Your certificate
Technical SEO from the web fundamentals to AI automation
Modern technical SEO starts with understanding how websites actually work. This course
takes you from requests, servers and HTML through JavaScript rendering, crawl analysis
and Core Web Vitals, before moving into AI, APIs and SEO automation.
Web Fundamentals & Performance
Understand how browsers and search engines process your pages, then use HTML, Lighthouse and Chrome DevTools to identify performance issues and evaluate Core Web Vitals.
Rendering & Crawl Budget
Learn how JavaScript rendering works, compare SSR and CSR, test rendering in Google Search Console and analyse crawler and AI bot activity with Cloudflare.
AI & Automation Workflows
Explore LLMs, APIs and automation tools including OpenRouter, Hugging Face, n8n, Make, Python and Streamlit, and see how they can support practical SEO workflows.
Who is this course for?
This course is perfect for
-
Technical SEO Specialists
SEO professionals who want a stronger understanding of rendering, crawling, HTML, Core Web Vitals and the technical processes behind modern websites. -
SEO specialists and digital marketers
Professionals who want to diagnose website issues more confidently and use tools such as Google Search Console, Lighthouse, Chrome DevTools and Cloudflare in their SEO work. -
SEO managers and webmasters
People responsible for website health and performance who want to understand crawl activity, page loading, JavaScript behaviour and how to communicate technical findings to developers. -
SEO automation enthusiasts
SEO professionals who want to introduce LLM APIs, n8n, Make, Python and Streamlit into their workflows and experiment with building internal SEO tools.
What Will You Achieve
By the end of this course, You will be able to:
Analyse web performance and
Core Web Vitals
Use Lighthouse and Chrome DevTools to investigate loading behaviour, network requests, unused CSS and JavaScript, image loading and Core Web Vitals.
Diagnose JavaScript rendering issues
Understand SSR, CSR, hydration, dynamic rendering and prerendering, and use Google Search Console to check how Google renders your pages.
Analyse crawl activity and AI bots
Use Google Search Console and Cloudflare to investigate crawl requests, response times, crawler behaviour and traffic from AI bots.
Understand how the web works
Follow a request from browser to server and understand DNS, IP addresses, caching, APIs, HTML, CSS, JavaScript and browser resource loading.
Use LLM APIs and SEO automation
Understand the difference between AI and automation, work with LLM APIs and compare cloud and local models based on quality, cost, privacy and setup requirements.
Build practical internal SEO tools
Explore n8n, Make, Python and Streamlit and learn how AI coding tools can support the creation of simple SEO tools and automated workflows.
Course Structure: A Six-Part Journey
29 lessons across six parts, taking you from web fundamentals and
technical SEO to performance analysis and AI-powered automation.
technical SEO to performance analysis and AI-powered automation.
Lessons 1-3
Part 1: The Foundation
Strategy, Content, and Tech
- Understand how requests travel between browsers and servers
- Learn the basics of DNS, IP addresses, requests and responses
- See how browsers load HTML, CSS, JavaScript, images and other resources
- Understand caching, Cloudflare, load balancing and website security
- Learn how APIs and JSON support dynamic website content
Lesson 4
Part 2: HTML Introduction
HTML for SEO
- Understand why HTML matters for technical SEO
- Learn how search engines read and interpret page structure
- Get familiar with the key HTML elements used on web pages
- Identify the HTML tags SEO specialists should pay attention to
Lessons 5-9
Part 3: Rendering
Rendering, JavaScript, Indexing
- Learn rendering basics: HTML, CSS, and JavaScript interactions
- Check and spot JavaScript rendering issues affecting SEO
- Compare Server-Side Rendering (SSR), Client-Side Rendering (CSR), and Hydration
- Test rendering capabilities using Google Search Console
- Implement Dynamic Rendering and Prerendering for search bots
Lessons 10-11
Part 4: Crawling Budget
Crawling, Requests, Bots
- Analyse crawl requests in Google Search Console
- Understand the difference between discovery and refresh crawling
- Identify crawl issues and monitor website response times
- Analyse crawler activity and request volumes in Cloudflare
- Identify and investigate traffic from AI bots
Lessons 12-5
Part 5: Web Performance
Speed, CWV, Debugging
- Understand how devices, connection speeds and markets affect page performance
- Measure performance and Core Web Vitals with Lighthouse
- Diagnose loading issues using Chrome DevTools and CrUX data
- Understand LCP, CLS and INP and the common causes of poor results
- Improve areas such as image loading, unused resources and HTML size
Lessons 1-5
Part 6: AI & Automation
AI, APIs, Automation
- Understand how AI, automation, LLMs and APIs fit into modern SEO workflows
- Choose between different LLMs, APIs, cloud models and local models
- Explore SEO automation with n8n, Make, Python and Streamlit
- Connect to sources such as the Google Search Console API and process data at scale
- Build practical workflows and internal SEO tools with AI
From theory to real SEO workflows
Throughout the course, Nadeem connects technical concepts with practical tools and use cases. You'll see how to test rendering in Google Search Console, investigate performance with Lighthouse and Chrome DevTools, analyse crawler traffic in Cloudflare and build SEO automation workflows with tools such as n8n, Python and Streamlit.
Course instructor
Nadeem Haddadeen
WhitePress® Ambassador:
Founder of the Arabic SEO Academy and an Arabic SEO consultant with more than 16 years of experience in SEO, web technologies, and digital growth. Worked with leading brands across the Middle East on SEO, technical SEO, content strategy, web performance, e-commerce, marketplaces, publishing platforms, and multilingual websites. Also experienced in building AI and automation tools for SEO, content, data analysis, and large-scale optimization.
