Course content:

• Introduction to SEO and Search Engine Algorithms: Fundamentals of SEO, ranking factors, and how search engines work
• AI-Powered Keyword Research: Automated tools and algorithms to identify the best keywords for organic growth
• On-Page Optimization with AI: AI tools for analyzing and optimizing meta-tags, headers, internal links, and content
• Content Creation with AI: Automated tools for generating SEO-optimized texts, blog posts, and product descriptions
• Automated Analysis of Site Structure and User Experience: Using AI to enhance internal linking, UX, and mobile optimization
• Technical SEO and AI-Based Error Detection: AI tools for identifying technical SEO issues (e.g., crawling, indexing, page load times)
• Backlink Analysis and Generation with AI: Automated tools for analyzing and building high-quality backlinks
• AI-Powered Competitor Analysis: Automated analysis of competitors' SEO strategies and content performance
• Voice SEO and Voice Search Optimization with AI: Using AI to optimize websites for voice searches and voice assistants
• User Behavior and AI-Driven Personalization: Using AI to analyze user behavior and personalize content to improve SEO
• Automated Core Web Vitals and Page Performance Analysis: AI tools to optimize loading speed, responsiveness, and interactivity
• Local SEO and AI-Based Optimization: Utilizing AI to enhance local SEO through targeted location and NAP data optimization
• AI-Powered Schema Markup Creation: Automated implementation of structured data to improve search engine results
• SEO Reporting and Analysis with AI: Using AI to analyze SEO metrics, identify trends, and optimize strategies
• Automated Content Updates and Optimization: AI-driven tools for continuously updating and improving content to maintain SEO ranking
• Future Trends in SEO with AI: Predicting and adapting to upcoming search engine trends using AI and machine learning