
Advanced Search Engine Optimization (SEO): Technical, Data-Driven, and Emerging Strategies
This advanced course dives deep into technical SEO, predictive analytics, and cutting-edge strategies to optimize for competitive industries and emerging technologies. Participants will master AI-driven tools, advanced analytics, and innovative SEO techniques tailored for voice, visual, and Web 3.0 search. The course also emphasizes optimization for local and international markets, scalable link-building, and sustainable, future-proof practices.
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Course Duration:
36 hours
Level:
Advanced
Course Objectives
Implement advanced technical SEO strategies, including Core Web Vitals optimization and structured data.
Utilise predictive analytics, data-driven insights, and A/B testing for performance optimization.
Optimise for voice search, image SEO, and AI-driven search tools.
Develop SEO strategies for competitive industries and niche markets.
Manage large-scale e-commerce SEO, multi-location SEO, and international SEO challenges.
Stay ahead with Web 3.0 innovations, blockchain integration, and AI-driven trends.
Build authority through advanced link-building and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).

Prerequisites
Strong foundational knowledge of SEO, including on-page and off-page techniques.
Proficiency with SEO tools like Ahrefs, SEMrush, Google Analytics, and Screaming Frog.
Experience with technical SEO concepts (site architecture, crawlability, and indexing).
Familiarity with e-commerce platforms and multilingual SEO is recommended.
