What will you learn in Optimizing a Website for Google Search Course
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Understand how modern web search engines retrieve and rank information.
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Learn ranking algorithms and relevance optimization techniques.
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Apply machine learning methods to improve search results.
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Understand indexing, crawling, and query processing fundamentals.
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Analyze evaluation metrics such as precision, recall, and NDCG.
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Optimize search systems for performance and scalability.
Program Overview
Foundations of Web Search
⏳ 2–3 weeks
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Learn how search engines crawl and index web pages.
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Understand inverted indexes and query processing.
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Explore ranking basics and relevance scoring.
Ranking and Information Retrieval Models
⏳ 3–4 weeks
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Study TF-IDF and vector space models.
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Learn learning-to-rank techniques.
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Understand personalization and contextual ranking strategies.
Evaluation and Optimization
⏳ 3–4 weeks
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Use evaluation metrics like precision, recall, MAP, and NDCG.
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Analyze search performance trade-offs.
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Optimize ranking pipelines for better relevance.
Machine Learning for Search
⏳ 2–3 weeks
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Apply ML algorithms to ranking problems.
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Understand feature engineering for search systems.
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Explore real-world case studies in search optimization.
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Job Outlook
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Highly relevant for roles in Search Engineering, Data Science, and Machine Learning.
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Valuable for backend developers working on recommendation and retrieval systems.
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Strong foundation for careers in big tech companies specializing in search and AI.
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Supports advanced study in information retrieval and AI systems.
