Search for Product Managers
Training Program: Search for Product Managers
Duration
1 day
price
500 USD / person
Location
Via Video Conference
Satisfaction rate: ★★★★★ 5/5 since 2023
Objectives
✔ Understand how search engines work
✔ Evaluate search tools such as Elasticsearch, OpenSearch, Solr, and vector databases
✔ Identify key performance indicators (KPIs) and optimize search engine performance
✔ Design a search project and create user stories
Audience
This training is designed for business users who want to implement or enhance a search engine within their solutions, including:
✔ E-commerce platforms
✔ Document management systems
✔ Archiving solutions
✔ Custom search applications
All our training sessions are accessible to people with disabilities.
Curriculum
What is a Search Engine?
- Understanding search engine services & components
- Key elements of a search engine:
- Indexing
- Search
- Business console
- APIs and their role in search
- Integrating search within the IT system
Search Technologies
- Lucene-based technologies (Elasticsearch, OpenSearch, Solr)
- Index structure
- Mapping techniques
- Tokenization & text analysis
- Vector databases and their role in modern search
- Query components, scoring & rescoring
Search Optimization Techniques
- Indexing & enrichment strategies
- Configuring search relevance & ranking
- Boosting techniques for search results
- Facets, filters, synonyms & dictionaries
- Sorting strategies for improved UX
- Autocomplete & suggestions for better search experience
Evaluating Your Search Engine
- Relevance calculation methods
- NDCG (Normalized Discounted Cumulative Gain)
- Judgment lists for relevance scoring
- Key Performance Indicators (KPIs):
- Click-Through Rate (CTR)
- Conversion Rate (CR)
- Monitoring & performance tracking
- A/B testing for search improvement
Merchandising & Business Optimization
- Handling zero-result searches
- Using business data for personalized search results
- Optimizing search for seasonality & promotions
- Highlighting specific products & results
- Search Engine Optimization (SEO) strategies
Machine Learning & AI in Search
- Embeddings & vector-based search
- Hybrid search (text + vector models)
- Machine learning applications:
- Classification of search queries
- Entity extraction for better understanding
- Proximity calculations for ranking results
- LLMs (Large Language Models) & chatbot integration
Upcoming Sessions
✔ Thursday, 6th March 2025
✔ Thursday, 10th April 2025
✔ Thursday, 15th May 2025
✔ Thursday, 26th June 2025
✔ Thursday, 24th July 2025
✔ Monday, 1st September 2025
✔ Thursday, 9th October 2025
- On-Demand Sessions Available (Allow 14 days for scheduling).
- Registration closes 48 hours before each session starts.
Prerequisites
✔ Required Skills: Internet connection
Teaching Method
- 40% Presentation & Demonstration
- 40% Practical Exercises
- 20% Q&A
Evaluation Method
- 8-12 practical exercises
- progress assessed based on completion and success rates.
