Elasticsearch and NLP
Training Program: Elasticsearch and NLP
Duration
1/2 day
price
200 USD / person
Location
Via Video Conference
Satisfaction rate: ★★★★½ 4.5/5 since 2023
Objectives
This half-day intensive training provides an introduction to modern Natural Language Processing (NLP) techniques and their integration with Elasticsearch.
✔ Fundamentals of NLP & its evolution
✔ Deep learning & transformer models for search
✔ Using vector search & hybrid search in Elasticsearch
✔ Integrating Elasticsearch with GPT & advanced ranking techniques
By the end of this training, you will understand how NLP enhances search experiences and how to apply it within Elasticsearch.
Audience
This training is ideal for:
✔ Developers & Architects exploring NLP-powered search
✔ Tech Leads, Team Leads & Scrum Masters integrating AI in search solutions
✔ Product Managers & Owners leveraging NLP for enhanced search relevance
All our training sessions are accessible to people with disabilities.
Curriculum
Introduction to NLP & AI in Search
- Introduction to NLP
- Common NLP tasks & use cases
- The evolution of NLP & deep learning
- Transformers & embeddings in AI-driven search
- Understanding LLMs (GPT, LLaMA, etc.)
- Model Training & NLP in Elasticsearch
- Introduction to ELAND for NLP model deployment
- Using Elasticsearch for key NLP tasks
- Vector search vs. hybrid search in NLP applications
- Expanding queries with ELSER (Elastic Learned Sparse Encoder)
- Advanced AI & Search Ranking
- Integrating Elasticsearch with GPT for intelligent query understanding
- Implementing Learning to Rank (LTR) for search personalization
Gain hands-on experience in applying AI & NLP to Elasticsearch-powered search solutions!
Upcoming Sessions
✔ Monday 17th February 2025 (AM)
✔ Monday 24th March 2025 (AM)
✔ Monday 12th May 2025 (AM)
✔ Monday 21st July 2025 (AM)
✔ Monday 22nd September 2025 (AM)
✔ Monday 10th November 2025 (AM)
- On-Demand Sessions Available – Custom scheduling upon request.
- Registration closes 48 hours before each session starts.
Prerequisites
- No prior knowledge required!
Teaching Method
- 40% Presentation & Demonstrations
- 40% Hands-on Labs
- 20% Q&A & Discussions
