AI & ML Search with OpenSearch (elasticsearch + AI/ML)

AI & ML Search with OpenSearch (elasticsearch + AI/ML)
Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Find the meaning in your data with OpenSearch & AI

What you’ll learn
Understand and implement traditional search, neural search, hybrid search using Amazon’s OpenSearch, apache-licensed open-source platform
Implement semantic search, retrieval augmented generation (RAG) using locally hosted models or external LLM providers like OpenAI
Implement real-time projects entirely on a local machine or a cloud VM using VS code, shell scripts, python and yaml templates
Implement reporting, alerting , dashboards, observability log patterns while understanding integration points with cloud
Complete multiple case studies, including migration of production data from elasticsearch to opensearch
Understand and implement agentic workflows involving RAG architectures on local and external LLMs

Requirements
Basics of running docker container, python programming basics, and eagerness to understand and unpack how search works
Local laptop with at least 4GB RAM (8GB preferable) and 2 CPU cores (4 preferable). Be ready to spend about $5 or lesser using a public LLM service e.g. Open AI

Description
Who this course is for
Undergrad with no-real-world project experience
Real-world experienced professionals from non-search domains
Software Developer
Devops Engineer / SysOps admin / Site Reliability Engineer
Data Scientist / Analyst / Engineer
Test Engineer planning to switch careers laterally
Polyglot engineers eager to save costs , improve performance of existing search platforms