Information Retrieval Courses and Certifications

Packt

Advanced Elasticsearch Operations and Cloud Deployment

Operate Elasticsearch at scale: analyze logs with FileBeat and Kibana, secure with X-Pack, tune shards and index lifecycles, and deploy clusters on Elastic Cloud.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Using Elastic Stack to Monitor Google Cloud

Deploy Elasticsearch with Elastic Cloud and install Beats data shippers to collect logs and metrics from services running on Google Cloud.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Vector Databases and Retrieval Data Engineering

Design, operate, and secure vector retrieval systems: vector schemas, HNSW and IVF index tradeoffs, refresh workflows, retrieval evaluation metrics, and permissions-aware access controls.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Master Kibana Monitoring & Python Integration

Set up Elasticsearch and Kibana with Metricbeat, build metric dashboards, and write Python scripts that query Elasticsearch to automate monitoring reports.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Mastering Apache Solr: Index, Search & Analyze Content

Index PDFs, Word documents, images and CSV files in Apache Solr using Tika and Tesseract OCR, configure multilingual and faceted search, and integrate Java applications.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

EDUCBA

Visualize Supermarket Sales with Kibana

Build interactive Kibana dashboards from supermarket sales data: upload datasets, configure index patterns, apply filters, and visualize sales trends for business insights.

• Coursera
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Packt

Kibana 8.x – A Quick Start Guide to Data Analysis

Turn raw Elasticsearch data into insight with Kibana: build data views, run KQL and ES|QL queries, visualize with Lens, Canvas, TSVB, and share dashboards.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

KodeKloud

EFK Foundations: Elasticsearch, Fluent Bit & Kibana

Build a centralized logging pipeline: index and query data in Elasticsearch, search with KQL and build Kibana dashboards, and ship logs with Fluent Bit.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Measure Vector Similarity

Calculate cosine similarity, dot-product, and Euclidean distance in Python and NumPy, then benchmark how each metric changes vector ranking and retrieval precision.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Elasticsearch Joins & Parent-Child Queries

Bridge relational databases and Elasticsearch's document model: apply nested queries, parent-child mappings, has_child and has_parent queries, inner hits, and global ordinals for performance.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Gen AI Dev- Optimize Application Performance

Optimize generative AI application performance systematically through pre-computation, retrieval systems, model configuration, and API profiling.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Packt

Designing Navigation and Search for Digital Experiences

Design navigation systems and internal search: global, local and contextual structures, site maps, menus and navigation bars, faceted search, filters, and precision-recall tradeoffs.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

KodeKloud

EFK Mastery: Scaling Kubernetes Logging with Hands-on Labs

Deploy Elasticsearch and Kibana on Kubernetes, route logs from a mock eCommerce app and an instrumented Python service through Fluent Bit, and build Kibana dashboards.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Fundamentals of Gen AI Retrieval Dynamics

Learn how retrieval really works for RAG: embeddings, similarity, chunking, query processing, metadata and reranking, plus metrics and diagnostics for failing retrieval systems.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Build Chroma Search

Build a semantic search engine with the Chroma vector database: index documents with embeddings, measure relevance with MRR and precision@5, and deploy a Flask API.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course