🧩 Part 1/10

✔ What is Elasticsearch and why use it for ML?
✔ Elasticsearch architecture and components
✔ Nodes and clusters
✔ Indices and shards
✔ Documents and mappings
✔ How to install Elasticsearch on Windows, Linux, and Mac
✔ How to verify and test your Elasticsearch installation
...

🧩 Part 2/10

✔ What is Elasticsearch?
✔ How to Install and Run Elasticsearch
✔ Basic Concepts of Elasticsearch
✔ Documents and Indices
✔ CRUD Operations
✔ Search Operations
...

🧩 Part 3/10

✔ Data Ingestion in Elasticsearch
✔ Ingest Nodes and Plugins
✔ Ingest APIs and Methods
✔ Data Preprocessing in Elasticsearch
✔ Pipelines and Processors
✔ Transforms and Aggregations
...

🧩 Part 4/10

✔ What is Elasticsearch and why use it for data analysis?
✔ How to install and configure Elasticsearch
✔ How to index and search data using Elasticsearch queries
✔ How to perform basic data analysis using Elasticsearch metrics aggregations
✔ How to perform advanced data analysis using Elasticsearch buckets aggregations
✔ How to combine queries and aggregations for complex data analysis
✔ How to visualize and explore data using Kibana
...

🧩 Part 5/10

✔ What is Elasticsearch and why use it for ML?
✔ How to set up Elasticsearch and Kibana for ML
✔ How to create and run anomaly detection jobs
✔ How to create and run data frame analytics jobs
✔ How to monitor and manage ML jobs
✔ How to use ML APIs and integrations
...

🧩 Part 6/10

✔ Elasticsearch Machine Learning Overview
✔ Data Frames and Analytics
✔ Anomaly Detection and Forecasting
✔ Accessing Machine Learning Results with APIs
✔ Get Data Frame Analytics Stats API
✔ Get Data Frame Analytics API
✔ Get Anomaly Detection Job Stats API
...

🧩 Part 7/10

✔ Setting up Elasticsearch and Kibana
✔ Loading and indexing data into Elasticsearch
✔ Exploring data with Kibana Lens and Discover
✔ Creating basic visualizations with Kibana Visualize
✔ Building advanced visualizations with Vega and Vega-Lite
✔ Designing and sharing dashboards with Kibana Dashboard
...

🧩 Part 8/10

✔ Scaling Elasticsearch for ML
✔ Horizontal vs Vertical Scaling
✔ Choosing the Right Hardware and Configuration
✔ Using Index Lifecycle Management and Rollups
✔ Security and Authentication for Elasticsearch ML
✔ Enabling SSL/TLS and HTTPS
✔ Configuring Users, Roles, and Privileges
...

🧩 Part 9/10

✔ What is Elasticsearch for ML?
✔ Overview of Elasticsearch for ML
✔ Benefits of Elasticsearch for ML
✔ What is Sentiment Analysis?
✔ Definition and Applications of Sentiment Analysis
✔ Challenges and Techniques of Sentiment Analysis
✔ How to Use Elasticsearch for ML for Sentiment Analysis?
...

🧩 Part 10/10

✔ What is Elasticsearch for ML?
✔ How does it work?
✔ What are the benefits?
✔ Image Recognition: A Challenging Problem
✔ How to Use Elasticsearch for ML for Image Recognition
✔ Preparing the Image Data
✔ Creating an Index and a Pipeline
...