
Master the Elastic Stack from Elasticsearch basics to advanced querying, including indexing, shards, and the inverted index, with Logstash, Kibana, and Filebeat for ingest and visualization.
Set up java on mac, download and configure elastic search and kibana, start services with bin commands, verify with curl, and explore kibana dev tools and monitoring dashboards.
Leverage dedicated ta support to get answers quickly through the course q&a, stack overflow references, and fast responses within 24 hours, boosting your learning and problem solving.
Elasticsearch is a document oriented search engine that stores, deletes, retrieves documents and enables analytics via commands, using an inverted index on Lucene for fast, relevant JSON searches.
Learn to index, retrieve, and delete documents in Elasticsearch using the Kibana dev tools. Create a vehicles index with unique IDs and understand type deprecation and reindexing.
Learn how Elasticsearch builds index structure from documents with mappings and settings, supports dynamic fields, and enforces a single type per index, using business, contracts, and employees examples.
Explore how Elasticsearch distributes requests across a cluster with primary and replica shards, balancing reads via round robin, and how indexing uses analysis, inverted indices, and segments for high availability.
Understand how text analysis creates an inverted index for indexing and searching. Apply tokenization and filters like stop-word removal, lowercasing, stemming, and synonyms.
Define an Elasticsearch index for customers by specifying settings and a single mapping type, detailing fields like name, gender, age, total spent, is new, and analyzing with the standard analyzer.
Explore index settings and mappings, including dynamic mapping and adding fields like address, and test analyzers with Kibana's _analyze endpoint to compare whitespace, standard, and English analyzers.
Master the Elasticsearch query DSL by using the query context to perform full-text searches with match and exists, and combine conditions with bool must for precise results.
Master Elasticsearch query DSL by exploring bool queries with must, must_not, and should, plus minimum_should_match, multi_match, match_phrase, and range queries across course name and professor department.
Master the filter context and bull in Elasticsearch to build non scoring filters within the query context, using must, should, and range with field boosting.
Learn to use Elasticsearch aggregations to summarize data with terms, avg, max, and min on vehicle data; build aggs queries, use keyword fields, and compute per-manufacturer insights.
Learn to use Elasticsearch aggregations to compute stats on price, create buckets by make and sold date ranges, and apply nested metrics like min, max, and average within each bucket.
download and set up Logstash to feed Elasticsearch, learning the inputs, filters, and outputs pipeline, with on-the-fly testing via -E and Java 8 compatibility.
Configure Logstash to ingest Apache logs into Elasticsearch using a dedicated apache.conf, apply grok, mutate, date, geoip, and useragent filters, and index results for daily Kibana discovery.
Explore Kibana visualizations and dashboards, using the discover and visualize tabs to work with Logstash-indexed Elasticsearch data and configure index patterns with GeoIP mappings.
Explore advanced Kibana visualizations and dashboards for Elasticsearch data, creating pie charts, bar charts, maps, and date histograms from Logstash indexed logs, using GeoIP enrichment and timestamped time series.
Explore how Kibana, Logstash, and Beats fit into the Elasticsearch ecosystem. Architect apps to ship logs from edge servers to Elasticsearch for analytics.
Learn to download and install Filebeat, configure Filebeat.yml to ingest logs into Elasticsearch, and understand Filebeat components: prospector, harvester, and spooler for shipping to Elasticsearch or Logstash.
Ship logs from Filebeat to Logstash and index them in Elasticsearch, using Beats input on port 5044 and Filebeat metadata to define the index, with Kibana for verification.
Welcome to the Complete Elasticsearch Masterclass with Logstash and Kibana Course!
Are you an aspiring developer or IT professional eager to master the ELK stack (Elasticsearch Logstash Kibana)?
Do you want to build real-time search and analytics applications from scratch?
Have you struggled to find a course that breaks down complex data technologies into clear, hands‑on lessons?
Are you looking for a structured, practical course that combines theory with real-world projects?
If you answered yes to any of these questions, you’ve found the right course!
What Makes This Course Stand Out?
Comprehensive & Structured Content: Start with the fundamentals of Elasticsearch and progress to advanced search, analytics, and performance optimization.
Job-Ready Skills: Equip yourself with the practical knowledge and real-world experience employers demand.
Expert Guidance: Learn from the Professional Data Engineer, Imtiaz Ahmad, who has deployed and managed ELK stack solutions in live environments for financial institutions from Wall Street.
Flexible Learning: Enjoy lifetime access, on‑demand videos, downloadable resources, and a certificate of completion to boost your resume.
Why This Course Is Essential:
Elasticsearch is the biggest player in the big-data space since Hadoop. I would actually vouch that it's the Hadoop killer!
It's just now beginning to gain recognition and wider adoption in the No-SQL Big-Data space and Elasticsearch has come a long way since its first release. I'm sure that by just adding Elasticsearch to your LinkedIn profile you're going to gain the attention of various companies investing in this technology. So get excited about Elasticsearch because it is a big deal. The average salary for an Elasticsearch engineer is over $100,000 and the demand for engineers is high.
This course is most suited for people who want to power up their resume with this new and exciting technology and power up their applications to be blazing fast by implementing Elasticsearch correctly. I've designed this course to be practical and easy to follow by repeating key concepts with step-by-step instructions and best practices for building a search Engine from scratch.
By the end of this course, you'll know everything there is to know about how to build a search engine using the most recent and popular version of Elasticsearch for your application as well as how to perform powerful real-time analytics on your data.
Topics covered in Complete Elasticsearch Masterclass with Logstash and Kibana course:
Getting Started with the ELK Stack
Overview of Elasticsearch
Understanding Elasticsearch Architecture
What is ELK Stack?
Setting up Elasticsearch and Kibana
Downloading and Configuring Logstash
Indexing, Retrieving and Deleting Documents
Indexing Data in Elasticsearch
Text Analysis
Index Settings
Index Mapping
Mastering the Query DSL
Searching DSL Query Context
Searching DSL Filter Context
Aggregations DSL
Performance Tuning and Scaling in Elasticsearch
Data Aggregation and Analysis in Elasticsearch
Introduction to Logstash
Configuring Logstash Pipelines
Data Ingestion and Transformation with Logstash
Introduction to Kibana
Creating and Customizing Kibana Dashboards
Data Visualization and Reporting in Kibana
Real-World ELK Stack Project Implementation
Indexing Apache Application Logs
Kibana Visualizations and Dashboards
Using Filebeat with Logstash
Important Announcement: This course is continually updated to ensure you receive the most current and relevant training in the ELK stack. Expect regular updates, new projects, and enhanced community support to keep you ahead in the rapidly evolving tech landscape. This course will also be constantly updated with more assignments, quizzes, and lectures to enrich your knowledge of the ELK stack.
Key Benefits of Elasticsearch, Logstash and Kibana Mastery
Unlock In-Demand Career Opportunities: Gain a competitive edge in data analytics and search technology by mastering one of today’s most sought-after skill sets.
Build Scalable, Real-World Solutions: Develop the expertise to design and implement robust, high-performance search engines and dynamic data pipelines that meet industry demands.
Transform Data into Actionable Insights: Learn to efficiently process, analyze, and visualize large datasets using Elasticsearch, Logstash, and Kibana—empowering data-driven decision-making.
Future-Proof Your Skills: Stay ahead of the technology curve with up-to-date content on the latest features and best practices of the ELK stack.
Enhance Your Professional Portfolio: Earn a certificate of mastery that validates your expertise, giving you a strong foundation for career growth in big data, IT, and beyond.
By completing this course, you'll be proficient in deploying and managing the ELK stack and position yourself as a valuable asset to any organization looking to leverage big data for strategic advantage.
STUDENT REVIEWS
With over 47,000 students and a 4.6 Star rating, this is a Udemy Bestseller course with thousands of students who have benefitted from the content. Don’t just take it from me, take it from the students that have taken this course.
★★★★★ Here are reviews from real students who took this course ★★★★★
★★★★★ This is an awesome Masterclass. It provides all the basics to work with the ELK-Stack and gives a deep look in how the core Elasticsearch is working and how to use it. Thanks to some sketches he explains the structure behind the programs. Here he might use a tablet to make his drawings as professional as the rest of the course. Thanks for the great help.
★★★★★ Instructor explains topics concisely and in depth. He provides resources that you can visit while watching the lectures to get better understanding of the topics he discusses. In addition, he encourages students to do some examples (challenges) that will solidify their understanding of the topics discussed in the course so far.
★★★★★ The teacher is very clear and he explains with simplicity easy and difficult concepts
★★★★★ Walked me through step by step in one lesson. I now have Kibana and Elasticsearch running locally. Awesome..
★★★★★ The instructor is very detailed and goes at pace that is easy to manage and follow along without adding excessive length to the course.
★★★★★ Highly recommended for the people who wants to understand the Elasticseach. I am very happy with the course. When I started I had no idea about the subject but now i'm feeling confident about it. Imtiaz teaching style is great. You will simply love it.
KEY TAKEAWAY
By the end of this course, you’ll have mastered the practical aspects of Elasticsearch, Logstash, and Kibana and you'll have gained the practical expertise to build, manage, and optimize robust search and analytics applications. Transform your career with a course that blends theory with real-world practice. Whether you’re looking to build your own search engine, design interactive dashboards, or simply enhance your tech skill set, our masterclass provides the roadmap to success.
Enroll now and get job-ready with the power of Elasticsearch, Logstash, and Kibana! There is a 30-day money-back guarantee, so if you're not satisfied for any reason, you get your money back no questions asked!