In the first module, you'll learn about the basics of Elasticsearch, its purpose, features, and use cases. You'll also be guided on how to install and configure Elasticsearch and understand its distributed architecture.

The second module delves into optimizing search-based queries in Elasticsearch. Topics include using Elasticsearch's Explain API, improving query performance techniques, and understanding Elasticsearch's scoring algorithm.

This module introduces learners to advanced query mechanisms, including Boolean, fuzzy, and proximity queries. They'll also explore nested queries, script queries, join queries, and the use of Elasticsearch's search templates.

Learners will get practical experience, including installing Elasticsearch on their machines, creating indices, formulating various queries, optimizing search processes, and implementing advanced querying mechanisms.

The course takes approximately 12 hours to complete. This estimate includes time for lectures, hands-on exercises, and projects, but the actual time may vary depending on individual pace and understanding.

Absolutely, the course is designed for self-paced learning. This allows you to progress through the material at a pace that suits your individual needs and schedule.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.