Mine Automation and Data Analytics

via Swayam

Swayam

83 Courses


Overview

Mine Automation and Data Analytics Course Overview

Dive into the future of mining with our comprehensive course on Mine Automation and Data Analytics, designed for individuals eager to master the cutting-edge technologies transforming the mining industry. Participants will embark on a learning journey through the intricacies of mining automation, gaining hands-on experience with artificial intelligence (AI) and other digital technologies pivotal to the mining sectors. This course aims to equip students and researchers alike with the practical skills and knowledge to implement Industry 4.0 innovations in mining operations and processing plants, underscored by real-world case studies.

Who Should Enroll?

This course is ideal for undergraduate students pursuing a Bachelor of Mining Engineering, as well as students from other disciplines keen on researching and applying Industry 4.0 solutions in Mining Engineering on-site. It serves as a valuable resource for those looking to navigate the practical challenges of automation in the mining landscape.

Prerequisites

While an introductory course on Mine Machinery and familiarity with various Mining Methods (including Underground Mining, Surface Mining, Coal Mining, Metal Mining, etc.) are advantageous, they are not mandatory for enrollment in this transformative course.

Industry Endorsements

Leading mining organizations such as Sandvik Mining, Vedanta, and Epiroc Mining recognize the value of this online course, making it exceedingly relevant for professionals at Coal India Limited, the world's largest coal producer, and other industry executives aiming to streamline their operations with automation and data analytics.

Offered by: Swayam
Categories: Robotics Courses, Artificial Intelligence Courses, Data Analysis Courses, Mining Courses

Syllabus


Taught by

Prof. Radhakanta Koner


Tags

india

provider Swayam

Swayam

83 Courses


Swayam

pricing Free Online Course
language English
duration 12 weeks
sessions 21st Jan, 2024