Will I gain hands-on experience?

Yes. You will work through practical exercises and mining-focused case studies based on real operational challenges and production scenarios.

Is this suitable for mining engineers and site managers?

Absolutely. The course is highly relevant for professionals involved in operations, planning, maintenance, production, safety, and site supervision.

Will I receive a certification?

Yes, you will receive the AI for Mining Certification after successfully completing the course.

Can I apply these skills immediately?

In most cases, yes. The tools and workflows covered are designed for direct implementation within current mining operations and projects.

Do I need to know how to code?

No coding knowledge is required. You will use intuitive AI tools designed for industrial and operational environments.

How will this certification support my career growth?

As mining operations continue adopting automation and data-driven technologies, these skills help position you for leadership roles in digital mining, operational optimization, and innovation management.

Is the course practical or theoretical?

The course is highly practical, focusing on measurable operational improvements using real mining data and workflows.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI for Mining

AI for Mining

Instructor: AI CERTs Team

Included with

Learn more

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Apply AI to Mining Operations: Apply AI analytics to improve planning, monitor production, and optimize resource utilization.
Leverage Predictive Analytics to Reduce Downtime: Leverage mining data to forecast failures, identify risks, and optimize maintenance.
Streamline Exploration and Production Workflows: Streamline exploration and production tracking for clearer, more effective workflows.
Strengthen Mine Safety and Operational Performance: Use AI insights to improve mine safety, reduce operational risks, and boost productivity.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 8 modules in this course

Mining companies today face growing pressure to reduce downtime, improve production efficiency, strengthen worker safety, and maximize resource utilization. The AI for Mining Certification is a beginner-friendly, hands-on course that helps mining professionals apply artificial intelligence to exploration, equipment monitoring, production planning, and operational decision-making without requiring coding skills.

This certification is built around real mining workflows, including mineral exploration, equipment maintenance, production forecasting, and site safety management. You will learn how AI-powered systems help mining teams predict equipment issues earlier, improve workflow visibility, and make faster data-driven decisions across operations. Each module combines practical instruction with real-world mining scenarios, helping you analyze production data, streamline workflows, and strengthen operational planning. By the end of the course, you will be able to reduce downtime, improve resource allocation, strengthen site safety, and support more efficient mining operations using practical AI tools. Enroll to gain recognized certification and build practical AI-driven mining skills that improve operational efficiency, predictive maintenance, production planning, and workplace safety across modern mining environments.

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

What's included

10 videos1 reading1 assignment3 plugins

10 videosTotal 169 minutes

Navigation Video2 minutes
Course Introduction4 minutes
Audio Book: Course Introduction3 minutes
Audio Book: Module 1: Introduction to AI in Mining121 minutes
Podcast: Module 1: Introduction to AI in Mining17 minutes
1.1 Overview of Artificial Intelligence, Machine Learning, and Deep Learning in Mining8 minutes
1.2 How AI Learns from Data Mining and Makes Predictions5 minutes
1.3 AI-Powered Automation vs. Traditional Automation in Mining3 minutes
1.4 Use Cases3 minutes
1.5 Case Study: AI in Exploration – KoBold Metals' AI-Driven Rare Earth Element Discovery3 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

3 pluginsTotal 45 minutes

Module 1: Introduction to AI in Mining15 minutes
Activity: Case Study15 minutes
Activity: MCQ Double line15 minutes

What's included

6 videos2 readings1 assignment3 plugins

6 videosTotal 173 minutes

Audio Book: Module 2: Machine Learning & Deep Learning for Mining 137 minutes
Podcast: Module 2: Machine Learning & Deep Learning for Mining 17 minutes
2.1 Introduction to Machine Learning and Deep Learning9 minutes
2.2 Key ML and DL Techniques used in Mining5 minutes
2.3 Use Cases2 minutes
2.4 Case Study2 minutes

2 readingsTotal 20 minutes

Hands On - 110 minutes
Hands On - 210 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

3 pluginsTotal 45 minutes

Module 2: Machine Learning & Deep Learning for Mining 15 minutes
Activity: Accordion15 minutes
Activity: MCQ Double line15 minutes

What's included

9 videos1 reading1 assignment3 plugins

9 videosTotal 238 minutes

Audio Book: Module 03: AI in Mineral Exploration and Resource Modeling182 minutes
Podcast: Module 03: AI in Mineral Exploration and Resource Modeling18 minutes
3.1 AI for Smart Exploration and Orebody Modeling8 minutes
3.2 AI-Powered Geophysical and Geochemical Data Analysis for Deposit Identification6 minutes
3.3 How Machine Learning Improves Mineral Prediction Accuracy5 minutes
3.4 AI-Driven Geostatistical Modeling and Anomaly Detection for New Deposits4 minutes
3.5 AI in 3D Orebody Modeling7 minutes
3.6 Use Cases5 minutes
3.7 Case Study4 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

3 pluginsTotal 45 minutes

Module 03: AI in Mineral Exploration and Resource Modeling15 minutes
Activity: Problem Statement15 minutes
Activity: MCQ Double line15 minutes

What's included

8 videos1 reading1 assignment3 plugins

8 videosTotal 238 minutes

Audio Book: Module 04: AI for Equipment Automation and Fleet Optimization177 minutes
Podcast: Module 04: AI for Equipment Automation and Fleet Optimization25 minutes
4.1 AI in Autonomous Vehicles and Robotics9 minutes
4.2 AI-Powered Decision-Making for Fleet Dispatch and Haulage Optimization5 minutes
4.3 AI in Robotic Excavation, Drilling, and Material Transportation5 minutes
4.4 AI in Underground Mining Automation for Safety and Efficiency6 minutes
4.5 Use Cases5 minutes
4.6 Case Study6 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

3 pluginsTotal 45 minutes

Module 04: AI for Equipment Automation and Fleet Optimization15 minutes
Activity: Drag-and-drop15 minutes
Activity: MCQ Double line15 minutes

What's included

7 videos1 reading1 assignment3 plugins

7 videosTotal 153 minutes

Audio Book: Module 05: AI in Predictive Maintenance and Asset Management105 minutes
Podcast: Module 05: AI in Predictive Maintenance and Asset Management24 minutes
5.1 AI-Powered Predictive Maintenance in Mining: Leveraging IoT and Machine Learning7 minutes
5.2 AI for Enhanced Equipment Reliability: Monitoring and Reducing Downtime in Heavy Machinery5 minutes
5.3 AI-Powered Predictive Maintenance: Anglo American Case Study4 minutes
5.4 Predictive Maintenance for Mining Fleet: AI-Driven Wear Prediction for Haul Trucks4 minutes
5.5 Case Study: AI in Predictive Equipment Failure - Reducing Unplanned Downtime in Mining Operations4 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

3 pluginsTotal 45 minutes

Module 05: AI in Predictive Maintenance and Asset Management15 minutes
Activity: Scenario15 minutes
Activity: MCQ Double line15 minutes

What's included

8 videos1 reading1 assignment3 plugins

8 videosTotal 138 minutes

Audio Book: Module 06: AI for Environmental Compliance and Sustainability98 minutes
Podcast: Module 06: AI for Environmental Compliance and Sustainability15 minutes
6.1 AI in Real-Time Air Quality Monitoring3 minutes
6.2 AI for Water Resource Management Monitoring4 minutes
6.3 AI in Soil Contamination Analysis 4 minutes
6.4 AI in Emission Reduction7 minutes
6.5 Use Cases4 minutes
6.6 Case Study: AI-Driven Sustainability at Rio Tinto4 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

3 pluginsTotal 45 minutes

Module 06: AI for Environmental Compliance and Sustainability15 minutes
Activity: Tab15 minutes
Activity: Summative Quiz15 minutes

What's included

8 videos2 readings1 assignment3 plugins

8 videosTotal 171 minutes

Audio Book: Module 07: AI for Workforce Transformation and Ethical AI125 minutes
Podcast: Module 07: AI for Workforce Transformation and Ethical AI18 minutes
7.1 AI-driven workforce augmentation and ethical considerations in AI adoption10 minutes
7.2 AI and Workforce Reskilling4 minutes
7.3 Fair AI in Mining4 minutes
7.4 AI in Augmented Reality (AR) and Virtual Reality (VR)5 minutes
7.5 Use Cases2 minutes
7.6 Case Study: How Anglo-American Uses AI for Workforce Reskilling3 minutes

2 readingsTotal 20 minutes

Hands On - 110 minutes
Hands On - 210 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

3 pluginsTotal 45 minutes

Module 07: AI for Workforce Transformation and Ethical AI15 minutes
Activity: True/False15 minutes
Activity: MCQ Double line15 minutes

What's included

9 videos1 assignment3 plugins

9 videosTotal 138 minutes

Audio Book: Module 08: AI in Mining Strategy and Implementation77 minutes
Podcast: Module 08: AI in Mining Strategy and Implementation33 minutes
8.1 AI’s Role in High-level Strategic Decision-Making4 minutes
8.2 How AI Improves Production Forecasting3 minutes
8.3 AI in Mining Finance and Risk Management5 minutes
8.4 AI for Regulatory Compliance and Legal Risk Assessment in Mining4 minutes
8.5 Use Cases4 minutes
8.6 Case Study: Vale's AI-Driven Supply Chain Optimization Strategy5 minutes
Course Summary4 minutes

1 assignmentTotal 30 minutes

Quiz 830 minutes

3 pluginsTotal 45 minutes

Module 08: AI in Mining Strategy and Implementation15 minutes
Activity: Carousel15 minutes
Activity: Summative Quiz15 minutes

Instructor

AI CERTs Team

AI CERTs

58 Courses37,467 learners

Offered by

AI CERTs

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Frequently asked questions

By the end of this course, you will be able to reduce downtime, improve production performance, optimize production workflows, and make faster data-driven decisions across mining operations.

No prior AI experience is required. The course is designed for mining professionals from non-technical backgrounds, making it easy to start applying concepts immediately.

Unlike traditional programs focused mainly on theory, this course emphasizes practical AI applications used in modern mining environments and operational workflows.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

AI for Mining

AI for Mining

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 8 modules in this course

Module 01: Introduction to AI in Mining

What's included

Module 02: Machine Learning and Deep Learning for Mining

What's included

Module 03: AI in Mineral Exploration and Resource Modeling

What's included

Module 04: AI for Equipment Automation and Fleet Optimization

What's included

Module 05: AI in Predictive Maintenance and Asset Management

What's included

Module 06: AI for Environmental Compliance and Sustainability

What's included

Module 07: AI for Workforce Transformation and Ethical AI

What's included

Module 08: AI in Mining Strategy and Implementation

What's included

Instructor

Offered by

Explore more from Environmental Science and Sustainability

Machine/Deep Learning for Mining Quality Prediction-Enhanced

Industrial Applications of AI

AI in Supply Chain Forecasting and Risk Management

Petroleum Engineering with AI Applications

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Unlock access to 10,000+ courses with a subscription

Advance your career with an online degree

Join over 4,700 global companies that choose Coursera for Business

Frequently asked questions

What outcomes can I expect after completing this course?

Do I need prior experience in AI?

How is this different from traditional mining programs?

More questions